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url="https://hebbkx1anhila5yf.public.blob.vercel-storage.com/3%20Woman_preparing_Indian_recipe_video_202609052357-fIhpYpxKlCKxA8qrsR6kJrpTXQQoge.mp4" [V0_FILE]mp4:file="/video-work/sources/04.mp4" url="https://hebbkx1anhila5yf.public.blob.vercel-storage.com/4%20Woman_making_orange_coconut_sweet_202609052359-Qb3Y1xeCVXdD9vZ31WxOACW1umjIzt.mp4" [V0_FILE]mp4:file="/video-work/sources/05.mp4" url="https://hebbkx1anhila5yf.public.blob.vercel-storage.com/5%20Woman_decorating_coconut_laddoo_1080p_202609060001-ZUvxfzXMGC4sl3q0ruy2fhVFWb0r1q.mp4" [V0_FILE]mp4:file="/video-work/sources/06.mp4" url="https://hebbkx1anhila5yf.public.blob.vercel-storage.com/6%20Woman_placing_sweets_in_refriger%E2%80%A6_202609060003-GerQvvq3pvkFFv2FqJU4P6Ge5jtPWV.mp4" [V0_FILE]mp4:file="/video-work/sources/07.mp4" url="https://hebbkx1anhila5yf.public.blob.vercel-storage.com/7%20Woman_breaking_coconut_laddoo_1080p_202609060004-QnwuSpCjAomdTczeeTS73tk3bpUjCg.mp4" [V0_FILE]mp4:file="/video-work/sources/08.mp4" url="https://hebbkx1anhila5yf.public.blob.vercel-storage.com/8%20Saas_and_daughter-in-law_in_kitchen_202609060013-59TCKUivTEcksOB8xbNO3qS9eIkgdx.mp4" 3c:oa,128:T4df0,3c:o4df0,[V0_FILE]python:file="/video-work/edit_plan.py" from pathlib import Path ROOT = Path(__file__).resolve().parent FPS = 24 WIDTH, HEIGHT = 1080, 1920 SEGMENTS = [ {"clip": 1, "start": 3 / FPS, "end": 137 / FPS, "speed": 1}, {"clip": 2, "start": 70 / FPS, "end": 108 / FPS, "speed": 1}, {"clip": 2, "start": 108 / FPS, "end": 144 / FPS, "speed": 0.5, "ambient": True}, {"clip": 3, "start": 0, "end": 176 / FPS, "speed": 1}, {"clip": 4, "start": 0, "end": 141 / FPS, "speed": 1}, {"clip": 5, "start": 0, "end": 92 / FPS, "speed": 1}, {"clip": 6, "start": 0, "end": 88 / FPS, "speed": 1}, {"clip": 7, "start": 0, "end": 129 / FPS, "speed": 1}, {"clip": 8, "start": 0, "end": 122 / FPS, "speed": 1}, ] DURATION = 0.0 STARTS = {} for segment in SEGMENTS: segment["at"] = DURATION segment["duration"] = (segment["end"] - segment["start"]) / segment["speed"] STARTS.setdefault(segment["clip"], DURATION) DURATION += segment["duration"] CAPTIONS = { 1: [ (1.05, 2.20, "बहू!", "Emphasis"), (2.28, 3.32, "इस संतरे में", "Caption"), (3.32, 4.65, "नारियल कहाँ से आया?", "Caption"), ], 2: [ (0.18, 1.75, "नारियल के लड्डू हैं!", "Emphasis"), ], 3: [ (0.00, 1.18, "एक चौथाई मिश्रण", "Caption"), (1.18, 2.24, "सफेद रखो।", "Emphasis"), (2.53, 4.27, "बाकी में एक बूँद", "Caption"), (4.27, 5.68, "खाने वाला नारंगी रंग", "Caption"), (5.68, 6.89, "अच्छी तरह मिलाओ।", "Caption"), ], 4: [ (0.00, 1.14, "सफेद वाली गोली", "Caption"), (1.14, 2.08, "अंदर रखो।", "Caption"), (2.08, 3.57, "और नारंगी मिश्रण से", "Caption"), (3.57, 5.10, "ढककर गोल कर लो।", "Caption"), ], 5: [ (0.00, 1.37, "हल्के निशान बनाओ,", "Caption"), (1.40, 2.99, "और ऊपर पुदीना लगा दो।", "Caption"), ], 6: [ (0.00, 1.92, "अब पंद्रह मिनट\\Nफ्रिज में रखो।", "Caption"), ], 7: [ (1.25, 2.51, "संतरे जैसे...", "Caption"), (2.51, 3.67, "नारियल के लड्डू", "Caption"), (3.67, 5.23, "तैयार!", "Emphasis"), ], 8: [ (0.00, 0.71, "बहू,", "Caption"), (0.71, 2.42, "रेसिपी सबको देना...", "Caption"), (2.42, 2.85, "लेकिन...", "Caption"), (2.85, 3.92, "ये प्लेट मेरी!", "Punchline"), ], } HEADERS = [ (0.0, 1.32, "संतरे में\\Nनारियल?!", "Hook", 510, 195), (STARTS[3] + 0.1, STARTS[3] + 2.3, "¼ हिस्सा सफेद रखें", "Header", 510, 190), (STARTS[3] + 2.53, STARTS[3] + 7.1, "फूड-ग्रेड रंग • लेबल के अनुसार", "SmallHeader", 510, 190), (STARTS[4] + 0.1, STARTS[4] + 5.6, "सफेद अंदर • नारंगी बाहर", "Header", 510, 190), (STARTS[5] + 0.06, STARTS[5] + 1.5, "टूथपिक से हल्के निशान", "Header", 510, 190), (STARTS[5] + 1.5, STARTS[5] + 3.75, "ऊपर धुला पुदीना लगाएँ", "Header", 510, 190), (STARTS[6] + 0.05, STARTS[6] + 3.55, "15 मिनट\\Nफ्रिज में रखें", "Time", 510, 185), (STARTS[7], STARTS[7] + 1.55, "15 मिनट बाद...", "Header", 510, 190), (STARTS[7] + 1.6, STARTS[7] + 5.28, "संतरा नहीं, नारियल लड्डू!", "Header", 510, 190), (STARTS[8] + 3.94, DURATION - 0.03, "रेसिपी सेव कर लो!", "Header", 510, 190), ] [V0_FILE]python:file="/video-work/finish_video.py" import json import math import re import subprocess from pathlib import Path import av import imageio_ffmpeg import numpy as np from PIL import Image, ImageDraw, ImageFont from scipy import signal from scipy.io import wavfile from edit_plan import CAPTIONS, DURATION, FPS, HEADERS, HEIGHT, ROOT, SEGMENTS, STARTS, WIDTH FFMPEG = imageio_ffmpeg.get_ffmpeg_exe() WORK = ROOT / "render" WORK.mkdir(exist_ok=True) OUTPUT = ROOT / "final" OUTPUT.mkdir(exist_ok=True) FINAL = OUTPUT / "santara-nahi-nariyal-laddoo-short.mp4" FONT = "/usr/share/fonts/google-noto/NotoSansDevanagari-Bold.ttf" RATE = 48000 def run(args, **kwargs): return subprocess.run([FFMPEG, "-hide_banner", "-loglevel", "error", "-y", *args], check=True, **kwargs) def make_assets(): source = Image.open(ROOT / "assets" / "coconut-reaction.png").convert("RGB") rgb = np.asarray(source).astype(np.float32) magenta = (rgb[:, :, 0] + rgb[:, :, 2]) / 2 - rgb[:, :, 1] alpha = np.clip((125 - magenta) / 45, 0, 1) rgba = np.concatenate([rgb, alpha[:, :, None] * 255], axis=2).astype(np.uint8) partially_keyed = (alpha > 0) & (alpha < 1) rgba[partially_keyed, :3] = 255 sticker = Image.fromarray(rgba, "RGBA") sticker = sticker.crop(sticker.getbbox()) sticker.save(WORK / "sticker.png") card = Image.new("RGBA", (930, 280)) draw = ImageDraw.Draw(card) draw.rounded_rectangle((1, 1, 928, 278), radius=28, fill=(18, 23, 20, 230)) lines = [ ("बिना गैस!", 28, 58, "#FFE38A"), ("1 कप बारीक सूखा नारियल", 111, 56, "#FFFFFF"), ("+ 1/3 कप मीठा कंडेंस्ड मिल्क", 190, 56, "#FFFFFF"), ] for text, y, size, color in lines: font = ImageFont.truetype(FONT, size) while draw.textlength(text, font=font, language="hi") > 865: size -= 1 font = ImageFont.truetype(FONT, size) draw.text((465, y), text, font=font, fill=color, anchor="mt", language="hi") card.save(WORK / "ingredients.png") def timestamp(seconds): cs = round(seconds * 100) return f"{cs // 360000}:{(cs // 6000) % 60:02}:{(cs // 100) % 60:02}.{cs % 100:02}" def make_captions(): ass = [ "[Script Info]", "ScriptType: v4.00+", "PlayResX: 1080", "PlayResY: 1920", "ScaledBorderAndShadow: yes", "WrapStyle: 2", "YCbCr Matrix: TV.709", "", "[V4+ Styles]", "Format: Name, Fontname, Fontsize, PrimaryColour, SecondaryColour, OutlineColour, BackColour, Bold, Italic, Underline, StrikeOut, ScaleX, ScaleY, Spacing, Angle, BorderStyle, Outline, Shadow, Alignment, MarginL, MarginR, MarginV, Encoding", ] specs = { "Caption": (66, "&H00FFFFFF", 4.6, 2.3, 2), "Emphasis": (76, "&H008AE3FF", 5, 2.8, 2), "Punchline": (92, "&H008AE3FF", 6, 3, 2), "Hook": (102, "&H008AE3FF", 6, 3, 8), "Header": (58, "&H00FFFFFF", 4.5, 2, 8), "SmallHeader": (48, "&H00FFFFFF", 4, 2, 8), "Time": (86, "&H008AE3FF", 5, 3, 8), } for name, (size, color, border, shadow, alignment) in specs.items(): ass.append(f"Style: {name},Noto Sans Devanagari,{size},{color},&H00FFFFFF,&H00121915,&H90121915,-1,0,0,0,100,100,0,0,1,{border},{shadow},{alignment},70,140,390,1") ass.extend(["", "[Events]", "Format: Layer, Start, End, Style, Name, MarginL, MarginR, MarginV, Effect, Text"]) srt = [] def event(start, end, text, style, x, y, layer=2): font_size = specs[style][0] while max(ImageFont.truetype(FONT, font_size).getlength(line) for line in text.split("\\N")) > 890: font_size -= 1 motion = r"\fscx96\fscy96\t(0,120,\fscx103\fscy103)\t(120,230,\fscx100\fscy100)" tags = "{" + f"\\pos({x},{y})\\fs{font_size}\\fad(35,45)" + motion + "}" ass.append(f"Dialogue: {layer},{timestamp(start)},{timestamp(end)},{style},,0,0,0,,{tags}{text}") for clip, captions in CAPTIONS.items(): for start, end, text, style in captions: a, b = STARTS[clip] + start, STARTS[clip] + end event(a, b, text, style, 510, 1450) srt.append((a, b, text.replace("\\N", "\n"))) for start, end, text, style, x, y in HEADERS: event(start, end, text, style, x, y) (WORK / "captions.ass").write_text("\n".join(ass), encoding="utf-8") def srt_stamp(seconds): ms = round(seconds * 1000) return f"{ms // 3600000:02}:{ms // 60000 % 60:02}:{ms // 1000 % 60:02},{ms % 1000:03}" srt.sort() text = "\n\n".join(f"{i}\n{srt_stamp(a)} --> {srt_stamp(b)}\n{t}" for i, (a, b, t) in enumerate(srt, 1)) (WORK / "hindi-captions.srt").write_text(text + "\n", encoding="utf-8") def pcm(path, filters="anull"): result = run(["-i", str(path), "-vn", "-af", filters, "-ar", str(RATE), "-ac", "2", "-f", "f32le", "pipe:1"], stdout=subprocess.PIPE) return np.frombuffer(result.stdout, dtype=np.float32).reshape(-1, 2).copy() def fade(audio, duration=0.01): n = min(int(RATE * duration), len(audio) // 2) audio[:n] *= np.linspace(0, 1, n)[:, None] audio[-n:] *= np.linspace(1, 0, n)[:, None] return audio def make_audio(): print("Balancing dialogue and adding timed sound design", flush=True) total = round(DURATION * RATE) voice = np.zeros((total, 2), dtype=np.float32) for seg in SEGMENTS: audio = pcm(ROOT / "sources" / f"{seg['clip']:02}.mp4", f"atrim=start={seg['start']}:end={seg['end']},asetpts=PTS-STARTPTS,atempo={seg['speed']},highpass=f=70,lowpass=f=12500") count = round(seg["duration"] * RATE) if len(audio) < count: audio = np.pad(audio, ((0, count - len(audio)), (0, 0))) audio = audio[:count] if seg.get("ambient"): audio *= 0.45 else: blocks = len(audio) // 2400 rms = np.sqrt(np.mean(audio[:blocks * 2400].reshape(blocks, -1) ** 2, axis=1)) speech_level = max(float(np.percentile(rms, 80)), 0.008) gain = min(0.17 / speech_level, 4.0) gain = min(gain, 0.78 / max(float(np.max(np.abs(audio))), 0.01)) audio *= gain fade(audio, 0.003) offset = round(seg["at"] * RATE) voice[offset:offset + count] = audio effects = np.zeros_like(voice) def add(audio, at, peak=0.18, length=None): if audio.ndim == 1: audio = np.column_stack((audio, audio)) audio = audio.copy() if length is not None: audio = audio[:round(length * RATE)] audio *= peak / max(float(np.max(np.abs(audio))), 0.0001) fade(audio, min(0.08, len(audio) / RATE / 5)) offset = round(at * RATE) count = min(len(audio), total - offset) if offset >= 0 and count > 0: effects[offset:offset + count] += audio[:count] rng = np.random.default_rng(12) def boing(duration=0.42): t = np.arange(round(duration * RATE)) / RATE frequency = 175 + 470 * np.exp(-10 * t) + 28 * np.sin(2 * np.pi * 18 * t) * np.exp(-5 * t) phase = 2 * np.pi * np.cumsum(frequency) / RATE return (np.sin(phase) + 0.3 * np.sin(2 * phase)) * np.exp(-7 * t) def chime(frequency=1046.5, duration=0.48): t = np.arange(round(duration * RATE)) / RATE return (np.sin(2 * np.pi * frequency * t) + 0.28 * np.sin(2 * np.pi * frequency * 2.76 * t)) * np.exp(-7 * t) def swish(duration=0.16): t = np.arange(round(duration * RATE)) / RATE noise = rng.normal(0, 1, len(t)) filtered = signal.sosfilt(signal.butter(2, [800, 6000], btype="bandpass", fs=RATE, output="sos"), noise) return filtered * np.sin(np.pi * np.minimum(t / duration, 1)) ** 2 add(boing(0.24), 0.64, peak=0.11) add(boing(), 4.53, peak=0.17) add(pcm(ROOT / "assets" / "cartoon-laugh.mp3"), 4.76, peak=0.16, length=0.72) add(swish(), STARTS[2] - 0.07, peak=0.08) add(chime(1480, 0.13), STARTS[6] + 2.32, peak=0.085) add(chime(1110, 0.13), STARTS[6] + 2.83, peak=0.075) add(swish(0.19), STARTS[7] - 0.12, peak=0.07) add(chime(1174.66), STARTS[7] + 2.13, peak=0.105) add(chime(1567.98, 0.35), STARTS[7] + 2.28, peak=0.065) add(boing(0.28), STARTS[8] + 3.55, peak=0.115) crowd = pcm(ROOT / "assets" / "crowd-laugh.mp3") add(crowd[int(0.3 * RATE):], STARTS[8] + 3.76, peak=0.27, length=DURATION - STARTS[8] - 3.76) bed = np.zeros(total, dtype=np.float32) notes = [293.665, 440, 369.994, 440, 329.628, 493.883, 369.994, 440] for i, at in enumerate(np.arange(STARTS[2] + 0.08, STARTS[8] - 0.2, 0.625)): t = np.arange(round(0.46 * RATE)) / RATE frequency = notes[i % len(notes)] note = (np.sin(2 * np.pi * frequency * t) + 0.2 * np.sin(2 * np.pi * frequency * 2 * t)) * np.exp(-11 * t) note *= (1 - np.exp(-100 * t)) * (0.12 if i % 2 == 0 else 0.08) offset = round(at * RATE) count = min(len(note), total - offset) bed[offset:offset + count] += note[:count] envelope = signal.lfilter([1 / 2400] * 2400, [1], np.mean(voice ** 2, axis=1)) duck = np.where(np.sqrt(envelope) > 0.025, 0.32, 0.8) duck = signal.sosfilt(signal.butter(1, 10, fs=RATE, output="sos"), duck) bed *= duck audio = voice + effects + np.column_stack((bed, bed * 0.96)) audio = fade(audio, 0.006) tail = round(0.11 * RATE) audio[-tail:] *= np.linspace(1, 0, tail)[:, None] peak = float(np.max(np.abs(audio))) if peak > 0.97: audio *= 0.97 / peak wavfile.write(WORK / "mix.wav", RATE, audio.astype(np.float32)) measured = subprocess.run([FFMPEG, "-hide_banner", "-i", str(WORK / "mix.wav"), "-af", "loudnorm=I=-16:TP=-1.5:LRA=8:print_format=json", "-f", "null", "-"], capture_output=True, text=True, check=True) loudness = json.loads(re.findall(r'\{[^{}]+"input_i"[^{}]+\}', measured.stderr)[-1]) normalization = f"loudnorm=I=-16:TP=-1.5:LRA=8:measured_I={loudness['input_i']}:measured_TP={loudness['input_tp']}:measured_LRA={loudness['input_lra']}:measured_thresh={loudness['input_thresh']}:offset={loudness['target_offset']}:linear=true" run(["-i", str(WORK / "mix.wav"), "-af", normalization, "-ar", str(RATE), "-c:a", "pcm_s24le", str(WORK / "final-audio.wav")]) (WORK / "audio-analysis.json").write_text(json.dumps(loudness, indent=2)) def render(): print(f"Rendering {DURATION:.3f}s, {WIDTH}x{HEIGHT}, {FPS}fps", flush=True) args = ["-filter_complex_threads", "1"] for i in range(1, 9): args += ["-threads", "1", "-i", str(ROOT / "sources" / f"{i:02}.mp4")] args += ["-loop", "1", "-framerate", str(FPS), "-i", str(WORK / "sticker.png")] args += ["-loop", "1", "-framerate", str(FPS), "-i", str(WORK / "ingredients.png")] args += ["-i", str(WORK / "final-audio.wav")] graph = ["[1:v]split=2[second_a][second_b]"] second = 0 for i, seg in enumerate(SEGMENTS): if seg["clip"] == 2: source = "second_a" if second == 0 else "second_b" second += 1 else: source = f"{seg['clip'] - 1}:v" zoom = "" if seg["clip"] == 8: zoom = ",scale=1124:1998:flags=lanczos,crop=1080:1920:22:39" graph.append(f"[{source}]trim=start={seg['start']:.9f}:end={seg['end']:.9f},setpts=(PTS-STARTPTS)/{seg['speed']},fps={FPS}{zoom},setsar=1,format=yuv420p[v{i}]") graph.append("".join(f"[v{i}]" for i in range(len(SEGMENTS))) + f"concat=n={len(SEGMENTS)}:v=1:a=0[base]") graph.append("[8:v]scale=284:-1:flags=lanczos,format=rgba[sticker]") graph.append("[base][sticker]overlay=x=654:y='950+18*sin((t-4.55)*18)*exp(-2*(t-4.55))':enable='between(t,4.55,5.56)':eof_action=repeat[reaction]") graph.append(f"[reaction][9:v]overlay=x=45:y=155:enable='between(t,{STARTS[2]},{STARTS[3] - 0.03})':eof_action=repeat[panels]") graph.append(f"[panels]ass='{WORK / 'captions.ass'}':fontsdir='/usr/share/fonts/google-noto'[out]") (WORK / "video-filter.txt").write_text(";\n".join(graph)) args += ["-filter_complex_script", str(WORK / "video-filter.txt"), "-map", "[out]", "-map", "10:a", "-t", f"{DURATION:.9f}", "-c:v", "libx264", "-preset", "fast", "-crf", "18", "-threads", "2", "-pix_fmt", "yuv420p", "-profile:v", "high", "-level:v", "4.1", "-color_primaries", "bt709", "-color_trc", "bt709", "-colorspace", "bt709", "-c:a", "aac", "-b:a", "192k", "-ar", "48000", "-movflags", "+faststart", "-metadata", "title=Santara nahi, nariyal laddoo!", "-metadata", "comment=Vertical recipe short with Hindi captions and timed comedy effects.", "-progress", "pipe:1", str(FINAL)] run(args) print(f"RENDERED {FINAL} ({FINAL.stat().st_size / 1024 / 1024:.2f} MiB)", flush=True) def inspect_output(): container = av.open(str(FINAL)) video = container.streams.video[0] metadata = {"duration": float(video.duration * video.time_base), "width": video.width, "height": video.height, "fps": str(video.average_rate), "video_codec": video.codec_context.name, "audio_codec": container.streams.audio[0].codec_context.name, "bytes": FINAL.stat().st_size} (OUTPUT / "metadata.json").write_text(json.dumps(metadata, indent=2)) font = ImageFont.truetype("/usr/share/fonts/dejavu-sans-fonts/DejaVuSans.ttf", 18) times = [0.5, 3.9, 4.98, STARTS[2] + 2.6, STARTS[3] + 1.6, STARTS[3] + 4.8, STARTS[4] + 4.0, STARTS[5] + 2.0, STARTS[6] + 1.2, STARTS[7] + 2.9, STARTS[8] + 3.2, DURATION - 0.4] for sheet_index in range(3): sheet = Image.new("RGB", (1080, 520), "#171717") draw = ImageDraw.Draw(sheet) for column, seconds in enumerate(times[sheet_index * 4:sheet_index * 4 + 4]): container.seek(int(seconds / video.time_base), stream=video) for frame in container.decode(video=0): if float(frame.time) >= seconds: sheet.paste(frame.to_image().resize((270, 480), Image.Resampling.LANCZOS), (270 * column, 35)) draw.text((270 * column + 8, 8), f"{seconds:.2f}s", font=font, fill="white") if sheet_index == 0 and column == 3: frame.to_image().save(OUTPUT / "ingredient-frame.jpg", quality=94) break sheet.save(OUTPUT / f"review-{sheet_index + 1}.jpg", quality=92) container.close() run(["-i", str(FINAL), "-f", "null", "-"]) print("Full decode check passed:", json.dumps(metadata), flush=True) if __name__ == "__main__": make_assets() make_captions() make_audio() render() inspect_output() [V0_FILE]javascript:file="/video-work/upload_video.mjs" import { createReadStream } from 'node:fs'; import { readFile, stat, writeFile } from 'node:fs/promises'; import { fileURLToPath } from 'node:url'; import { put } from '@vercel/blob'; const file = fileURLToPath(new URL('./final/santara-nahi-nariyal-laddoo-short.mp4', import.meta.url)); const metadata = JSON.parse(await readFile(new URL('./final/metadata.json', import.meta.url), 'utf8')); const local = await stat(file); if (local.size < 1_000_000 || metadata.width !== 1080 || metadata.height !== 1920 || metadata.duration < 35) { throw new Error('The final video did not pass the delivery checks.'); } const uploaded = await put('finished-shorts/santara-nahi-nariyal-laddoo-short.mp4', createReadStream(file), { access: 'public', contentType: 'video/mp4', addRandomSuffix: true, multipart: true, }); const response = await fetch(uploaded.url, { method: 'HEAD' }); if (!response.ok || Number(response.headers.get('content-length')) !== local.size) { throw new Error('The public video link did not pass the download verification.'); } const result = { url: uploaded.url, downloadUrl: uploaded.downloadUrl, ...metadata }; await writeFile(new URL('./final/delivery.json', import.meta.url), JSON.stringify(result, null, 2)); console.log(JSON.stringify(result, null, 2));3c:oa,129:T4df0,3c:o4df0,[V0_FILE]python:file="/video-work/edit_plan.py" from pathlib import Path ROOT = Path(__file__).resolve().parent FPS = 24 WIDTH, HEIGHT = 1080, 1920 SEGMENTS = [ {"clip": 1, "start": 3 / FPS, "end": 137 / FPS, "speed": 1}, {"clip": 2, "start": 70 / FPS, "end": 108 / FPS, "speed": 1}, {"clip": 2, "start": 108 / FPS, "end": 144 / FPS, "speed": 0.5, "ambient": True}, {"clip": 3, "start": 0, "end": 176 / FPS, "speed": 1}, {"clip": 4, "start": 0, "end": 141 / FPS, "speed": 1}, {"clip": 5, "start": 0, "end": 92 / FPS, "speed": 1}, {"clip": 6, "start": 0, "end": 88 / FPS, "speed": 1}, {"clip": 7, "start": 0, "end": 129 / FPS, "speed": 1}, {"clip": 8, "start": 0, "end": 122 / FPS, "speed": 1}, ] DURATION = 0.0 STARTS = {} for segment in SEGMENTS: segment["at"] = DURATION segment["duration"] = (segment["end"] - segment["start"]) / segment["speed"] STARTS.setdefault(segment["clip"], DURATION) DURATION += segment["duration"] CAPTIONS = { 1: [ (1.05, 2.20, "बहू!", "Emphasis"), (2.28, 3.32, "इस संतरे में", "Caption"), (3.32, 4.65, "नारियल कहाँ से आया?", "Caption"), ], 2: [ (0.18, 1.75, "नारियल के लड्डू हैं!", "Emphasis"), ], 3: [ (0.00, 1.18, "एक चौथाई मिश्रण", "Caption"), (1.18, 2.24, "सफेद रखो।", "Emphasis"), (2.53, 4.27, "बाकी में एक बूँद", "Caption"), (4.27, 5.68, "खाने वाला नारंगी रंग", "Caption"), (5.68, 6.89, "अच्छी तरह मिलाओ।", "Caption"), ], 4: [ (0.00, 1.14, "सफेद वाली गोली", "Caption"), (1.14, 2.08, "अंदर रखो।", "Caption"), (2.08, 3.57, "और नारंगी मिश्रण से", "Caption"), (3.57, 5.10, "ढककर गोल कर लो।", "Caption"), ], 5: [ (0.00, 1.37, "हल्के निशान बनाओ,", "Caption"), (1.40, 2.99, "और ऊपर पुदीना लगा दो।", "Caption"), ], 6: [ (0.00, 1.92, "अब पंद्रह मिनट\\Nफ्रिज में रखो।", "Caption"), ], 7: [ (1.25, 2.51, "संतरे जैसे...", "Caption"), (2.51, 3.67, "नारियल के लड्डू", "Caption"), (3.67, 5.23, "तैयार!", "Emphasis"), ], 8: [ (0.00, 0.71, "बहू,", "Caption"), (0.71, 2.42, "रेसिपी सबको देना...", "Caption"), (2.42, 2.85, "लेकिन...", "Caption"), (2.85, 3.92, "ये प्लेट मेरी!", "Punchline"), ], } HEADERS = [ (0.0, 1.32, "संतरे में\\Nनारियल?!", "Hook", 510, 195), (STARTS[3] + 0.1, STARTS[3] + 2.3, "¼ हिस्सा सफेद रखें", "Header", 510, 190), (STARTS[3] + 2.53, STARTS[3] + 7.1, "फूड-ग्रेड रंग • लेबल के अनुसार", "SmallHeader", 510, 190), (STARTS[4] + 0.1, STARTS[4] + 5.6, "सफेद अंदर • नारंगी बाहर", "Header", 510, 190), (STARTS[5] + 0.06, STARTS[5] + 1.5, "टूथपिक से हल्के निशान", "Header", 510, 190), (STARTS[5] + 1.5, STARTS[5] + 3.75, "ऊपर धुला पुदीना लगाएँ", "Header", 510, 190), (STARTS[6] + 0.05, STARTS[6] + 3.55, "15 मिनट\\Nफ्रिज में रखें", "Time", 510, 185), (STARTS[7], STARTS[7] + 1.55, "15 मिनट बाद...", "Header", 510, 190), (STARTS[7] + 1.6, STARTS[7] + 5.28, "संतरा नहीं, नारियल लड्डू!", "Header", 510, 190), (STARTS[8] + 3.94, DURATION - 0.03, "रेसिपी सेव कर लो!", "Header", 510, 190), ] [V0_FILE]python:file="/video-work/finish_video.py" import json import math import re import subprocess from pathlib import Path import av import imageio_ffmpeg import numpy as np from PIL import Image, ImageDraw, ImageFont from scipy import signal from scipy.io import wavfile from edit_plan import CAPTIONS, DURATION, FPS, HEADERS, HEIGHT, ROOT, SEGMENTS, STARTS, WIDTH FFMPEG = imageio_ffmpeg.get_ffmpeg_exe() WORK = ROOT / "render" WORK.mkdir(exist_ok=True) OUTPUT = ROOT / "final" OUTPUT.mkdir(exist_ok=True) FINAL = OUTPUT / "santara-nahi-nariyal-laddoo-short.mp4" FONT = "/usr/share/fonts/google-noto/NotoSansDevanagari-Bold.ttf" RATE = 48000 def run(args, **kwargs): return subprocess.run([FFMPEG, "-hide_banner", "-loglevel", "error", "-y", *args], check=True, **kwargs) def make_assets(): source = Image.open(ROOT / "assets" / "coconut-reaction.png").convert("RGB") rgb = np.asarray(source).astype(np.float32) magenta = (rgb[:, :, 0] + rgb[:, :, 2]) / 2 - rgb[:, :, 1] alpha = np.clip((125 - magenta) / 45, 0, 1) rgba = np.concatenate([rgb, alpha[:, :, None] * 255], axis=2).astype(np.uint8) partially_keyed = (alpha > 0) & (alpha < 1) rgba[partially_keyed, :3] = 255 sticker = Image.fromarray(rgba, "RGBA") sticker = sticker.crop(sticker.getbbox()) sticker.save(WORK / "sticker.png") card = Image.new("RGBA", (930, 280)) draw = ImageDraw.Draw(card) draw.rounded_rectangle((1, 1, 928, 278), radius=28, fill=(18, 23, 20, 230)) lines = [ ("बिना गैस!", 28, 58, "#FFE38A"), ("1 कप बारीक सूखा नारियल", 111, 56, "#FFFFFF"), ("+ 1/3 कप मीठा कंडेंस्ड मिल्क", 190, 56, "#FFFFFF"), ] for text, y, size, color in lines: font = ImageFont.truetype(FONT, size) while draw.textlength(text, font=font, language="hi") > 865: size -= 1 font = ImageFont.truetype(FONT, size) draw.text((465, y), text, font=font, fill=color, anchor="mt", language="hi") card.save(WORK / "ingredients.png") def timestamp(seconds): cs = round(seconds * 100) return f"{cs // 360000}:{(cs // 6000) % 60:02}:{(cs // 100) % 60:02}.{cs % 100:02}" def make_captions(): ass = [ "[Script Info]", "ScriptType: v4.00+", "PlayResX: 1080", "PlayResY: 1920", "ScaledBorderAndShadow: yes", "WrapStyle: 2", "YCbCr Matrix: TV.709", "", "[V4+ Styles]", "Format: Name, Fontname, Fontsize, PrimaryColour, SecondaryColour, OutlineColour, BackColour, Bold, Italic, Underline, StrikeOut, ScaleX, ScaleY, Spacing, Angle, BorderStyle, Outline, Shadow, Alignment, MarginL, MarginR, MarginV, Encoding", ] specs = { "Caption": (66, "&H00FFFFFF", 4.6, 2.3, 2), "Emphasis": (76, "&H008AE3FF", 5, 2.8, 2), "Punchline": (92, "&H008AE3FF", 6, 3, 2), "Hook": (102, "&H008AE3FF", 6, 3, 8), "Header": (58, "&H00FFFFFF", 4.5, 2, 8), "SmallHeader": (48, "&H00FFFFFF", 4, 2, 8), "Time": (86, "&H008AE3FF", 5, 3, 8), } for name, (size, color, border, shadow, alignment) in specs.items(): ass.append(f"Style: {name},Noto Sans Devanagari,{size},{color},&H00FFFFFF,&H00121915,&H90121915,-1,0,0,0,100,100,0,0,1,{border},{shadow},{alignment},70,140,390,1") ass.extend(["", "[Events]", "Format: Layer, Start, End, Style, Name, MarginL, MarginR, MarginV, Effect, Text"]) srt = [] def event(start, end, text, style, x, y, layer=2): font_size = specs[style][0] while max(ImageFont.truetype(FONT, font_size).getlength(line) for line in text.split("\\N")) > 890: font_size -= 1 motion = r"\fscx96\fscy96\t(0,120,\fscx103\fscy103)\t(120,230,\fscx100\fscy100)" tags = "{" + f"\\pos({x},{y})\\fs{font_size}\\fad(35,45)" + motion + "}" ass.append(f"Dialogue: {layer},{timestamp(start)},{timestamp(end)},{style},,0,0,0,,{tags}{text}") for clip, captions in CAPTIONS.items(): for start, end, text, style in captions: a, b = STARTS[clip] + start, STARTS[clip] + end event(a, b, text, style, 510, 1450) srt.append((a, b, text.replace("\\N", "\n"))) for start, end, text, style, x, y in HEADERS: event(start, end, text, style, x, y) (WORK / "captions.ass").write_text("\n".join(ass), encoding="utf-8") def srt_stamp(seconds): ms = round(seconds * 1000) return f"{ms // 3600000:02}:{ms // 60000 % 60:02}:{ms // 1000 % 60:02},{ms % 1000:03}" srt.sort() text = "\n\n".join(f"{i}\n{srt_stamp(a)} --> {srt_stamp(b)}\n{t}" for i, (a, b, t) in enumerate(srt, 1)) (WORK / "hindi-captions.srt").write_text(text + "\n", encoding="utf-8") def pcm(path, filters="anull"): result = run(["-i", str(path), "-vn", "-af", filters, "-ar", str(RATE), "-ac", "2", "-f", "f32le", "pipe:1"], stdout=subprocess.PIPE) return np.frombuffer(result.stdout, dtype=np.float32).reshape(-1, 2).copy() def fade(audio, duration=0.01): n = min(int(RATE * duration), len(audio) // 2) audio[:n] *= np.linspace(0, 1, n)[:, None] audio[-n:] *= np.linspace(1, 0, n)[:, None] return audio def make_audio(): print("Balancing dialogue and adding timed sound design", flush=True) total = round(DURATION * RATE) voice = np.zeros((total, 2), dtype=np.float32) for seg in SEGMENTS: audio = pcm(ROOT / "sources" / f"{seg['clip']:02}.mp4", f"atrim=start={seg['start']}:end={seg['end']},asetpts=PTS-STARTPTS,atempo={seg['speed']},highpass=f=70,lowpass=f=12500") count = round(seg["duration"] * RATE) if len(audio) < count: audio = np.pad(audio, ((0, count - len(audio)), (0, 0))) audio = audio[:count] if seg.get("ambient"): audio *= 0.45 else: blocks = len(audio) // 2400 rms = np.sqrt(np.mean(audio[:blocks * 2400].reshape(blocks, -1) ** 2, axis=1)) speech_level = max(float(np.percentile(rms, 80)), 0.008) gain = min(0.17 / speech_level, 4.0) gain = min(gain, 0.78 / max(float(np.max(np.abs(audio))), 0.01)) audio *= gain fade(audio, 0.003) offset = round(seg["at"] * RATE) voice[offset:offset + count] = audio effects = np.zeros_like(voice) def add(audio, at, peak=0.18, length=None): if audio.ndim == 1: audio = np.column_stack((audio, audio)) audio = audio.copy() if length is not None: audio = audio[:round(length * RATE)] audio *= peak / max(float(np.max(np.abs(audio))), 0.0001) fade(audio, min(0.08, len(audio) / RATE / 5)) offset = round(at * RATE) count = min(len(audio), total - offset) if offset >= 0 and count > 0: effects[offset:offset + count] += audio[:count] rng = np.random.default_rng(12) def boing(duration=0.42): t = np.arange(round(duration * RATE)) / RATE frequency = 175 + 470 * np.exp(-10 * t) + 28 * np.sin(2 * np.pi * 18 * t) * np.exp(-5 * t) phase = 2 * np.pi * np.cumsum(frequency) / RATE return (np.sin(phase) + 0.3 * np.sin(2 * phase)) * np.exp(-7 * t) def chime(frequency=1046.5, duration=0.48): t = np.arange(round(duration * RATE)) / RATE return (np.sin(2 * np.pi * frequency * t) + 0.28 * np.sin(2 * np.pi * frequency * 2.76 * t)) * np.exp(-7 * t) def swish(duration=0.16): t = np.arange(round(duration * RATE)) / RATE noise = rng.normal(0, 1, len(t)) filtered = signal.sosfilt(signal.butter(2, [800, 6000], btype="bandpass", fs=RATE, output="sos"), noise) return filtered * np.sin(np.pi * np.minimum(t / duration, 1)) ** 2 add(boing(0.24), 0.64, peak=0.11) add(boing(), 4.53, peak=0.17) add(pcm(ROOT / "assets" / "cartoon-laugh.mp3"), 4.76, peak=0.16, length=0.72) add(swish(), STARTS[2] - 0.07, peak=0.08) add(chime(1480, 0.13), STARTS[6] + 2.32, peak=0.085) add(chime(1110, 0.13), STARTS[6] + 2.83, peak=0.075) add(swish(0.19), STARTS[7] - 0.12, peak=0.07) add(chime(1174.66), STARTS[7] + 2.13, peak=0.105) add(chime(1567.98, 0.35), STARTS[7] + 2.28, peak=0.065) add(boing(0.28), STARTS[8] + 3.55, peak=0.115) crowd = pcm(ROOT / "assets" / "crowd-laugh.mp3") add(crowd[int(0.3 * RATE):], STARTS[8] + 3.76, peak=0.27, length=DURATION - STARTS[8] - 3.76) bed = np.zeros(total, dtype=np.float32) notes = [293.665, 440, 369.994, 440, 329.628, 493.883, 369.994, 440] for i, at in enumerate(np.arange(STARTS[2] + 0.08, STARTS[8] - 0.2, 0.625)): t = np.arange(round(0.46 * RATE)) / RATE frequency = notes[i % len(notes)] note = (np.sin(2 * np.pi * frequency * t) + 0.2 * np.sin(2 * np.pi * frequency * 2 * t)) * np.exp(-11 * t) note *= (1 - np.exp(-100 * t)) * (0.12 if i % 2 == 0 else 0.08) offset = round(at * RATE) count = min(len(note), total - offset) bed[offset:offset + count] += note[:count] envelope = signal.lfilter([1 / 2400] * 2400, [1], np.mean(voice ** 2, axis=1)) duck = np.where(np.sqrt(envelope) > 0.025, 0.32, 0.8) duck = signal.sosfilt(signal.butter(1, 10, fs=RATE, output="sos"), duck) bed *= duck audio = voice + effects + np.column_stack((bed, bed * 0.96)) audio = fade(audio, 0.006) tail = round(0.11 * RATE) audio[-tail:] *= np.linspace(1, 0, tail)[:, None] peak = float(np.max(np.abs(audio))) if peak > 0.97: audio *= 0.97 / peak wavfile.write(WORK / "mix.wav", RATE, audio.astype(np.float32)) measured = subprocess.run([FFMPEG, "-hide_banner", "-i", str(WORK / "mix.wav"), "-af", "loudnorm=I=-16:TP=-1.5:LRA=8:print_format=json", "-f", "null", "-"], capture_output=True, text=True, check=True) loudness = json.loads(re.findall(r'\{[^{}]+"input_i"[^{}]+\}', measured.stderr)[-1]) normalization = f"loudnorm=I=-16:TP=-1.5:LRA=8:measured_I={loudness['input_i']}:measured_TP={loudness['input_tp']}:measured_LRA={loudness['input_lra']}:measured_thresh={loudness['input_thresh']}:offset={loudness['target_offset']}:linear=true" run(["-i", str(WORK / "mix.wav"), "-af", normalization, "-ar", str(RATE), "-c:a", "pcm_s24le", str(WORK / "final-audio.wav")]) (WORK / "audio-analysis.json").write_text(json.dumps(loudness, indent=2)) def render(): print(f"Rendering {DURATION:.3f}s, {WIDTH}x{HEIGHT}, {FPS}fps", flush=True) args = ["-filter_complex_threads", "1"] for i in range(1, 9): args += ["-threads", "1", "-i", str(ROOT / "sources" / f"{i:02}.mp4")] args += ["-loop", "1", "-framerate", str(FPS), "-i", str(WORK / "sticker.png")] args += ["-loop", "1", "-framerate", str(FPS), "-i", str(WORK / "ingredients.png")] args += ["-i", str(WORK / "final-audio.wav")] graph = ["[1:v]split=2[second_a][second_b]"] second = 0 for i, seg in enumerate(SEGMENTS): if seg["clip"] == 2: source = "second_a" if second == 0 else "second_b" second += 1 else: source = f"{seg['clip'] - 1}:v" zoom = "" if seg["clip"] == 8: zoom = ",scale=1124:1998:flags=lanczos,crop=1080:1920:22:39" graph.append(f"[{source}]trim=start={seg['start']:.9f}:end={seg['end']:.9f},setpts=(PTS-STARTPTS)/{seg['speed']},fps={FPS}{zoom},setsar=1,format=yuv420p[v{i}]") graph.append("".join(f"[v{i}]" for i in range(len(SEGMENTS))) + f"concat=n={len(SEGMENTS)}:v=1:a=0[base]") graph.append("[8:v]scale=284:-1:flags=lanczos,format=rgba[sticker]") graph.append("[base][sticker]overlay=x=654:y='950+18*sin((t-4.55)*18)*exp(-2*(t-4.55))':enable='between(t,4.55,5.56)':eof_action=repeat[reaction]") graph.append(f"[reaction][9:v]overlay=x=45:y=155:enable='between(t,{STARTS[2]},{STARTS[3] - 0.03})':eof_action=repeat[panels]") graph.append(f"[panels]ass='{WORK / 'captions.ass'}':fontsdir='/usr/share/fonts/google-noto'[out]") (WORK / "video-filter.txt").write_text(";\n".join(graph)) args += ["-filter_complex_script", str(WORK / "video-filter.txt"), "-map", "[out]", "-map", "10:a", "-t", f"{DURATION:.9f}", "-c:v", "libx264", "-preset", "fast", "-crf", "18", "-threads", "2", "-pix_fmt", "yuv420p", "-profile:v", "high", "-level:v", "4.1", "-color_primaries", "bt709", "-color_trc", "bt709", "-colorspace", "bt709", "-c:a", "aac", "-b:a", "192k", "-ar", "48000", "-movflags", "+faststart", "-metadata", "title=Santara nahi, nariyal laddoo!", "-metadata", "comment=Vertical recipe short with Hindi captions and timed comedy effects.", "-progress", "pipe:1", str(FINAL)] run(args) print(f"RENDERED {FINAL} ({FINAL.stat().st_size / 1024 / 1024:.2f} MiB)", flush=True) def inspect_output(): container = av.open(str(FINAL)) video = container.streams.video[0] metadata = {"duration": float(video.duration * video.time_base), "width": video.width, "height": video.height, "fps": str(video.average_rate), "video_codec": video.codec_context.name, "audio_codec": container.streams.audio[0].codec_context.name, "bytes": FINAL.stat().st_size} (OUTPUT / "metadata.json").write_text(json.dumps(metadata, indent=2)) font = ImageFont.truetype("/usr/share/fonts/dejavu-sans-fonts/DejaVuSans.ttf", 18) times = [0.5, 3.9, 4.98, STARTS[2] + 2.6, STARTS[3] + 1.6, STARTS[3] + 4.8, STARTS[4] + 4.0, STARTS[5] + 2.0, STARTS[6] + 1.2, STARTS[7] + 2.9, STARTS[8] + 3.2, DURATION - 0.4] for sheet_index in range(3): sheet = Image.new("RGB", (1080, 520), "#171717") draw = ImageDraw.Draw(sheet) for column, seconds in enumerate(times[sheet_index * 4:sheet_index * 4 + 4]): container.seek(int(seconds / video.time_base), stream=video) for frame in container.decode(video=0): if float(frame.time) >= seconds: sheet.paste(frame.to_image().resize((270, 480), Image.Resampling.LANCZOS), (270 * column, 35)) draw.text((270 * column + 8, 8), f"{seconds:.2f}s", font=font, fill="white") if sheet_index == 0 and column == 3: frame.to_image().save(OUTPUT / "ingredient-frame.jpg", quality=94) break sheet.save(OUTPUT / f"review-{sheet_index + 1}.jpg", quality=92) container.close() run(["-i", str(FINAL), "-f", "null", "-"]) print("Full decode check passed:", json.dumps(metadata), flush=True) if __name__ == "__main__": make_assets() make_captions() make_audio() render() inspect_output() [V0_FILE]javascript:file="/video-work/upload_video.mjs" import { createReadStream } from 'node:fs'; import { readFile, stat, writeFile } from 'node:fs/promises'; import { fileURLToPath } from 'node:url'; import { put } from '@vercel/blob'; const file = fileURLToPath(new URL('./final/santara-nahi-nariyal-laddoo-short.mp4', import.meta.url)); const metadata = JSON.parse(await readFile(new URL('./final/metadata.json', import.meta.url), 'utf8')); const local = await stat(file); if (local.size < 1_000_000 || metadata.width !== 1080 || metadata.height !== 1920 || metadata.duration < 35) { throw new Error('The final video did not pass the delivery checks.'); } const uploaded = await put('finished-shorts/santara-nahi-nariyal-laddoo-short.mp4', createReadStream(file), { access: 'public', contentType: 'video/mp4', addRandomSuffix: true, multipart: true, }); const response = await fetch(uploaded.url, { method: 'HEAD' }); if (!response.ok || Number(response.headers.get('content-length')) !== local.size) { throw new Error('The public video link did not pass the download verification.'); } const result = { url: uploaded.url, downloadUrl: uploaded.downloadUrl, ...metadata }; await writeFile(new URL('./final/delivery.json', import.meta.url), JSON.stringify(result, null, 2)); console.log(JSON.stringify(result, null, 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