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So far the script is written and the first clip has been generated via Seedance in 720x1280 format. The user wants the native gibberish audio replaced with proper Hindi dialogue and lipsync, and since paid backends are billing-locked, they've opted for the free edge-tts route with a "Young & expressive" voice. The previous session generated five lines with hi-IN-SwaraNeural, but those files lived in the old sandbox and are gone now, so I'll need to regenerate them — quick to redo, though I should frame it as a re-run due to the sandbox reset rather than a repeat. The bigger challenge is fitting the dialogue into the timing windows: the clip is only 15.1 seconds but the five lines total roughly 20.3 seconds of speech, and even pushing tempo to a maximum reasonable 1.28x only gets me to about 15.9 seconds — still tight against windows like a 3-second slot needing to hold a 5.18-second line. I'm weighing options like re-adjusting the timing windows themselves rather than forcing unnatural tempo changes. Counting syllables instead — line 2 has roughly 14 syllables, which at fast natural Hindi speech would take about 2.2s, much less than the 5.18s edge-tts produces. That gap is mostly from the long pauses edge-tts inserts for "…" and "?!", so trimming those silences with silenceremove should recover most of the needed time without unnatural speed-up. My plan: generate at a faster rate, trim leading/trailing silence, compress internal pauses over 0.3s, then measure duration and apply atempo up to 1.25x if still too long, falling back to a dynamic layout where each line starts at max(nominal start, previous end plus gap) and a global tempo adjustment kicks in only if the total exceeds 14.6s. Since line 1's face isn't visible (extreme close-up on hands) and the script freezes around 14-15s, I want dialogue confined to roughly 0.2-14.4s. For muxing, I'll replace the original gibberish audio entirely with the new track — the script calls for SFX/music cues like dhol hits and heartbeat builds, but synthesizing those cheaply with ffmpeg risks sounding hokey, so I'm leaning toward dialogue-only replacement as the core deliverable. A completely silent bed under the TTS voice could feel sterile though, and mixing in the original low-volume ambience isn't viable since the gibberish speech would bleed through and distract. The one exception worth considering is adding a simple synthesized heartbeat for the final 11-15s section, since the script explicitly calls for it and it's simple enough to fake convincingly. I'm planning a soft two-thump heartbeat ramping from 80 to 110 bpm, faded in from 8.5s to 15s at around -18 dB, plus a brief low-frequency thump at the very start for the dhol impact. It's a moderate risk since I can't actually listen to verify, but a subtle heartbeat feels like the safer choice compared to leaving things too sparse or risking a poorly synthesized effect. I'm also weighing whether to burn in Hindi subtitles, since lip movements won't match the audio and subtitles are standard practice for Indian reels-style comedy content. I need to check if a Devanagari font is available in the sandbox via fc-list, since ffmpeg-static typically bundles libass and freetype but may lack proper Devanagari font support — I may need to fetch Noto Sans Devanagari separately. Devanagari conjuncts and matras need HarfBuzz shaping to render correctly, and libass supports this while drawtext's support is less certain, so I'll go with ASS subtitles via libass. I can verify rendering by extracting frames from the finished video and viewing them directly. For delivery, I'll copy the final mp4 into public/ and build a page with a player and download link, though I should watch out for HEVC playback issues in Chrome. I should transcode to H.264/AAC with faststart for browser compatibility as part of finalizing the video, and I'll clean up the unused AI Gateway dub route since it's dead code now. For tooling, I need ffmpeg (via ffmpeg-static), edge-tts installed via pip, and a Devanagari font — I'll check what's already available in the sandbox before setting things up in parallel: downloading the clip, installing ffmpeg binaries, and confirming font availability. 3c:o527,128:T515,mkdir -p /tmp/dub /tmp/tools && cd /tmp/dub && curl -sL -o clip1.mp4 "https://hebbkx1anhila5yf.public.blob.vercel-storage.com/Kamla%27s%20Dough%20Drama-necPszTXTV72nsgeTLVcE68IgTPR8n.mp4" & cd /tmp/tools && npm install --silent ffmpeg-static ffprobe-static 2>&1 | tail -1 & python3 -m pip install -q --user --break-system-packages edge-tts 2>&1 | grep -v WARNING | tail -1 & wait cd /tmp/tools && chmod +x node_modules/ffmpeg-static/ffmpeg node_modules/ffprobe-static/bin/linux/x64/ffprobe echo "--- clip"; ls -la /tmp/dub/clip1.mp4 /tmp/tools/node_modules/ffprobe-static/bin/linux/x64/ffprobe -v error -show_entries format=duration:stream=codec_type,codec_name,width,height,r_frame_rate,sample_rate,channels -of default=noprint_wrappers=1 /tmp/dub/clip1.mp4 echo "--- edge-tts"; python3 -c "import edge_tts; print('edge_tts', edge_tts.__version__ if hasattr(edge_tts,'__version__') else 'ok')" echo "--- ffmpeg filters/libs"; /tmp/tools/node_modules/ffmpeg-static/ffmpeg -hide_banner -version | head -2; /tmp/tools/node_modules/ffmpeg-static/ffmpeg -hide_banner -filters 2>/dev/null | grep -E " (subtitles|ass|drawtext|atempo|silenceremove|loudnorm|adelay|amix|sine|anoisesrc) " echo "--- fonts"; fc-list 2>/dev/null | grep -iE "devanagari|noto|hindi" | head; ls /usr/share/fonts 2>/dev/null | head129:T96d,3c:o96d,cd /tmp/dub && mkdir -p tts fonts && (curl -sL -o fonts/NotoSansDevanagari-Bold.ttf "https://github.com/notofonts/devanagari/raw/main/fonts/NotoSansDevanagari/hinted/ttf/NotoSansDevanagari-Bold.ttf"; ls -la fonts) & cat > clip1_dialogue.json <<'EOF' [ {"id":1,"start":0.0,"end":2.0,"style":"off-screen scream","text":"हाय राम!!"}, {"id":2,"start":2.0,"end":5.0,"style":"panicked","text":"ये आटा है… या गोंद?! हाथ ही नहीं छूट रहा!"}, {"id":3,"start":5.0,"end":8.0,"style":"flustered","text":"बस एक कटोरी पानी ज़्यादा… बस एक!"}, {"id":4,"start":8.0,"end":11.0,"style":"whisper-shout","text":"और रामलाल जी दस मिनट में आ रहे हैं… भूखे!"}, {"id":5,"start":11.0,"end":14.0,"style":"to camera, desperate","text":"अब आटा फेंकूँ… या मैं भाग जाऊँ?!"} ] EOF cat > gen_tts.py <<'EOF' import asyncio, json, subprocess import edge_tts FP = "/tmp/tools/node_modules/ffprobe-static/bin/linux/x64/ffprobe" VOICE = "hi-IN-SwaraNeural" lines = json.load(open("clip1_dialogue.json")) # Per-line prosody tuned to each emotional beat (rate, pitch) PROSODY = { 1: ("+10%", "+25Hz"), 2: ("+22%", "+15Hz"), 3: ("+15%", "+8Hz"), 4: ("+18%", "+5Hz"), 5: ("+12%", "+20Hz"), } def dur(p): return float(subprocess.run([FP,"-v","error","-show_entries","format=duration","-of","csv=p=0",p],capture_output=True,text=True).stdout.strip()) async def main(): for L in lines: rate, pitch = PROSODY[L["id"]] out = f"tts/line{L['id']}.mp3" tts = edge_tts.Communicate(L["text"], VOICE, rate=rate, pitch=pitch) words = [] with open(out, "wb") as f: async for chunk in tts.stream(): if chunk["type"] == "audio": f.write(chunk["data"]) elif chunk["type"] == "WordBoundary": words.append({"text": chunk["text"], "start": chunk["offset"]/1e7, "end": (chunk["offset"]+chunk["duration"])/1e7}) json.dump(words, open(f"tts/line{L['id']}.words.json","w"), ensure_ascii=False) print(f"line{L['id']}: {dur(out):.2f}s speech-span={words[0]['start']:.2f}-{words[-1]['end']:.2f}s rate={rate} '{L['text']}'") asyncio.run(main()) EOF python3 gen_tts.py; wait3c:o4ba,12a:T4a8,I'm adding up the actual voiced spans to about 15 seconds total against roughly 14 seconds of windows, accounting for trailing and leading silence, and I want to cap the longer internal pauses around punctuation like "…" and "?!" to about 0.25s so timing stays tight. My plan: trim each line to its speech span with a small pad, then use ffmpeg's silenceremove filter to compress any internal or trailing silence longer than 0.3s down to about 0.2s while leaving a touch of leading silence. After that I'll measure the resulting durations and calculate the tempo adjustment needed per line to fit its window (minus a small gap), capping the speed-up around 1.2x using rubberband for quality, and if things still overflow I'll shift the start times of later lines to compensate. But really the nominal windows are just a rough guide — what actually matters is when the mouth is moving in the video, since I don't have the mouth-movement analysis from earlier. So I should extract frames from the video every half second and build a contact sheet with ffmpeg's tile filter so I can visually check when the face is on screen and speaking, which will let me place each line more accurately.12b:Tf8b,3c:of8b,I'm scanning through the contact sheet frames chronologically, noting where hands/dough close-ups transition into face shots with mouth open in a scream, tracking these changes across the early rows of the timeline. Continuing through the rows: 6–8.5s shows a flustered mid-shot with dough on the face and constant talking, 9–11.5s has her looking worried and smearing dough on her forehead, and 12–14.5s ends on a close-up shocked, talking face that freezes at the very end. I'm trying to align dialogue lines to these visual beats — since the face is off-screen until about 2s, the scream line probably belongs off-camera earlier, while the on-screen wide-mouth scream at 2–3s might better fit the start of the next shouted line, so I'm weighing whether to shift the line timing to match what's actually visible. Continuing the timing: line 3 runs 5.7–8.6, line 4 sits at 8.9–11.8 so "भूखे!" hits as her hand touches her forehead, and line 5 falls at 12.1–14.3 during the camera close-up, with a freeze around 14.5. The remaining speech spans for lines 2-5 total roughly 14.27s but I only have about 11.35s of available time after accounting for gaps, so I need to compress by a factor of about 1.26, mainly by tightening internal pauses. I could shave the "…" and "?!" pauses down by roughly 0.4-0.7s each across five instances, saving about 1.5s, which brings the tempo need to a more natural 1.13x rather than pushing rubberband stretching too hard — native rate adjustment in edge-tts is higher quality than post-processing anyway. I want to check word boundaries first to identify where these internal pauses actually are, then write a script that trims any inter-word gap over 0.28s down to 0.2s, likely using ffmpeg's silence-based filtering combined with word-boundary detection for precision. Building the ffmpeg segment concatenation... boundary runs with generous padding, only compressing gaps over 0.35s, then converting the audio to 48kHz. I'm planning to time-stretch with rubberband capped around 1.22x tempo if needed, then sequentially place clips ensuring the last one ends by 14.45s, before moving to build the SFX layer starting with a dhol impact hit at the opening. For the impact I'll fake a convincing thud using a low sine tone with fast decay plus a short noise burst, since a real dhol sample isn't available. For the heartbeat section building from 11-15s, I'm planning a lub-dub pulse pattern accelerating from about 75 to 100 bpm with rising volume, synthesized as low-pass filtered sine thumps, and I need to figure out whether numpy is available or whether I should just generate raw PCM with the wave module instead. I'm deciding pure Python loops are fast enough for 720k samples at 48kHz, so I'll build the whole SFX track directly with the wave module and math functions. I'll also add a very quiet band-limited noise bed around -45 to -48 dBFS to avoid dead silence between lines, skip trying to synthesize the wet squelch sound seen in the original footage, and I'm second-guessing whether to keep any of the original audio at low volume since the speech itself is gibberish. Now I'm working out subtitle placement — using an ASS file with Devanagari font, white text with black outline for readability, sized around 44pt on a 720-wide 9:16 frame, and positioning it low enough to avoid covering her mouth during the final close-up shot where her face fills the frame. I'm also thinking about timing: keeping lines short with manual line breaks, and possibly splitting the "ये आटा है… या गोंद?!" line into two separate subtitle events around the natural pause for better pacing. For the final mux, I'll re-encode with H.264 (crf 18, yuv420p, 24fps), AAC 192k audio, and produce both a subtitled and a clean no-subtitle version for the user to choose from. I'll also loudness-normalize the mix to -14 LUFS with -1 true peak, then check the words JSON before proceeding. 3c:oa,12c:T14df,3c:o14df,I'm calculating how much time compressing those pauses saves—each hesitation drops from about 0.7s to 0.22s, shaving roughly 2.4 seconds total, and recomputing the new line durations accordingly. Now I'm mapping each line to specific moments in the footage: the "हाय राम" scream should hit as the face whips into frame around 2 seconds, line 2 should ride the open-mouth movement between 3.5-5.5s, and lines 3-5 need to land near the hand-to-forehead gesture and the cut to close-up. I'm adjusting start times and small tempo tweaks (around 1.05x) on a couple lines so the emotional beats like "भूखे" sync up with the visual cues instead of arriving too late. Rather than hand-tuning each timestamp, I decide the cleaner approach is to have the script compute placement automatically: for each line define a target window, fit the duration within it, clamp tempo between 1.0 and 1.2, then place lines sequentially with a minimum gap after the previous line ends. I lay out the five target windows spanning from just after 1 second to about 14.5 seconds, matching the key visual beats. For pause compression within a line, I split words into runs wherever gaps exceed 0.35s, then trim each run's edges and join runs with a short silence gap. I work through the arithmetic for how much padding to add before and after each run so the total pause reads naturally — landing on roughly a 0.3 second beat since that dramatic "…" pause deserves a slightly longer comedic hold than a purely mechanical trim would give. Recomputing the durations after compression, each line's new length divides into its available window to get a tempo factor, and all lines land at or under 1.1x, so nothing needs further squeezing. I also catch that the very last word in a run — like a shouted line with trailing decay — could get clipped if I use the same tight padding everywhere, so I bump the buffer to 0.18s specifically for the final run to preserve that natural tail. I'm planning the audio pipeline: decode the mp3 to 48kHz mono wav for clean trimming precision, then assemble the master via filter_complex — delaying each fitted line to its start time and mixing without auto-normalization, layered with sound effects and ambient room tone. For the impact SFX, I'm sketching a simple synthesis approach in raw Python using the wave module: a decaying sine tone around 55Hz combined with a short lowpassed noise burst to sell the hit. I'm weighing whether one impact at the very start (dough stretch) is enough, or whether to add a second, softer hit at the whip-pan cut around 1.98s — leaning toward keeping it minimal with just the opening hit plus the squelch, since two hits within two seconds might be too busy. Deciding to skip the fast dhol-tabla loop under the voice from 2-5s, since I can't synthesize convincing tabla and a fake rhythmic pulse would sound cheap; I'll note it as an optional addition with a real music track later. Then moving on to the heartbeat section from 11.5 to 15.1s, thinking through the lub-dub pairing for each beat. For mixing, I'll set TTS near 0dB and SFX at relative gains, then apply two-pass loudnorm (measure then apply with linear=true) targeting -14 LUFS to avoid pumping from single-pass dynamic normalization. Then I need to work out subtitle timing—mapping word timings from original line time to placed time through the fit transform, using an offset-based function for each run. I'm realizing the natural pause points between runs align with punctuation boundaries, so each run can become one subtitle chunk, but since the word list itself lacks punctuation, I'll manually define the subtitle chunk texts with proper punctuation in the dialogue JSON, keyed to each run. Thinking about display though, 3 quick subtitle changes in 3.3 seconds might flicker too much. I'll instead just show one subtitle event per full line, breaking it into two display lines where it reads naturally — like combining the first two clauses on one line and the last clause on a second line for the whole duration of line 2. For timing I'm giving each event a slight lead-in and trailing buffer around the placed start/end, but clamping so it never overlaps the next line's start. For styling, I'm setting Noto Sans Devanagari at size 46 with bold white text, a dark near-black outline for contrast, shadow, bottom-center alignment, and considering a warm yellow highlight for the punchline to make it pop against the rest. I'm deciding the fontsdir approach for libass should work even without fontconfig fully configured, and I'll verify it by rendering a test frame. Now I'm sketching out the assembly script's steps, starting with decoding the audio to mono wav and then handling each subtitle line by trimming and concatenating segments. Then I need to insert silence gaps between speech runs, apply rubberband time-stretching when the tempo exceeds a small threshold, add fade in/out, and write each fitted line to its own wav file while measuring durations. From there I'll compute placement timings into a JSON file, generate the sfx track, mix all the line audio with delays and the sfx into a normalized dialogue mix using a two-pass loudnorm, write the ASS subtitle file, and finally render two output videos — one with subtitles burned in and one clean version. 3c:oa,12d:T1e6a,3c:o1e6a,cd /tmp/dub && cat > assemble.py <<'EOF' """Fit TTS lines to picture, build SFX bed, mix, normalize, write subtitles.""" import json, math, os, random, struct, subprocess, wave FF = "/tmp/tools/node_modules/ffmpeg-static/ffmpeg" FP = "/tmp/tools/node_modules/ffprobe-static/bin/linux/x64/ffprobe" SR = 48000 CLIP_DUR = 15.105 # Placement windows derived from the footage (2 fps contact sheet): # 0.0-1.8 hands only | 2.0 whip-cut to face, scream | 3.5-11.5 mid shot talking # 10.5-11.5 hand to forehead | 12.0 close-up to camera | ~14.5 freeze WINDOWS = {1: (1.20, 2.10), 2: (2.35, 5.60), 3: (5.80, 8.65), 4: (8.85, 11.75), 5: (12.05, 14.50)} SUBS = { 1: "हाय राम!!", 2: "ये आटा है… या गोंद?!\\Nहाथ ही नहीं छूट रहा!", 3: "बस एक कटोरी पानी ज़्यादा…\\Nबस एक!", 4: "और रामलाल जी दस मिनट में\\Nआ रहे हैं… भूखे!", 5: "अब आटा फेंकूँ…\\Nया मैं भाग जाऊँ?!", } GAP_SPLIT = 0.35 # word gaps longer than this are dramatic pauses PRE, POST, LAST_POST, SIL = 0.06, 0.12, 0.22, 0.12 MAX_TEMPO = 1.20 MIN_GAP = 0.20 lines = json.load(open("clip1_dialogue.json")) def sh(*args): r = subprocess.run(args, capture_output=True, text=True) if r.returncode: raise RuntimeError(" ".join(args[:3]) + "\n" + r.stderr[-1500:]) return r def dur(p): return float(sh(FP, "-v", "error", "-show_entries", "format=duration", "-of", "csv=p=0", p).stdout.strip()) os.makedirs("fit", exist_ok=True) placed = [] for L in lines: i = L["id"] src, wav, out = f"tts/line{i}.mp3", f"fit/raw{i}.wav", f"fit/line{i}.wav" sh(FF, "-v", "error", "-y", "-i", src, "-ar", str(SR), "-ac", "1", wav) total = dur(wav) words = json.load(open(f"tts/line{i}.words.json")) # Group words into runs separated by dramatic pauses runs, cur = [], [words[0]] for w in words[1:]: if w["start"] - cur[-1]["end"] > GAP_SPLIT: runs.append(cur); cur = [w] else: cur.append(w) runs.append(cur) # Build trim+concat filtergraph; remember the time-remap for subtitles parts, labels, remap, cursor = [], [], [], 0.0 for k, run in enumerate(runs): a = max(0.0, run[0]["start"] - PRE) b = min(total, run[-1]["end"] + (LAST_POST if k == len(runs) - 1 else POST)) parts.append(f"[0:a]atrim=start={a:.3f}:end={b:.3f},asetpts=PTS-STARTPTS[r{k}]") labels.append(f"[r{k}]") remap.append((a, cursor)) cursor += b - a if k < len(runs) - 1: parts.append(f"anullsrc=r={SR}:cl=mono,atrim=duration={SIL}[s{k}]") labels.append(f"[s{k}]") cursor += SIL fitted = cursor window = WINDOWS[i][1] - WINDOWS[i][0] tempo = min(max(fitted / window, 1.0), MAX_TEMPO) chain = f"{''.join(labels)}concat=n={len(labels)}:v=0:a=1" if tempo > 1.005: chain += f",rubberband=tempo={tempo:.4f}:pitch=1:transients=crisp" chain += f",afade=t=in:d=0.02,afade=t=out:st={fitted/tempo-0.04:.3f}:d=0.04[out]" sh(FF, "-v", "error", "-y", "-i", wav, "-filter_complex", ";".join(parts + [chain]), "-map", "[out]", out) placed.append({"id": i, "file": out, "dur": dur(out), "tempo": tempo, "remap": remap, "words": words}) # Sequential placement: honor window starts, never overlap prev_end = 0.0 for p in placed: p["start"] = max(WINDOWS[p["id"]][0], prev_end + MIN_GAP) p["end"] = p["start"] + p["dur"] prev_end = p["end"] print(f"line{p['id']}: fitted {p['dur']:.2f}s tempo={p['tempo']:.3f} -> {p['start']:.2f}-{p['end']:.2f}") assert prev_end <= CLIP_DUR - 0.4, f"dialogue overruns picture: ends {prev_end:.2f}" # ---- SFX bed: room tone, impact on the whip-cut, heartbeat build ---------- N = int(CLIP_DUR * SR) buf = [0.0] * N random.seed(7) lp = 0.0 for n in range(N): # soft low-passed room tone lp += 0.03 * (random.uniform(-1, 1) - lp) buf[n] = lp * 0.02 def thump(t0, freq, amp, tau, noise=0.0): s0 = int(t0 * SR) for n in range(s0, min(N, s0 + int(0.6 * SR))): t = (n - s0) / SR env = math.exp(-t / tau) f = freq * (1 + 1.2 * math.exp(-t / 0.03)) # slight pitch drop = "punch" v = math.sin(2 * math.pi * f * t) * env if noise: v += random.uniform(-1, 1) * noise * math.exp(-t / 0.018) buf[n] += amp * v thump(1.98, 52, 0.85, 0.22, noise=0.5) # hit on the whip-cut to Kamla's face hb_t, hb_start, hb_end = 11.35, 11.35, CLIP_DUR while hb_t < hb_end: prog = (hb_t - hb_start) / (hb_end - hb_start) bpm = 78 + 34 * prog gain = 0.30 + 0.55 * prog thump(hb_t, 46, gain, 0.075) thump(hb_t + 0.24, 44, gain * 0.7, 0.065) hb_t += 60.0 / bpm peak = max(abs(v) for v in buf) scale = 0.9 / peak if peak > 0.9 else 1.0 with wave.open("sfx.wav", "wb") as w: w.setnchannels(1); w.setsampwidth(2); w.setframerate(SR) w.writeframes(b"".join(struct.pack("&1 | grep -E "I:|LRA:|Peak:" | tail -3 echo "== speech energy vs placement (silencedetect)"; $FF -hide_banner -i dialogue_mix.wav -af "silencedetect=n=-32dB:d=0.25" -f null - 2>&1 | grep -oE "silence_(start|end): [0-9.]+" | paste -d' ' - - 130:T70e,3c:o70e,cd /tmp/dub && FF=/tmp/tools/node_modules/ffmpeg-static/ffmpeg && export FONTCONFIG_FILE=/tmp/dub/fonts.conf echo "== libass config"; $FF -hide_banner -buildconf 2>/dev/null | grep -iE "libass|fontconfig|freetype|harfbuzz|fribidi" echo "== verbose single frame (ass filter)"; $FF -v verbose -y -ss 1.6 -i clip1.mp4 -vf "ass=subs.ass:fontsdir=/tmp/dub/fonts" -frames:v 1 t_ass.png 2>&1 | grep -iE "ass|font|glyph|style|Dialogue" | head -20 echo "== try Latin text"; printf '[Script Info]\nScriptType: v4.00+\nPlayResX: 720\nPlayResY: 1280\n\n[V4+ Styles]\nFormat: Name, Fontname, Fontsize, PrimaryColour, SecondaryColour, OutlineColour, BackColour, Bold, Italic, Underline, StrikeOut, ScaleX, ScaleY, Spacing, Angle, BorderStyle, Outline, Shadow, Alignment, MarginL, MarginR, MarginV, Encoding\nStyle: T,Noto Sans Devanagari,60,&H00FFFFFF,&H00FFFFFF,&H00000000,&H80000000,-1,0,0,0,100,100,0,0,1,3,1,2,40,40,120,1\n\n[Events]\nFormat: Layer, Start, End, Style, Name, MarginL, MarginR, MarginV, Effect, Text\nDialogue: 0,0:00:00.00,0:00:20.00,T,,0,0,0,,HELLO TEST हाय राम\n' > t.ass $FF -v info -y -ss 1.6 -i clip1.mp4 -vf "subtitles=t.ass:fontsdir=/tmp/dub/fonts" -frames:v 1 t_latin.png 2>&1 | grep -iE "font|ass" | head; python3 -c " from struct import unpack # print font family names from the TTF name table d=open('/tmp/dub/fonts/NotoSansDevanagari-Bold.ttf','rb').read() n=unpack('>H',d[4:6])[0] for i in range(n): tag=d[12+16*i:16+16*i]; off,ln=unpack('>II',d[20+16*i:28+16*i]) if tag==b'name': cnt,so=unpack('>HH',d[off+2:off+6]) for j in range(cnt): pid,eid,lid,nid,l,o=unpack('>HHHHHH',d[off+6+12*j:off+18+12*j]) if nid in (1,2,4,16,17) and pid==3: print(nid, d[off+so+o:off+so+o+l].decode('utf-16-be',errors='ignore')) "3c:o45b,131:T449,cd /tmp/dub/fonts && rm -f NotoSansDevanagari-Bold.ttf Poppins-Bold.ttf && curl -sL -o NotoSansDevanagari-Bold.ttf "https://github.com/notofonts/notofonts.github.io/raw/main/fonts/NotoSansDevanagari/hinted/ttf/NotoSansDevanagari-Bold.ttf"; head -c 4 NotoSansDevanagari-Bold.ttf | xxd; ls -la; if ! head -c 4 NotoSansDevanagari-Bold.ttf | grep -q $'\x00\x01\x00\x00'; then rm -f NotoSansDevanagari-Bold.ttf; echo "static bold unavailable, using variable font"; fi cd /tmp/dub && FF=/tmp/tools/node_modules/ffmpeg-static/ffmpeg && export FONTCONFIG_FILE=/tmp/dub/fonts.conf $FF -v error -y -i clip1.mp4 -i dialogue_mix.wav -map 0:v:0 -map 1:a:0 -vf "subtitles=subs.ass:fontsdir=/tmp/dub/fonts" -c:v libx264 -preset slow -crf 18 -pix_fmt yuv420p -r 24 -c:a aac -b:a 192k -ar 48000 -movflags +faststart -shortest final_subs.mp4 2>&1 | grep -viE "fontconfig|fonctconfig" | head -5 ls -la final_subs.mp4 final_clean.mp4 $FF -v error -y -i final_subs.mp4 -vf "select='eq(n\,40)+eq(n\,96)+eq(n\,168)+eq(n\,252)+eq(n\,318)',scale=288:-1,tile=5x1:padding=4:color=white" -vsync vfr -frames:v 1 subs_check.png132:Ta33,3c:oa33,The subtitles look crisp but a bit small for phone reels, so I'll bump the font from 46 to 52 and thicken the outline slightly for punchier reel-style text, then re-render as I copy the final version into place. Now I'm setting up the deliverable page, moving the finished video into the public video directory with a proper filename. I should also include a poster thumbnail, an SRT subtitle file, and possibly the dialogue-only audio as optional extras since they're cheap to add. For the page itself, since this is a delivery page for "Har Ghar Tamasha," I want a centered 9:16 phone-style video player, the title, a dialogue list with timestamps, download buttons for both versions plus the SRT, and a brief tech spec section -- all designed mobile-first since the preview viewport is unusually short and narrow. Thinking about the visual direction, I want to draw from the subject itself: a rustic Indian village kitchen, brass parat, turmeric-yellow blouse, maroon saree, dhol. I'm avoiding the cream-background-plus-terracotta cliché by going dark instead -- a deep maroon/aubergine background with marigold accents and warm sand-colored text. For the heading, I want a Devanagari-capable display font since the title is in Hindi; Baloo 2 feels right since it's chunky, playful, and supports Devanagari, giving that fun comedy-reel vibe. For body text, I'm pairing it with Mukta, a cleaner sans-serif that also supports Devanagari, so the two-font system is Baloo 2 for headings and Mukta for body copy. For layout, I'm planning mobile-first with a header showing the channel name and clip label, then a two-column desktop layout: phone-shaped video player on the left, and on the right the title, a status chip, download buttons, and a dialogue timeline with timestamps and emotional cues. I want a toggle between subtitled and clean versions of the video, so I'll build a small client component for the video player that swaps the source, keeping everything else server-rendered. I'm structuring this into separate components for the dub player, dialogue timeline, and download links, composed together on the page, along with updates to the layout metadata, fonts, and global styling tokens. I'm also removing the old temporary API route that depended on the billing-locked AI gateway, though I'll leave the unused dependencies in package.json alone since cleaning those isn't necessary right now. Actually, deleting that stale route counts as legitimate cleanup rather than repeating finished work, so I'll go ahead and remove it — but first let me check the current layout and global styles.3c:o9,133:T6bd,3c:o6bd,cd /tmp/dub && FF=/tmp/tools/node_modules/ffmpeg-static/ffmpeg && export FONTCONFIG_FILE=/tmp/dub/fonts.conf sed -i 's/Style: Kamla,Noto Sans Devanagari,46,&H00FFFFFF,&H00FFFFFF,&H00141414,&H80000000,-1,0,0,0,100,100,0,0,1,3.2,1.2,2,48,48,118,1/Style: Kamla,Noto Sans Devanagari,52,\&H00FFFFFF,\&H00FFFFFF,\&H00141414,\&H80000000,-1,0,0,0,100,100,0,0,1,3.6,1.4,2,44,44,116,1/' subs.ass && grep "^Style:" subs.ass $FF -v error -y -i clip1.mp4 -i dialogue_mix.wav -map 0:v:0 -map 1:a:0 -vf "subtitles=subs.ass:fontsdir=/tmp/dub/fonts" -c:v libx264 -preset slow -crf 18 -pix_fmt yuv420p -r 24 -c:a aac -b:a 192k -ar 48000 -movflags +faststart -shortest final_subs.mp4 2>&1 | grep -viE "fontconfig|fonctconfig" # SRT from the ASS events python3 - <<'EOF' import re ev=[l for l in open("subs.ass",encoding="utf-8") if l.startswith("Dialogue:")] def conv(t): h,m,s=t.split(":"); s=float(s); return f"{int(h):02d}:{int(m):02d}:{int(s):02d},{int(round((s-int(s))*1000)):03d}" out=[] for i,l in enumerate(ev,1): p=l.split(",",9); out.append(f"{i}\n{conv(p[1])} --> {conv(p[2])}\n{p[9].strip().replace(chr(92)+'N', chr(10))}\n") open("kamla-clip1-hindi.srt","w",encoding="utf-8").write("\n".join(out)) print(open("kamla-clip1-hindi.srt",encoding="utf-8").read()) EOF mkdir -p /vercel/share/v0-project/public/video cp final_subs.mp4 /vercel/share/v0-project/public/video/kamla-clip1-hindi-dub.mp4 cp final_clean.mp4 /vercel/share/v0-project/public/video/kamla-clip1-hindi-dub-clean.mp4 cp kamla-clip1-hindi.srt /vercel/share/v0-project/public/video/kamla-clip1-hindi.srt $FF -v error -y -ss 12.6 -i final_clean.mp4 -frames:v 1 -q:v 3 /vercel/share/v0-project/public/video/poster.jpg ls -la /vercel/share/v0-project/public/video/3c:o9,134:T6f5,3c:o6f5,With the deliverables now in place, I'm designing the delivery page using a palette drawn straight from the footage—deep maroon backgrounds, warm sand foreground text, and a marigold/turmeric accent color to echo the saree, blouse, and brass parat tones. I'm pairing Baloo 2 for headings with Mukta for body text, both supporting Devanagari and Latin scripts, and laying out the page structure: a header with the show title and clip label, a grid section with a phone-frame dub player on one side and clip details, download links, dialogue timeline, and pipeline specs on the other. I'm also setting up a data file for the clip's timed dialogue lines and building the DubPlayer as a client component with state for toggling between subtitled and clean variants. Now I'm handling video switching—preserving playback position across variant changes using a ref and onLoadedMetadata handler—plus a segmented toggle with aria-pressed buttons, three download links (subtitled MP4, clean MP4, SRT), and a phone frame with a thin marigold border as the visual signature, keeping the Baloo 2 heading as the main personality element. For the clean video, I want to convert the SRT into a WebVTT file so it can use a native `` element for captions, since SRT isn't directly supported—just a quick timestamp format conversion plus the WEBVTT header. I'll also set lang="en" on the page overall but add lang="hi" to the Hindi dialogue spans, and finalize metadata title and a maroon theme color. I need to delete the tmp-dub route and simplify globals.css into a single warm dark theme—defining the palette directly in :root and dropping the separate .dark/media-query blocks since there's no light mode, while keeping color-scheme: dark. Now let me write out these files.3c:oa,135:T1c50,3c:o1c50,[V0_FILE]typescriptreact:file="/app/page.tsx" import { DubPlayer } from '@/components/dub-player' import { DownloadLinks } from '@/components/download-links' import { DialogueTimeline } from '@/components/dialogue-timeline' import { PipelineNotes } from '@/components/pipeline-notes' import { clip } from '@/lib/clip1' export default function Page() { return (

{clip.series} · {clip.seriesLatin}

{clip.episode} · Clip {clip.clipNumber} of {clip.clipCount}

{clip.title}

The generated clip's garbled native audio has been replaced with Kamla's five Hindi lines, spoken by a native neural voice and placed on the actual cuts: the scream lands as her face whips in, and the last line plays over the close-up to camera.

{clip.series} · {clip.seriesLatin}

{clip.episode} · Clip {clip.clipNumber} of {clip.clipCount}

{clip.title}

) } [V0_FILE]typescriptreact:file="/app/layout.tsx" import { Analytics } from '@vercel/analytics/next' import type { Metadata, Viewport } from 'next' import { Baloo_2, Mukta } from 'next/font/google' import './globals.css' const _baloo = Baloo_2({ subsets: ['latin', 'devanagari'], weight: ['700', '800'] }) const _mukta = Mukta({ subsets: ['latin', 'devanagari'], weight: ['400', '500', '700'] }) export const metadata: Metadata = { title: "Kamla's Dough Drama — Hindi Dub | Har Ghar Tamasha", description: 'Final Hindi-dubbed Clip 1 of "आटा-बचाओ पकौड़े" from Har Ghar Tamasha, with burned-in Devanagari subtitles and downloadable MP4 and SRT files.', generator: 'v0.app', icons: { icon: [ { url: '/icon-light-32x32.png', media: '(prefers-color-scheme: light)', }, { url: '/icon-dark-32x32.png', media: '(prefers-color-scheme: dark)', }, { url: '/icon.svg', type: 'image/svg+xml', }, ], apple: '/apple-icon.png', }, } export const viewport: Viewport = { colorScheme: 'dark', themeColor: '#2a1418', } export default function RootLayout({ children, }: Readonly<{ children: React.ReactNode }>) { return ( {children} {process.env.NODE_ENV === 'production' && } ) } [V0_FILE]css:file="/app/globals.css" @import 'tailwindcss'; @import 'tw-animate-css'; @import 'shadcn/tailwind.css'; @custom-variant dark (&:is(.dark *)); @theme inline { --font-sans: 'Mukta', 'Mukta Fallback', system-ui, sans-serif; --font-serif: 'Baloo 2', 'Baloo 2 Fallback', system-ui, sans-serif; --font-mono: ui-monospace, 'SFMono-Regular', Menlo, monospace; --color-sidebar-ring: var(--sidebar-ring); --color-sidebar-border: var(--sidebar-border); --color-sidebar-accent-foreground: var(--sidebar-accent-foreground); --color-sidebar-accent: var(--sidebar-accent); --color-sidebar-primary-foreground: var(--sidebar-primary-foreground); --color-sidebar-primary: var(--sidebar-primary); --color-sidebar-foreground: var(--sidebar-foreground); --color-sidebar: var(--sidebar); --color-chart-5: var(--chart-5); --color-chart-4: var(--chart-4); --color-chart-3: var(--chart-3); --color-chart-2: var(--chart-2); --color-chart-1: var(--chart-1); --color-ring: var(--ring); --color-input: var(--input); --color-border: var(--border); --color-destructive: var(--destructive); --color-accent-foreground: var(--accent-foreground); --color-accent: var(--accent); --color-muted-foreground: var(--muted-foreground); --color-muted: var(--muted); --color-secondary-foreground: var(--secondary-foreground); --color-secondary: var(--secondary); --color-primary-foreground: var(--primary-foreground); --color-primary: var(--primary); --color-popover-foreground: var(--popover-foreground); --color-popover: var(--popover); --color-card-foreground: var(--card-foreground); --color-card: var(--card); --color-foreground: var(--foreground); --color-background: var(--background); --radius-sm: calc(var(--radius) * 0.6); --radius-md: calc(var(--radius) * 0.8); --radius-lg: var(--radius); --radius-xl: calc(var(--radius) * 1.4); --radius-2xl: calc(var(--radius) * 1.8); --radius-3xl: calc(var(--radius) * 2.2); --radius-4xl: calc(var(--radius) * 2.6); } /* Palette drawn from the footage: maroon saree, turmeric blouse, brass parat, warm sand plaster. */ :root { color-scheme: dark; --background: oklch(0.2 0.045 20); --foreground: oklch(0.95 0.02 80); --card: oklch(0.25 0.05 20); --card-foreground: oklch(0.95 0.02 80); --popover: oklch(0.25 0.05 20); --popover-foreground: oklch(0.95 0.02 80); --primary: oklch(0.8 0.16 80); --primary-foreground: oklch(0.2 0.045 20); --secondary: oklch(0.3 0.05 20); --secondary-foreground: oklch(0.95 0.02 80); --muted: oklch(0.3 0.05 20); --muted-foreground: oklch(0.74 0.03 65); --accent: oklch(0.3 0.05 20); --accent-foreground: oklch(0.95 0.02 80); --destructive: oklch(0.65 0.2 25); --border: oklch(1 0 0 / 12%); --input: oklch(1 0 0 / 15%); --ring: oklch(0.8 0.16 80); --chart-1: oklch(0.8 0.16 80); --chart-2: oklch(0.74 0.03 65); --chart-3: oklch(0.5 0.08 20); --chart-4: oklch(0.4 0.06 20); --chart-5: oklch(0.3 0.05 20); --radius: 0.75rem; --sidebar: oklch(0.25 0.05 20); --sidebar-foreground: oklch(0.95 0.02 80); --sidebar-primary: oklch(0.8 0.16 80); --sidebar-primary-foreground: oklch(0.2 0.045 20); --sidebar-accent: oklch(0.3 0.05 20); --sidebar-accent-foreground: oklch(0.95 0.02 80); --sidebar-border: oklch(1 0 0 / 12%); --sidebar-ring: oklch(0.8 0.16 80); } @layer base { * { @apply border-border outline-ring/50; } body { @apply bg-background text-foreground; } } [V0_FILE]typescript:file="/app/api/tmp-dub/route.ts" isDeleted="true" GENERATING3c:o13668,105:["$","$L107",null,{"params":{"chatId":"7zYlMDEPEFH"},"promises":{"attributes":"$@111","externalMeta":"$@112","latest":"$@113","messagesRange":"$@114","messages":"$@115","template":"$@116","gitStatus":"$@117"},"children":["$","$L119",null,{"chatId":"7zYlMDEPEFH","children":["$","$L11a",null,{"seedOnlyKeys":["@\"chat:state\",\"7zYlMDEPEFH\","],"data":{"block:output:initial":{"id":"b_E3Mza3FWRM1","result":"$@11b"},"/chat/api/snapshots/proxy?chatId=7zYlMDEPEFH&messageId=BxIrQfjuoQeNXw6C6csV2uTq6FP2kpnK&v=v2":"$@11c","@\"block:mappings\",\"7zYlMDEPEFH\",":{"sqlBlockExecutionStates":"$Q11d","blocksForkedFrom":"$Q11e","blocksTemplateIds":"$Q11f","blocksCreatedAt":"$Q120","blocksShared":"$Q121","blocksDeployed":"$Q122","blocksSubdomains":"$Q123","brandedBlocks":"$Q124","unlistedBlocks":"$Q125","blockOutputs":"$Q126"},"@\"chat:state\",\"7zYlMDEPEFH\",":{"messages":[{"content":{"type":"parts","parts":[{"type":"mdx","content":"Please duplicate this block."}],"version":1},"role":"user","id":"u0DuecxvskjQRrtOoEvmq1iBoD7625qi","type":"forked-block","authorId":"pbx7yylXaZe9n89vMPC8p8Mj","createdAt":"$D2026-09-10T17:14:27.801Z"},{"content":{"type":"message-binary-format","value":[[0,[["p",{},["strong",{},["text",{},"Har Ghar Tamasha content (3)"]],["text",{}," was duplicated from "],["a",{"href":"https://v0.app/chat/GU2y3Ja5prQ"},["text",{},"Har Ghar Tamasha content (2)"]]],["p",{},["text",{},"Continue chatting to ask questions about or make changes to it."]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-tGEXKPcd32i","parts":[{"type":"code-project","isVersioned":true,"isSourceless":true,"changedFiles":[],"source":"[V0_FILE]tsx:file=\"empty.tsx\"\n...","needsBlockSource":false,"isAllImages":false,"blockId":"tGEXKPcd32i","meta":{"type":"code-project","taskNameActive":"Initializing project","taskNameComplete":"Initialized 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tasks"}],"version":1},"role":"user","id":"V0TRkS3lybmduscYJTAjBuaURaHRAsLG","attachments":[],"parentId":"sV1JqNRhLDBuY9Zgx1nReIhrRHUZuohr","type":"message","authorId":"pbx7yylXaZe9n89vMPC8p8Mj","createdAt":"$D2026-09-10T17:14:44.873Z"},{"v0ModelId":"anthropic/claude-fable-5.1","content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"createdAt":1789060487341,"finishedAt":1789060487965,"lastPartSentAt":1789060487965,"taskNameActive":"Loading Skills...","taskNameComplete":"Loading Skills...","id":"7PBFfQYmRtkYlzk0","type":"task-project-skills-v1","parts":[{"type":"loading-project-skills"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060495856,"finishedAt":1789060495861,"lastPartSentAt":1789060495861,"taskNameActive":null,"id":"yS1aIFAvDarOf7GA","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"Since this is a continuation of an existing project, I should check my memory files and explore the codebase first to figure out what's already been done before proceeding.\n\n"}]}}],["p",{},["text",{},"I'll start by understanding the current state of the project and what's already been completed."]],["AssistantMessageContentPart",{"part":{"type":"task-grouped-tasks-v1","id":"zXCJah6y0aidbK2M-psdw0U5SWNPeq4sO","parts":[{"createdAt":1789060495896,"finishedAt":1789060496061,"lastPartSentAt":1789060496061,"taskNameActive":"Scanning project files","taskNameComplete":"Scanned project files","toolCallId":"toolu_01JEtJ7ruM1gvbCPRqBgmdEp","agentTurnId":"turn_hLRVGoC2f9ymvNDw","filePath":null,"id":"zXCJah6y0aidbK2M","type":"task-ls-repo-v1","parts":[{"type":"ls"},{"type":"ls-results","numFiles":23}]},{"createdAt":1789060497600,"finishedAt":1789060497793,"lastPartSentAt":1789060497793,"taskNameActive":"Checking memories","taskNameComplete":"Checked 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Files"},"id":"rECMsafa9RrLAapy-WetRxfgGv3VYPwO7-aPUbF3DNylIpcTlS-wumfYK1DU7AAN1ag"}],["AssistantMessageContentPart",{"part":{"createdAt":1789060517764,"finishedAt":1789060518081,"lastPartSentAt":1789060518081,"taskNameActive":null,"id":"y91WWJPVAhaE1Yy4","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"The task previously involved transcribing Hindi audio and generating dubbed speech, likely assembling a final video, but since this is a fresh sandbox, the working files from before probably aren't here. I should check the filesystem for any existing video or audio files, including the user_read_only_context directory."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060519957,"finishedAt":1789060520492,"lastPartSentAt":1789060520485,"taskNameActive":"Searching for media files","taskNameComplete":"Searched for media files","toolCallId":"toolu_01Qrn5Y6bzQLFfJkUa6fYnQM","agentTurnId":"turn_m0plRTCrqa5vd1GD","filePath":null,"error":{"type":"HANDLED_EXECUTION_ERROR","message":"Retrying file access","code":"AGENT_GUIDANCE"},"id":"6st1IEMAM2uWJDN3","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"ls -la /vercel/share/v0-project/ && echo \"---USER CONTEXT---\" && ls -laR /vercel/share/v0-project/user_read_only_context 2>/dev/null | head -50; echo \"---TMP---\"; ls -la /tmp | head -50; echo \"---MEDIA SEARCH---\"; find / -xdev \$ -iname \"*.mp4\" -o -iname \"*.mov\" -o -iname \"*.mkv\" -o -iname \"*.wav\" -o -iname \"*.mp3\" -o -iname \"*.srt\" -o -iname \"*.m4a\" -o -iname \"*.webm\" \$ -not -path \"*/node_modules/*\" -not -path \"/proc/*\" -not -path \"/usr/*\" 2>/dev/null | head -50"}}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060527991,"finishedAt":1789060531487,"lastPartSentAt":1789060531382,"taskNameActive":"Searching for media files","taskNameComplete":"Searched for media files","toolCallId":"toolu_013SyX28hjsWh887B2K6tiiW","agentTurnId":"turn_Ql8hnOaZyB362JPs","filePath":null,"id":"LAkLuVYwZhm6G2iG","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"ls -la /vercel/share/v0-project/; echo \"---TMP---\"; ls -la /tmp | head -50; echo \"---MEDIA SEARCH---\"; find / -xdev \$ -iname \"*.mp4\" -o -iname \"*.mov\" -o -iname \"*.mkv\" -o -iname \"*.wav\" -o -iname \"*.mp3\" -o -iname \"*.srt\" -o -iname \"*.m4a\" -o -iname \"*.webm\" \$ -not -path \"*/node_modules/*\" -not -path \"/proc/*\" -not -path \"/usr/*\" 2>/dev/null | head -50"}},{"type":"subtask-log","data":{"logType":"created-terminal","terminalId":"cmd_47b9ed6f368a497da171c8e1ec10","taskId":"bash_cmd_47b9ed6f368a497da171c8e1ec10"},"id":"CuEoOZRutZLy0pkv"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"total 160\ndrwxr-xr-x 9 vercel-sandbox vercel-sandbox 336 Sep 10 17:14 .\ndrwxr-xr-x 10 vercel-sandbox vercel-sandbox 4096 Sep 10 17:14 ..\n-rw-r--r-- 1 vercel-sandbox vercel-sandbox 382 Sep 10 17:14 .env.development.local\ndrwxr-xr-x 7 ve\n\n...\n\nrwxr-xr-x 2 vercel-sandbox vercel-sandbox 6 Sep 9 03:46 agent-browser\ndrwxr-xr-x 4 root root 71 Sep 10 17:14 node-compile-cache\ndrwxr-xr-x 2 vercel-sandbox vercel-sandbox 48 Sep 10 17:14 v0-exec-logs\n---MEDIA SEARCH---\n"},"id":"Nz5ZM1oODomhRFOq"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060537987,"finishedAt":1789060538133,"lastPartSentAt":1789060538133,"taskNameActive":null,"id":"9YCOoZYc8bjKOkPq","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"There are no media files in this sandbox — the duplication only brought over the project source, not the working files like video or audio that lived outside the project or in gitignored paths. I should check the git history for clues and look at the read-only context directory."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060540838,"finishedAt":1789060541248,"lastPartSentAt":1789060541248,"taskNameActive":"Checking read-only context","taskNameComplete":"Checked read-only context","toolCallId":"toolu_014GNEtxy8D5y4My1rN2eZej","agentTurnId":"turn_TNw6GXSz91hNEQOH","filePath":null,"id":"HTloCQFXfXhSdMna","type":"task-ls-repo-v1","parts":[{"type":"ls"},{"type":"ls-results","numFiles":1}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060540042,"finishedAt":1789060543877,"lastPartSentAt":1789060543762,"taskNameActive":"Checking git history","taskNameComplete":"Checked git history","toolCallId":"toolu_01Hst5gkqR5ZgiJmcpgtmM6K","agentTurnId":"turn_TNw6GXSz91hNEQOH","filePath":null,"id":"jjRhm0mrm1Qwceqb","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project && git log --oneline --all | head -30; echo \"---STATUS---\"; git status --short; echo \"---LS PUBLIC---\"; ls -la public; echo \"---ENV NAMES---\"; cut -d= -f1 .env.development.local"}},{"type":"subtask-log","data":{"logType":"created-terminal","terminalId":"cmd_f88548ab49104100b435656b1552","taskId":"bash_cmd_f88548ab49104100b435656b1552"},"id":"EZufNfr1C2tui5h2"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"5f766f0 feat: add @fal-ai/client and update dependencies\\n\\nAdded new dependency for AI client and updated package lock.\ne9d12d5 feat: add new API route for speech and transcription services\n97d33dd Initial commit from v0\n---STATUS---\n---LS PUBLI\n\n...\n\nrw-r--r-- 1 vercel-sandbox vercel-sandbox 1064 Sep 10 17:14 placeholder.jpg\n-rw-r--r-- 1 vercel-sandbox vercel-sandbox 3253 Sep 10 17:14 placeholder.svg\n---ENV NAMES---\nAI_GATEWAY_API_KEY\nV0_RUNTIME_URL\nV0_BUILD_URL\nV0_SANDBOX_URL\nV0_CALLBACK_URL\n"},"id":"mEEwDLC1hR0YXUGp"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060551612,"finishedAt":1789060553843,"lastPartSentAt":1789060553843,"taskNameActive":null,"id":"2O9gGvzvcUCHgZir","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"The duplication only carried over the source code, not the working assets like the video, transcription, or generated audio — those never transferred and aren't present anywhere in this sandbox. Since I don't have access to the previous chat's history, I should try using v0_getChat on the original chat to understand what was actually done there."},{"type":"thinking-end","duration":2,"thought":"Only the source code carried over into this duplicated chat—no video, audio, or transcript files are present. I'll check the original chat to see what was already completed and what still remains."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060559211,"finishedAt":1789060560190,"lastPartSentAt":1789060560061,"taskNameActive":"Reading original chat history","taskNameComplete":"Read original chat history","toolCallId":"toolu_0158ugrzykdZMWS1hzbbcjc2","agentTurnId":"turn_aOBWfPXEHMEwdnKO","mcpName":"v0","filePath":null,"id":"OStSim6UKYyxxM4H","type":"task-dynamic-tool-v1","parts":[{"type":"starting-dynamic-tool-execution","toolName":"v0_listMessages","input":{"chatId":"GU2y3Ja5prQ","limit":30},"permissionPrompt":"Reading the message history of the original chat \"Har Ghar Tamasha content (2)\" to determine which video editing steps were already completed and which remain."},{"type":"finished-dynamic-tool-execution","toolName":"v0_listMessages"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060564861,"finishedAt":1789060565122,"lastPartSentAt":null,"taskNameActive":"Reading full chat history","taskNameComplete":"Read full chat history","toolCallId":"toolu_01W1CMinedo5cvbFQjLGt1gf","agentTurnId":"turn_P5r0BcvodzKBEgac","filePath":null,"id":"rkO90Bnd2el1nVdS","type":"task-read-file-v1","parts":[]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060571782,"finishedAt":1789060571802,"lastPartSentAt":1789060571802,"taskNameActive":null,"id":"tnOYxnNWhMjwNZjM","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I need to keep reading through lines 256-943 to find the source video URL, the dialogue timing JSON, and where the previous session left off."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060572840,"finishedAt":1789060573193,"lastPartSentAt":null,"taskNameActive":"Reading chat history","taskNameComplete":"Read chat history","toolCallId":"toolu_01VfXj95EtQ8tCPMSjif3Cqq","agentTurnId":"turn_Dqyt6KFpv0kNGZHZ","filePath":null,"id":"PzaNsYjClpu1exdw","type":"task-read-file-v1","parts":[]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060583292,"finishedAt":1789060588187,"lastPartSentAt":1789060588187,"taskNameActive":null,"id":"gQ6lbi23l3QiOcSS","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":5,"thought":"I've got the source video details and the Hindi dialogue lines with their timing, and I can see the previous step already generated the five voice lines using edge-tts with the SwaraNeural voice. The line durations exceed their target windows, so I need to compress them with atempo before assembling the dialogue track, muxing it with the video, and delivering the final MP4 through the public folder with a player page. Before doing that, I want to check the earlier user messages to confirm the full scope of what was requested—whether music or sound effects were part of the ask."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060588384,"finishedAt":1789060588526,"lastPartSentAt":1789060588526,"taskNameActive":"Finding user requests","taskNameComplete":"Found user requests","toolCallId":"toolu_01TTW5s2RYhCdUw7PWYUmqbZ","agentTurnId":"turn_7O1anAyNmPYIkiJu","filePath":null,"id":"jlF1aQ74ET0wKBau","type":"task-grep-repo-v1","parts":[{"type":"grepping-repo","pattern":"\"role\": \"user\"","path":"user_read_only_context/tool_content/reading-original-chat-history-v0-list-messages-2-oy7.txt"},{"type":"grep-file-results","numFileMatches":1}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060595883,"finishedAt":1789060595906,"lastPartSentAt":1789060595906,"taskNameActive":null,"id":"aY5WywHpoT96QJAw","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I want to look at the assistant message around lines 381-487 that raised the billing question and summarized what's done, then check 665-840 for the response reviewing the original chat, which likely contains a task summary.\n\n"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060596239,"finishedAt":1789060596589,"lastPartSentAt":1789060596588,"taskNameActive":"Reading task summary","taskNameComplete":"Read task summary","toolCallId":"toolu_014CWvgT9Ajf1XXNxWNHQZCW","agentTurnId":"turn_7ByuC6ZrS3uTxEmw","filePath":null,"id":"fk1wvn3L9ovNTEUv","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"user_read_only_context/tool_content/reading-original-chat-history-v0-list-messages-2-oy7.txt"},{"type":"reading-file","filePath":"user_read_only_context/tool_content/reading-original-chat-history-v0-list-messages-2-oy7.txt","offset":380,"limit":110}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060603748,"finishedAt":1789060603765,"lastPartSentAt":1789060603765,"taskNameActive":null,"id":"J5drCka31TiO16zB","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"Let me check around line 669-840 to find the summary of what was already completed for Har Ghar Tamasha—that should give me the overall project context, including the script details and whether additional clips were requested.\n\n"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060604894,"finishedAt":1789060605309,"lastPartSentAt":1789060605309,"taskNameActive":"Reading project background","taskNameComplete":"Read project background","toolCallId":"toolu_01KTsp9wKvYG9r3M9LAiQ5oJ","agentTurnId":"turn_2I4Yc0qrKvXfFNGu","filePath":null,"id":"G8l73EpCqUkfh4YY","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"user_read_only_context/tool_content/reading-original-chat-history-v0-list-messages-2-oy7.txt"},{"type":"reading-file","filePath":"user_read_only_context/tool_content/reading-original-chat-history-v0-list-messages-2-oy7.txt","offset":499,"limit":170}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060613078,"finishedAt":1789060656460,"lastPartSentAt":1789060656460,"taskNameActive":null,"id":"SNNRFq01E8staGRF","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":43,"thought":"$127"},{"type":"thinking-end","duration":43,"thought":"The working files from `/tmp/dub` didn't carry over in the chat duplication, so I'll rebuild the workspace and pick up where I left off—fitting the TTS lines to their timing windows, assembling the dialogue track, muxing, and delivering the final MP4.\n\n"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060665173,"finishedAt":1789060670289,"lastPartSentAt":1789060669567,"taskNameActive":"Setting up media workspace","taskNameComplete":"Set up media workspace","toolCallId":"toolu_01JCPrLaFSW1vp5ovBakXEFu","agentTurnId":"turn_tVFh98NEOmKdIDhm","filePath":null,"id":"PzSz9RPJcSV2q3NQ","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"$128","timeout":240000}},{"type":"subtask-log","data":{"logType":"created-terminal","terminalId":"cmd_ddd7cb3c7fd74c9d9291448c8f5c","taskId":"bash_cmd_ddd7cb3c7fd74c9d9291448c8f5c"},"id":"T4ZRNuenBoWn9lCP"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"\nbash: line 2: cd: /tmp/tools: No such file or directory\n"},"id":"O8fXfT990is8MAr1"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"r to suppress this warning, use --no-warn-script-location.\n--- clip\n-rw-r--r-- 1 vercel-sandbox vercel-sandbox 3261385 Sep 10 17:17 /tmp/dub/clip1.mp4\n--- edge-tts\nedge_tts 7.2.8\n\nbash: line 2:"},"id":"hwGRXfXwGtwygJt8"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"ters/libs\n--- fonts\n\nbash: line 2: cd: /tmp/tools: No such file or directory\nchmod: cannot access 'node_modules/ffmpeg-st\n\n...\n\n/ffprobe: No such file or directory\nbash: line 9: /tmp/tools/node_modules/ffmpeg-static/ffmpeg: No such file or directory\n"},"id":"7DSLlyLJ7OkuGiN0"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060679054,"finishedAt":1789060679417,"lastPartSentAt":1789060679417,"taskNameActive":null,"id":"h1QFODOScl0kdrVl","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I see the issue now — the whole command chain was backgrounded together with `&`, so the `cd /tmp/tools` ran before the mkdir had actually created that directory, causing the \"No such file\" error.\n\n"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060685005,"finishedAt":1789060692227,"lastPartSentAt":1789060692092,"taskNameActive":"Installing ffmpeg tools","taskNameComplete":"Installed ffmpeg tools","toolCallId":"toolu_01ECvcPsY9sq9xXD4DgB1RoC","agentTurnId":"turn_zYMvWtrkiM3mp7Vo","filePath":null,"id":"EKVRGN3dWdoF5pfb","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"mkdir -p /tmp/tools && cd /tmp/tools && npm install --silent ffmpeg-static ffprobe-static 2>&1 | tail -1; chmod +x node_modules/ffmpeg-static/ffmpeg node_modules/ffprobe-static/bin/linux/x64/ffprobe\nFF=/tmp/tools/node_modules/ffmpeg-static/ffmpeg; FP=/tmp/tools/node_modules/ffprobe-static/bin/linux/x64/ffprobe\necho \"--- probe\"; $FP -v error -show_entries format=duration:stream=codec_type,codec_name,width,height,r_frame_rate,sample_rate,channels -of default=noprint_wrappers=1 /tmp/dub/clip1.mp4\necho \"--- ffmpeg\"; $FF -hide_banner -version | head -1\necho \"--- filters\"; $FF -hide_banner -filters 2>/dev/null | grep -E \" (subtitles|ass|drawtext|atempo|silenceremove|loudnorm|adelay|amix|sine|anoisesrc|rubberband) \" | awk '{print $2}' | tr '\\n' ' '; echo\necho \"--- fonts\"; fc-list 2>/dev/null | grep -icE \"devanagari\" ; ls /usr/share/fonts 2>/dev/null | head; which fc-list","timeout":240000}},{"type":"subtask-log","data":{"logType":"created-terminal","terminalId":"cmd_9001c1fd017540338a9979ebf4ef","taskId":"bash_cmd_9001c1fd017540338a9979ebf4ef"},"id":"3Rjyy4I5cEW6nt9Z"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"--- probe\n--- filters\n"},"id":"QZnPEDkCAaxSS8pl"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"ac\ncodec_type=audio\nsample_rate=44100\nchannels=2\nr_frame_rate=0/0\ncodec_name=hevc\ncodec_type=video\nwidth=720\nheight=1280\nr_frame_rate=24/1\nduration=15.105000\n--- ffmpeg\nffmpeg version 7.0.2-static https://johnvansickle.com/ffmpeg/ Cop\n\n...\n\ns\n--- filters\nadelay amix atempo loudnorm rubberband silenceremove anoisesrc sine ass subtitles \n--- fonts\n0\n\nwhich: no fc-list in (/vercel/share/pnpm/bin:/vercel/share/pnpm:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin)\n"},"id":"9f2ASXCHQS5vJkdk"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060699843,"finishedAt":1789060706958,"lastPartSentAt":1789060706958,"taskNameActive":null,"id":"cEJoG4q03JAFbUh8","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":7,"thought":"This ffmpeg build includes rubberband for higher-quality time-stretching plus subtitle and loudness filters, but the system lacks fonts, so I need to fetch Noto Sans Devanagari and point libass to it via fontsdir for proper subtitle rendering.\n\nMy plan is to regenerate TTS with edge-tts using hi-IN-SwaraNeural, keeping the prosody but nudging the rate for tighter timing windows, then measure actual durations after silence trimming to decide the best fitting strategy. Since edge-tts emits WordBoundary events with precise offsets, I can use those to align subtitles accurately at the line level rather than needing karaoke-style timing.\n\nI'm writing a script to generate the TTS audio and save the corresponding word boundary data as JSON.\n\n"},{"type":"thinking-end","duration":7,"thought":"Ffmpeg 7 is set up with the needed filters, but no system fonts exist, so I'll fetch a Devanagari font for burned-in subtitles. Since the TTS audio files were lost with the old sandbox, I'll now regenerate the five TTS lines.\n\n"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060718501,"finishedAt":1789060719818,"lastPartSentAt":1789060719661,"taskNameActive":"Generating Hindi TTS lines","taskNameComplete":"Generated Hindi TTS lines","toolCallId":"toolu_01JdTbDhbU3QGxaTe19QAzvY","agentTurnId":"turn_6btRhKOqUIegQ8ZT","filePath":null,"id":"vzUh9Oq469qbwvBZ","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"$129","timeout":180000}},{"type":"subtask-log","data":{"logType":"created-terminal","terminalId":"cmd_4238f47524274d79a06fa740156b","taskId":"bash_cmd_4238f47524274d79a06fa740156b"},"id":"lqg5jFStZRJY98X9"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"total 264\ndrwxr-xr-x 2 vercel-sandbox vercel-sandbox 41 Sep 10 17:18 .\ndrwxr-xr-x 4 vercel-sandbox vercel-sandbox 47 Sep 10 17:18 ..\n-rw-r--r-- 1 vercel-sandbox vercel-sandbox 267749 Sep 10 17:18 NotoSansDevanagari-Bold.ttf\n\nTraceback (most r"},"id":"yhtajCReVsefDt9s"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"ecent call last):\n File \"/vercel/share/v0-project/gen_tts.py\", line 35, in \n asyncio.run(main())\n ~~~~~~~~\n\n...\n\nth open(out, \"wb\") as f:\n ~~~~^^^^^^^^^^^\nFileNotFoundError: [Errno 2] No such file or directory: 'tts/line1.mp3'\n"},"id":"PytBluzEOMkt93fP"}]}}],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_k7S8KlvPyGi","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"clip1_dialogue.json","baseName":"clip1_dialogue.json","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"gen_tts.py","baseName":"gen_tts.py","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]json:file=\"clip1_dialogue.json\" \nGENERATING\n[V0_FILE]py:file=\"gen_tts.py\" \nGENERATING","latestDeploymentInfo":"$122:1:1","lastDeployedAt":"2026-09-10T17:31:12.514Z","sourceVersionKey":"v_1_cqf62_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_k7S8KlvPyGi","meta":{"taskNameActive":"Applying changes to 2 files","taskNameComplete":"Applied changes to 2 files","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Applying changes to 2 files","taskNameComplete":"Applied changes to 2 files"},"id":"block-b_k7S8KlvPyGi"}],["AssistantMessageContentPart",{"part":{"createdAt":1789060726099,"finishedAt":1789060727058,"lastPartSentAt":1789060727058,"taskNameActive":null,"id":"TiO0JGZzZpWQCVG3","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"Same issue again — the `cd` got swept into the background command, so those files ended up in the wrong directory. I need to clean up the stray `gen_tts.py` and `clip1_dialogue.json` from the project directory and rerun without chaining `cd` inside the backgrounded command."}]}}],["p",{},["text",{},"The backgrounded "],["code",{},"cd"],["text",{}," chain wrote the scripts into the project directory by mistake. Let me move them to the workspace and rerun."]],["AssistantMessageContentPart",{"part":{"createdAt":1789060728612,"finishedAt":1789060730690,"lastPartSentAt":1789060730158,"taskNameActive":"Generating Hindi TTS lines","taskNameComplete":"Generated Hindi TTS lines","toolCallId":"toolu_01JCxLUU5EAJpDcAAZNWwQUg","agentTurnId":"turn_biGpY1LByEPLqjy0","filePath":null,"id":"5NFqrc1lmR42MOph","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"mv /vercel/share/v0-project/gen_tts.py /vercel/share/v0-project/clip1_dialogue.json /tmp/dub/ && ls /vercel/share/v0-project | grep -E \"gen_tts|clip1\" ; cd /tmp/dub && mkdir -p tts && python3 gen_tts.py","timeout":180000}},{"type":"subtask-log","data":{"logType":"created-terminal","terminalId":"cmd_0c24791283694445800bc0a888c7","taskId":"bash_cmd_0c24791283694445800bc0a888c7"},"id":"85cJYystSrR2Guo5"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"\nTraceback (most recent call last):\n File \"/tmp/dub/gen_tts.py\", line 35, in \n asyncio.run(main())\n ~~~~~~~~~~~^^^^^^^^\n File \"/home/vercel-sandbox/.local/share/uv/python/cpython-3.13.11-linux-x86_64-gnu/lib/python3.13/asyncio/run\n\n...\n\n3, in main\n print(f\"line{L['id']}: {dur(out):.2f}s speech-span={words[0]['start']:.2f}-{words[-1]['end']:.2f}s rate={rate} '{L['text']}'\")\n ~~~~~^^^\nIndexError: list index out of range\n"},"id":"w4SZC0eGAiZMygwE"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060736761,"finishedAt":1789060737459,"lastPartSentAt":1789060737459,"taskNameActive":null,"id":"XgE7icKYhVBH5SYz","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"I realize WordBoundary events need to be explicitly enabled in edge-tts 7.x by passing a boundary parameter to Communicate, so I need to check the exact parameter name and valid values for that.\n\n"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060739295,"finishedAt":1789060745452,"lastPartSentAt":1789060745300,"taskNameActive":"Fixing word boundary events","taskNameComplete":"Fixed word boundary events","toolCallId":"toolu_01Se8yxgwyb4nv4QTG2QvoJc","agentTurnId":"turn_R2w7k2NeZTjKMkZ7","filePath":null,"id":"VS41VhuKLC3TIHSm","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /tmp/dub && python3 -c \"import inspect,edge_tts; print(inspect.signature(edge_tts.Communicate.__init__))\" && sed -i 's/edge_tts.Communicate(L\\[\"text\"\\], VOICE, rate=rate, pitch=pitch)/edge_tts.Communicate(L[\"text\"], VOICE, rate=rate, pitch=pitch, boundary=\"WordBoundary\")/' gen_tts.py && python3 gen_tts.py","timeout":180000}},{"type":"subtask-log","data":{"logType":"created-terminal","terminalId":"cmd_1aaeb1475744415881b0c0d3d7d4","taskId":"bash_cmd_1aaeb1475744415881b0c0d3d7d4"},"id":"pTlrNJ7GZh54pTow"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"(self, text: str, voice: str = 'en-US-EmmaMultilingualNeural', *, rate: str = '+0%', volume: str = '+0%', pitch: str = '+0Hz', boundary: Literal['WordBoundary', 'SentenceBoundary'] = 'SentenceBoundary', connector: Optional[aiohttp.connector.BaseConne"},"id":"QYC4vEUbmTR2PHTp"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"ctor] = None, proxy: Optional[str] = None, connect_timeout: Optional[int] = 10, receive_timeout: Optional[int] = 60)\nline\n\n...\n\nमलाल जी दस मिनट में आ रहे हैं… भूखे!'\nline5: 4.01s speech-span=0.10-3.23s rate=+12% 'अब आटा फेंकूँ… या मैं भाग जाऊँ?!'\n"},"id":"6lolHSYBqDCL6mCQ"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060755714,"finishedAt":1789060768572,"lastPartSentAt":1789060768572,"taskNameActive":null,"id":"Usv7i6l5U1dD7E5H","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":12,"thought":"$12a"},{"type":"thinking-end","duration":13,"thought":"All five lines are regenerated with word-level timestamps—voiced speech runs about 15.1s against 14s of dialogue windows, so I'll need to compress pauses and time-stretch slightly. First, I'll check the footage for when Kamla's mouth is visible so the dub aligns properly."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060770743,"finishedAt":1789060772862,"lastPartSentAt":1789060772443,"taskNameActive":"Extracting video contact sheet","taskNameComplete":"Extracted video contact sheet","toolCallId":"toolu_01CS2vufnQDS2nMuS5WmxTCG","agentTurnId":"turn_o8xHj4FQUmO5Kwor","filePath":null,"id":"STImk8bIhmvOKpen","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /tmp/dub && FF=/tmp/tools/node_modules/ffmpeg-static/ffmpeg && $FF -v error -y -i clip1.mp4 -vf \"fps=2,scale=180:-1,drawtext=fontfile=fonts/NotoSansDevanagari-Bold.ttf:text='%{pts\\:hms}':x=4:y=4:fontsize=18:fontcolor=white:box=1:boxcolor=black@0.6,tile=6x5\" -frames:v 1 sheet.png && ls -la sheet.png","timeout":120000}},{"type":"subtask-log","data":{"logType":"created-terminal","terminalId":"cmd_0a764cd6a4fd4151b07088c57ab5","taskId":"bash_cmd_0a764cd6a4fd4151b07088c57ab5"},"id":"SUVTRzzHFnGJxqcx"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"\n[AVFilterGraph @ 0x2d5a1580] No such filter: 'drawtext'\n[vost#0:0/png @ 0x2d5aa9c0] Error initializing a simple filtergraph\nError opening output file sheet.png.\nError opening output files: Filter not found\n"},"id":"Xs7OaTLZEhk5veqf"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060781058,"finishedAt":1789060783296,"lastPartSentAt":1789060783115,"taskNameActive":"Extracting video contact sheet","taskNameComplete":"Extracted video contact sheet","toolCallId":"toolu_01HApWBwdSRXtX9NEgwvSnwC","agentTurnId":"turn_ROImzNxBckBOwjkD","filePath":null,"id":"8DuoySvvfPsfZQ1y","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /tmp/dub && FF=/tmp/tools/node_modules/ffmpeg-static/ffmpeg && $FF -v error -y -i clip1.mp4 -vf \"fps=2,scale=200:-1,tile=6x5:padding=4:margin=4:color=white\" -frames:v 1 sheet.png && ls -la sheet.png","timeout":120000}},{"type":"subtask-log","data":{"logType":"created-terminal","terminalId":"cmd_5a7477f2beee4a13b4d1caf2bf94","taskId":"bash_cmd_5a7477f2beee4a13b4d1caf2bf94"},"id":"UK0SswjHfdBVRCcI"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"-rw-r--r-- 1 vercel-sandbox vercel-sandbox 4199626 Sep 10 17:19 sheet.png\n"},"id":"tUlRtMSPxg7cF00Z"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060790049,"finishedAt":1789060792055,"lastPartSentAt":1789060792054,"taskNameActive":"Viewing contact sheet","taskNameComplete":"Viewed contact sheet","toolCallId":"toolu_012ruTXzHHdsSx9J8LrkMdj2","agentTurnId":"turn_xwXarRGSp8clkGDF","filePath":null,"id":"MGEOwyeG5Hpoqxtg","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/tmp/dub/sheet.png"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060801329,"finishedAt":1789060857452,"lastPartSentAt":1789060857452,"taskNameActive":null,"id":"jVPoMvCZgSlFif3a","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":56,"thought":"$12b"},{"type":"thinking-end","duration":56,"thought":"Confirmed the footage matches the planned beats—hands/dough through 1.8s, face whip-in at 2s, flustered mid-shot until 11.5s, then close-up freezing near 14.5s. Now checking word timings to precisely trim the pauses and split subtitles.\n\n"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060858292,"finishedAt":1789060859944,"lastPartSentAt":1789060859702,"taskNameActive":"Inspecting word timings","taskNameComplete":"Inspected word timings","toolCallId":"toolu_01JR1fztSM3XbQJgQfNqCZQ8","agentTurnId":"turn_psoGUCuVnRt7ILEs","filePath":null,"id":"zbg8U2pQge6Es8lq","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /tmp/dub && python3 - <<'EOF'\nimport json\nfor i in range(1,6):\n w=json.load(open(f\"tts/line{i}.words.json\"))\n print(f\"line{i}:\")\n prev=None\n for x in w:\n gap = f\" gap={x['start']-prev:.2f}\" if prev is not None else \"\"\n print(f\" {x['start']:5.2f}-{x['end']:5.2f} {x['text']}{gap}\")\n prev=x['end']\nEOF"}},{"type":"subtask-log","data":{"logType":"created-terminal","terminalId":"cmd_5800c84d74fa4e64a52c9484e77d","taskId":"bash_cmd_5800c84d74fa4e64a52c9484e77d"},"id":"10nAOvPMl8yjNdmp"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"line1:\n 0.10- 0.45 हाय\n 0.46- 0.91 राम gap=0.01\nline2:\n 0.10- 0.44 ये\n 0.45- 0.68 आटा gap=0.01\n 0.69- 0.92 है gap=0.01\n 1.63- 1.91 या gap=0.71\n 1.93- 2.35 गोंद gap=0.01\n 3.04- 3.37 हाथ gap=0.70\n 3.38- 3.49 ही"},"id":"TfxMZNIyV41OagZI"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":" gap=0.01\n 3.50- 3.71 नहीं gap=0.01\n 3.72- 3.94 छूट gap=0.01\n 3.95- 4.29 रहा gap=0.01\nline3:\n 0.10- 0.\n\n...\n\n1\n 2.05- 2.32 या gap=0.76\n 2.33- 2.46 मैं gap=0.01\n 2.47- 2.77 भाग gap=0.01\n 2.78- 3.23 जाऊँ gap=0.01\n"},"id":"PrUmvWwmrmtBFa8Y"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060866948,"finishedAt":1789060923751,"lastPartSentAt":1789060923751,"taskNameActive":null,"id":"MMmmHp8kBTzX959p","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":57,"thought":"$12c"},{"type":"thinking-end","duration":57,"thought":"Compressing pauses to ~0.3s fits speech into ~12.1s with only a ≤1.09x stretch needed. Now building the assembly pipeline: pause compression, per-line fit, cut-aligned placement, light SFX (whip-cut impact, heartbeat build), loudness normalization, and Devanagari subtitles.\n\n"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060966039,"finishedAt":1789060970091,"lastPartSentAt":1789060969917,"taskNameActive":"Writing assembly pipeline","taskNameComplete":"Wrote assembly pipeline","toolCallId":"toolu_0124Xi84ghUYNzupxxU5tMrX","agentTurnId":"turn_YAquiK7JOFnqWHc2","filePath":null,"id":"Y7L6dOPZZb9EOxNe","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"$12d","timeout":300000}},{"type":"subtask-log","data":{"logType":"created-terminal","terminalId":"cmd_7ac33bc63acf4fdcb85ee8f33803","taskId":"bash_cmd_7ac33bc63acf4fdcb85ee8f33803"},"id":"RgAGIfnhuzdrLJP1"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"line1: fitted 0.91s tempo=1.200 -> 1.20-2.11\nline2: fitted 3.25s tempo=1.128 -> 2.35-5.60\nline3: fitted 2.85s tempo=1.123 -> 5.80-8.65\nline4: fitted 2.90s tempo=1.186 -> 8.85-11.75\nline5: fitted 2.46s tempo=1.200 -> 12.05-14.51\nmix measured: {'input_"},"id":"VG1MfMLvgbyfPGTL"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"i': '-22.59', 'input_tp': '-5.44', 'input_lra': '0.70'}\nwrote dialogue_mix.wav, subs.ass\n"},"id":"nuyNjtoILrAM0Nfp"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789060977880,"finishedAt":1789061011013,"lastPartSentAt":1789061011013,"taskNameActive":null,"id":"AE89mFkgF9WoejFx","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":32,"thought":"$12e"},{"type":"thinking-end","duration":33,"thought":"Lines 1, 4, and 5 exceed the 1.2x stretch cap, which would over-compress the speech. I'll instead speed up the native TTS rate slightly and trim the pause padding for a cleaner result."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789061015513,"finishedAt":1789061023264,"lastPartSentAt":1789061023094,"taskNameActive":"Retuning speech rate and fit","taskNameComplete":"Retuned speech rate and fit","toolCallId":"toolu_013JPeWqXH6H4eZTuipEXaXr","agentTurnId":"turn_QqUpuc1L73Z5tSGO","filePath":null,"id":"grK0gu6KygGogSPm","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /tmp/dub && python3 - <<'EOF'\nimport re\ns=open(\"gen_tts.py\").read()\ns=s.replace('1: (\"+10%\", \"+25Hz\")','1: (\"+12%\", \"+25Hz\")').replace('2: (\"+22%\", \"+15Hz\")','2: (\"+30%\", \"+15Hz\")').replace('3: (\"+15%\", \"+8Hz\")','3: (\"+24%\", \"+8Hz\")').replace('4: (\"+18%\", \"+5Hz\")','4: (\"+28%\", \"+5Hz\")').replace('5: (\"+12%\", \"+20Hz\")','5: (\"+24%\", \"+20Hz\")')\nopen(\"gen_tts.py\",\"w\").write(s)\na=open(\"assemble.py\").read()\na=a.replace(\"WINDOWS = {1: (1.20, 2.10), 2: (2.35, 5.60), 3: (5.80, 8.65), 4: (8.85, 11.75), 5: (12.05, 14.50)}\",\n \"WINDOWS = {1: (1.10, 2.20), 2: (2.35, 5.65), 3: (5.85, 8.70), 4: (8.90, 11.85), 5: (12.05, 14.60)}\")\na=a.replace(\"PRE, POST, LAST_POST, SIL = 0.06, 0.12, 0.22, 0.12\",\"PRE, POST, LAST_POST, SIL = 0.05, 0.10, 0.22, 0.10\")\nopen(\"assemble.py\",\"w\").write(a)\nEOF\npython3 gen_tts.py && echo \"---\" && python3 assemble.py","timeout":300000}},{"type":"subtask-log","data":{"logType":"created-terminal","terminalId":"cmd_ac6c45c117e14d80868a4de008d7","taskId":"bash_cmd_ac6c45c117e14d80868a4de008d7"},"id":"VQA2uKAOTRB4bl65"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"line1: 1.66s speech-span=0.10-0.89s rate=+12% 'हाय राम!!'\nline2: 4.70s speech-span=0.10-4.03s rate=+30% 'ये आटा है… या गोंद?! हाथ ही नहीं छूट रहा!'\nline3: 3.91s speech-span=0.10-3.22s rate=+24% 'बस एक कटोरी पानी ज़्यादा… बस एक!'\nline4: 4.08s"},"id":"PXKq6IH6by7kRkG5"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":" speech-span=0.10-3.41s rate=+28% 'और रामलाल जी दस मिनट में आ रहे हैं… भूखे!'\nline5: 3.62s speech-span=0.10-2.92s ra\n\n...\n\n2.06-14.61\nmix measured: {'input_i': '-21.58', 'input_tp': '-4.58', 'input_lra': '0.90'}\nwrote dialogue_mix.wav, subs.ass\n"},"id":"LcWIdicu7RTNdWo2"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789061030103,"finishedAt":1789061039137,"lastPartSentAt":1789061039137,"taskNameActive":null,"id":"QfHg1pXowK1dZIWA","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":8,"thought":"The tempos check out at 1.00–1.07, natural pacing. Each line placement lines up well: the scream hits the 2.0 cut on L1, and L4's \"भूखे!\" lands right with the hand-on-forehead gesture around 11.4–11.86. Everything checks out, so I'm moving to render the final video with H.264 encoding and burned-in subtitles.\n\nSince I can't actually listen to the audio, I need another way to verify the mix—Whisper via AI Gateway is billing-locked and a local STT would be too heavy, so instead I'll check silence detection and energy per segment against the subtitle placement, using tools like ebur128 or astats to confirm loudness and levels align with where the lines should sit, plus a visual check of the subtitles themselves. I'm setting up the ffmpeg render command to combine the video and dialogue mix, burn in the subtitles from the .ass file, encode with libx264 at high quality, and output audio as AAC—keeping in mind the source is HEVC, which ffmpeg-static already handled fine for the contact sheet."},{"type":"thinking-end","duration":9,"thought":"Tempos are now natural (1.00–1.07x) and every line syncs with its visual beat, including the scream on the whip-cut and \"भूखे!\" on the hand-to-forehead gesture. Now rendering the final video in H.264 (for browser compatibility) as both subtitled and clean versions."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789061044363,"finishedAt":1789061079159,"lastPartSentAt":1789061078942,"taskNameActive":"Rendering final videos","taskNameComplete":"Rendered final videos","toolCallId":"toolu_01XQMUbsX85EUq8HHhs8fh4A","agentTurnId":"turn_U2UvzujCk3P95sPU","filePath":null,"id":"6QpnwFooYXSYdMaB","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"$12f","timeout":400000}},{"type":"subtask-log","data":{"logType":"created-terminal","terminalId":"cmd_dae9eb705fc94a31957724226375","taskId":"bash_cmd_dae9eb705fc94a31957724226375"},"id":"X6XbArC3P9lUiVbv"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"\nFontconfig error: Cannot load default config file\nFontconfig error: Cannot load default config file\n[Parsed_subtitles_0 @ 0x2d8b2cc0] Failed to load fonctconfig fonts!\nFontconfig error: Cannot load default config file\nFontconfig error: Cannot load d"},"id":"XpbzhAOgXDWfZRZR"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"codec_name=aac codec_type=audio sample_rate=48000 channels=2 r_frame_rate=0/0 duration=15.042000 \n== final_clean.mp4\ncode\n\n...\n\nFontconfig error: Cannot load default config file\n[Parsed_subtitles_0 @ 0x7f0844001dc0] Failed to load fonctconfig fonts!\n"},"id":"f4vWCnHXwIx5T5FZ"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789061086603,"finishedAt":1789061093507,"lastPartSentAt":1789061093507,"taskNameActive":null,"id":"u4kySTUDcv6wUlWE","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":6,"thought":"Both output files being identical in size is suspicious—it suggests the subtitle filter didn't actually render anything, likely due to a fontconfig failure where libass couldn't load fonts. I should extract frames at subtitle timestamps to verify, and if fonts really aren't loading, I'll need to create a minimal fontconfig pointing to the dub fonts directory and set the FONTCONFIG_FILE environment variable accordingly.\n\nChecking the silence detection results, the gaps between lines and the short internal pauses all line up with expected dramatic pacing, and loudness measured at -14.9 LUFS with -3.1 dBFS peak looks fine. Now I'll go ahead and write the fonts.conf file and set FONTCONFIG_FILE to fix the rendering issue."},{"type":"thinking-end","duration":7,"thought":"Audio checks out, but the two files are byte-identical—libass failed to load the font due to missing fontconfig. I'll set up a minimal fontconfig pointing to the downloaded font and re-render the subtitled version."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789061099582,"finishedAt":1789061119586,"lastPartSentAt":1789061119389,"taskNameActive":"Re-rendering with subtitles","taskNameComplete":"Re-rendered with subtitles","toolCallId":"toolu_016hToyBjfkAgDgGoadG8N6L","agentTurnId":"turn_rV03Oj8uSraHjuqx","filePath":null,"id":"opX76r8rGx88CxVh","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /tmp/dub && FF=/tmp/tools/node_modules/ffmpeg-static/ffmpeg && cat > fonts.conf <<'EOF'\n\n\n\n /tmp/dub/fonts\n /tmp/dub/fc-cache\n\nEOF\nexport FONTCONFIG_FILE=/tmp/dub/fonts.conf\n$FF -v error -y -i clip1.mp4 -i dialogue_mix.wav -map 0:v:0 -map 1:a:0 -vf \"subtitles=subs.ass:fontsdir=/tmp/dub/fonts\" -c:v libx264 -preset slow -crf 18 -pix_fmt yuv420p -r 24 -c:a aac -b:a 192k -ar 48000 -movflags +faststart -shortest final_subs.mp4 2>&1 | grep -v \"^$\" | head -5\nls -la final_subs.mp4 final_clean.mp4\n# Frames at each subtitle line for visual verification\n$FF -v error -y -i final_subs.mp4 -vf \"select='eq(n\\,40)+eq(n\\,96)+eq(n\\,168)+eq(n\\,252)+eq(n\\,318)',scale=288:-1,tile=5x1:padding=4:color=white\" -vsync vfr -frames:v 1 subs_check.png && ls -la subs_check.png","timeout":300000}},{"type":"subtask-log","data":{"logType":"created-terminal","terminalId":"cmd_f7b315ff5ff149ffad5974906055","taskId":"bash_cmd_f7b315ff5ff149ffad5974906055"},"id":"rIXMWZzKVecc0tuH"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"[Parsed_subtitles_0 @ 0xc76ae40] Failed to load fonctconfig fonts!\n[Parsed_subtitles_0 @ 0x7f521c001dc0] Failed to load fonctconfig fonts!\n-rw-r--r-- 1 vercel-sandbox vercel-sandbox 7055674 Sep 10 17:24 final_clean.mp4\n-rw-r--r-- 1 vercel-sandbox ver"},"id":"6Krr5IQZpZvvnBhK"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"cel-sandbox 7055674 Sep 10 17:25 final_subs.mp4\n-rw-r--r-- 1 vercel-sandbox vercel-sandbox 1422572 Sep 10 17:25 subs_check.png\n"},"id":"FVLLGJnKjWIWKvXg"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789061126632,"finishedAt":1789061134271,"lastPartSentAt":1789061134271,"taskNameActive":null,"id":"WyaTXtw3PPYmxNMv","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":8,"thought":"Still getting the fontconfig error with no change in output size, so the static build's libass seems to ignore my FONTCONFIG_FILE setting. I'm wondering if I can disable fontconfig entirely within libass rather than trying to configure it properly.\n\nActually, libass typically falls back to fontsdir fonts regardless of fontconfig failure, loading them into an in-memory provider — so the family name matching for \"Noto Sans Devanagari\" should still work in theory. But the identical byte size between the two output files is suspicious; either the subtitle filter isn't rendering anything, or something else is off, so I want to pull up the frame check image to actually look at what's happening."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789061134298,"finishedAt":1789061135122,"lastPartSentAt":1789061135121,"taskNameActive":"Checking subtitle frames","taskNameComplete":"Checked subtitle frames","toolCallId":"toolu_01MDuV6kiwpUWi7HSKwq3YkB","agentTurnId":"turn_6bIzwRbtZBef3Ram","filePath":null,"id":"8c3lFueGtCZIYuTz","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/tmp/dub/subs_check.png"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789061144910,"finishedAt":1789061152744,"lastPartSentAt":1789061152744,"taskNameActive":null,"id":"kd4tVySgFOuH2nYY","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":8,"thought":"No subtitles appear even at frame 40 where they clearly should, which suggests libass rendered nothing — likely a font-loading failure — and the identical file sizes hint the filter produced no visible change at all, meaning every frame came out identical.\n\nI want to test with plain Latin-text ASS to see if anything renders, and check whether the `subtitles` vs `ass` filter behaves differently. I'm also wondering if the static build's libass lacks fontconfig, though embedded fonts loaded via the fonts directory should still work through libass's own font selector regardless of fontconfig. To debug further, I'll render a single frame at the known subtitle timestamp with verbose logging to catch any libass messages, trying both filters plus a Latin-text sanity check.\n\n"}]}}],["p",{},["text",{},"No subtitles rendered (and frame timing itself looks right: 1.67s dough, 4s/7s/10.5s mid-shots, 13.25s close-up). Let me debug libass directly with verbose logs on a single frame."]],["AssistantMessageContentPart",{"part":{"createdAt":1789061163497,"finishedAt":1789061165712,"lastPartSentAt":1789061165536,"taskNameActive":"Debugging subtitle rendering","taskNameComplete":"Debugged subtitle rendering","toolCallId":"toolu_01GztKPskdMCjTFpwhzN7yuJ","agentTurnId":"turn_QxaTwoAC8wMt5lTM","filePath":null,"id":"oPh9UitrM75gu36t","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"$130","timeout":120000}},{"type":"subtask-log","data":{"logType":"created-terminal","terminalId":"cmd_83a8e2b8cb9c490bb6164bf7dfeb","taskId":"bash_cmd_83a8e2b8cb9c490bb6164bf7dfeb"},"id":"DYW8Peqw2OUv9evd"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"== libass config\n --enable-fontconfig\n --enable-libfribidi\n --enable-libass\n --enable-libfreetype\n== verbose single frame (ass filter)\n configuration: --enable-gpl --enable-version3 --enable-static --disable-debug --disable-ffplay --disa"},"id":"sbGTBRefWk0DfSrC"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"ble-indev=sndio --disable-outdev=sndio --cc=gcc --enable-fontconfig --enable-frei0r --enable-gnutls --enable-gmp --enable\n\n...\n\nso=unpack('>HH',d[off+2:off+6])\n ~~~~~~^^^^^^^^^^^^^^^^^^^^^^\nstruct.error: unpack requires a buffer of 4 bytes\n"},"id":"9bUMWV7YimbhdEyP"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789061173697,"finishedAt":1789061175653,"lastPartSentAt":1789061175653,"taskNameActive":null,"id":"35wvaPNKmH3701FO","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":2,"thought":"I'm suspecting the FreeType 2.9.1 version is too old to parse this font file, possibly because it's actually a Git LFS pointer file rather than the real TTF, which would explain why it can't be opened as memory font.\n\n"}]}}],["p",{},["text",{},"The real error is "],["code",{},"Error opening memory font"],["text",{}," — the bundled FreeType 2.9.1 can't open this font file. Let me check what we actually downloaded."]],["AssistantMessageContentPart",{"part":{"createdAt":1789061179720,"finishedAt":1789061181717,"lastPartSentAt":1789061181539,"taskNameActive":"Inspecting font file","taskNameComplete":"Inspected font file","toolCallId":"toolu_01JCoGmAHPyFZtgtBuWsbsi8","agentTurnId":"turn_OmYlX8TQmhKFPjPq","filePath":null,"id":"w6PwXjELXrFhv782","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /tmp/dub/fonts && head -c 64 NotoSansDevanagari-Bold.ttf | xxd | head -4; file NotoSansDevanagari-Bold.ttf 2>/dev/null; echo; echo \"== fetching alternates\"; \ncurl -sL -o NotoSansDevanagari-Bold-gf.ttf \"https://github.com/google/fonts/raw/main/ofl/notosansdevanagari/NotoSansDevanagari%5Bwdth%2Cwght%5D.ttf\" ; head -c 4 NotoSansDevanagari-Bold-gf.ttf | xxd; ls -la\ncurl -sL -o Poppins-Bold.ttf \"https://github.com/google/fonts/raw/main/ofl/poppins/Poppins-Bold.ttf\"; head -c 4 Poppins-Bold.ttf | xxd; ls -la Poppins-Bold.ttf","timeout":120000}},{"type":"subtask-log","data":{"logType":"created-terminal","terminalId":"cmd_f88c4fd80cbe47a49becbb72aad7","taskId":"bash_cmd_f88c4fd80cbe47a49becbb72aad7"},"id":"ZaVunJMDbdmslGuw"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"00000000: 0a0a 0a0a 0a0a 0a0a 3c21 444f 4354 5950 ......... 00:00:02,300\nहाय राम!!\n\n2\n00:00:02,280 --> 00:00:05,800\nये आटा है… या गोंद?!\nहाथ ही नहीं छूट रहा!\n\n3\n00:0"},"id":"u0IkTjRMAb1iYA2g"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"0:05,780 --> 00:00:08,850\nबस एक कटोरी पानी ज़्यादा…\nबस एक!\n\n4\n00:00:08,830 --> 00:00:12,000\nऔर रामलाल जी दस मिनट में\nआ रह\n\n...\n\nbox 554 Sep 10 17:29 kamla-clip1-hindi.srt\n-rw-r--r-- 1 vercel-sandbox vercel-sandbox 86338 Sep 10 17:29 poster.jpg\n"},"id":"GbUH7PzA9cy931My"}]}}],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_bbNw97iRVdG","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"public/video/kamla-clip1-hindi-dub-clean.mp4","baseName":"kamla-clip1-hindi-dub-clean.mp4","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"public/video/kamla-clip1-hindi-dub.mp4","baseName":"kamla-clip1-hindi-dub.mp4","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"public/video/kamla-clip1-hindi.srt","baseName":"kamla-clip1-hindi.srt","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"public/video/poster.jpg","baseName":"poster.jpg","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]mp4:file=\"public/video/kamla-clip1-hindi-dub-clean.mp4\" \nGENERATING\n[V0_FILE]mp4:file=\"public/video/kamla-clip1-hindi-dub.mp4\" \nGENERATING\n[V0_FILE]srt:file=\"public/video/kamla-clip1-hindi.srt\" \nGENERATING\n[V0_FILE]jpg:file=\"public/video/poster.jpg\" \nGENERATING","latestDeploymentInfo":"$122:2:1","lastDeployedAt":"2026-09-10T17:31:12.514Z","sourceVersionKey":"v_1_iqiwy_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_bbNw97iRVdG","meta":{"taskNameActive":"Applying changes to 4 files","taskNameComplete":"Applied changes to 4 files","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Applying changes to 4 files","taskNameComplete":"Applied changes to 4 files"},"id":"block-b_bbNw97iRVdG"}],["AssistantMessageContentPart",{"part":{"createdAt":1789061354395,"finishedAt":1789061374597,"lastPartSentAt":1789061374597,"taskNameActive":null,"id":"kAvfapgAcVMSzbQ4","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":19,"thought":"$134"},{"type":"thinking-end","duration":20,"thought":"Deliverables are saved in public/video/. Next I'll build the delivery page with a phone-framed player, a subtitled/clean toggle, downloads, and timed dialogue, plus a WebVTT track for native captions on the clean version."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1789061375234,"finishedAt":1789061377132,"lastPartSentAt":1789061376872,"taskNameActive":"Creating WebVTT captions","taskNameComplete":"Created WebVTT captions","toolCallId":"toolu_014Y6ivArGT5uxpiAzwGEF4Z","agentTurnId":"turn_atW4eZTL5LqXnZRk","filePath":null,"id":"qqg8921u1BFI4XBr","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/public/video && { printf 'WEBVTT\\n\\n'; sed -E 's/([0-9]{2}:[0-9]{2}:[0-9]{2}),([0-9]{3})/\\1.\\2/g' kamla-clip1-hindi.srt; } > kamla-clip1-hindi.vtt && head -8 kamla-clip1-hindi.vtt && ls 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