I've completely removed all API-related functionality and created a simplified upload form that:
The implementation includes:
UploadDocumentFormSimplified component that handles the file upload UI without any API callsupload-document-form.tsx that simply re-exports the simplified version/upload page to test the simplified formAll Gradio API calls, connection testing, payload validation, ZIP extraction, and API-related error handling have been removed. This should eliminate the errors you were seeing in the logs.
To test it, navigate to /upload in your application. You'll be able to select files and "upload" them without any API calls, and they'll appear in the table on the right side of the page.
I've implemented a complete document viewing and downloading system for your dashboard. Here's what I've added:
Download Options: Users can download files in:
Enhanced Document Views: Updated both the client documents view and main documents view to include:
/documents/[id] route for viewing individual documents.The implementation simulates the downloads (since we're not actually storing files), but provides all the UI and interaction patterns needed. When a user clicks to download a file, they'll see toast notifications confirming the download started and completed.
In the document list, each file now has:
The document viewer shows:
This implementation keeps everything client-side without any API calls, while providing a complete user experience for viewing and downloading documents in different formats.
let's tretry analyzing tha pi request we send from thsi guide: Below is a step-by-step explanation of how you might integrate the API into your website so that when a user uploads a document, it’s sent to the API for processing and then the results (logs and a zip file) are saved and shown on their dashboard.
First, you need an HTML form where users can select a document to upload. This is a simple form with a file input and a submit button.
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8" />
<title>Document Upload</title>
</head>
<body>
<!-- A simple upload form -->
<form id="uploadForm">
<input type="file" id="fileInput" />
<button type="submit">Upload and Process</button>
</form>
<!-- Area to show the processing logs and download link -->
<div id="result">
<h3>Processing Logs</h3>
<pre id="processingLogs"></pre>
<h3>Download Processed File</h3>
<a id="downloadLink" href="" target="_blank" style="display:none;">Download Zip</a>
</div>
<!-- We will add our JavaScript next -->
<script type="module" src="app.js"></script>
</body>
</html>
Create a JavaScript file (for example, app.js) that does the following:
Listen for the Form Submission:
When the user clicks “Upload and Process,” the script intercepts the submission so it can handle the file.
Read the File:
The file is read as binary data (a buffer) so it can be sent to the API.
Call the Hugging Face Space API:
Using the Gradio client (which you install via npm), the file is sent to the /run_processing_wrapper endpoint.
Handle the Response:
Once the API returns, it gives you two pieces of data:
Display the Results:
Update the page so that the logs are shown and the user can click the link to download the zip file.
Here’s an example app.js:
// Import the Gradio client from the npm package (@gradio/client)
import { Client } from "@gradio/client";
// Connect to your Hugging Face Space (replace with your actual space identifier)
const client = await Client.connect("your-username/your-space");
// Get references to the DOM elements
const form = document.getElementById("uploadForm");
const fileInput = document.getElementById("fileInput");
const processingLogs = document.getElementById("processingLogs");
const downloadLink = document.getElementById("downloadLink");
// Listen for form submission
form.addEventListener("submit", async (e) => {
e.preventDefault(); // Stop the form from submitting normally
// Get the file from the file input
const file = fileInput.files[0];
if (!file) {
alert("Please select a file to upload.");
return;
}
// Convert the file to an ArrayBuffer (binary data)
const fileBuffer = await file.arrayBuffer();
// Call the API endpoint with the file data
try {
const result = await client.predict("/run_processing_wrapper", {
input_files_raw: fileBuffer,
});
// The API returns a two-element array:
// [0]: Processing logs (text)
// [1]: The zip file path (download link)
const logs = result.data[0];
const zipPath = result.data[1];
// Display the logs in the page
processingLogs.innerText = logs;
// Set up the download link for the zip file
downloadLink.href = zipPath;
downloadLink.style.display = "block";
// Optionally, if you need to save these results to the user's dashboard,
// you might call your backend API here with the result data.
// For example:
// await saveResultToDashboard({ logs, zipPath, userId: currentUser.id });
} catch (err) {
processingLogs.innerText = "Error processing file: " + err;
}
});
In a real-world application, you’d likely have a backend server (for example, using Node.js, Python, etc.) that manages user data and stores results in a database or file storage. Here’s a high-level explanation of how you could integrate that:
After the API Call:
Once you get the logs and zip file path from the API, send this data to your backend server using another HTTP request (e.g., via fetch()).
Backend Storage:
Your server would then save the processing logs and the download link (or even download and store the file) in association with the user’s account in your database.
Dashboard Display:
When the user visits their dashboard, your backend retrieves these stored results and sends them to the frontend, where you display them as part of the user’s history or recent uploads.
For example, a simplified frontend call to your backend might look like this:
// Example function to save result to backend dashboard
async function saveResultToDashboard(resultData) {
const response = await fetch("/api/saveResult", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify(resultData),
});
return response.json();
}
// And then call it in your try block after processing:
await saveResultToDashboard({ logs, zipPath, userId: "current-user-id" });
Your backend would then have an endpoint (e.g., /api/saveResult) to handle the POST request and store the result accordingly.
This integration covers the full flow from a user uploading a document, having it processed by the Space’s API, and then making the results available for download and dashboard viewing—all with clear, step-by-step instructions that even a non-expert can follow.