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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>HF Space AI Workspace</title>
<script src="https://cdn.tailwindcss.com"></script>
<!-- JSZip for client side unzip and document parsing -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/jszip/3.10.1/jszip.min.js"></script>
</head>
<body class="bg-gray-900 text-gray-100 h-screen flex flex-col font-sans">
<!-- Header Config -->
<header class="bg-gray-800 border-b border-gray-700 p-4">
<div class="max-w-6xl mx-auto flex flex-col sm:flex-row justify-between items-center gap-4">
<h1 class="text-xl font-bold tracking-tight text-white flex items-center gap-2">
<span></span> HF Space AI Gateway
</h1>
<div class="flex flex-wrap items-center gap-3 w-full sm:w-auto justify-end">
<!-- Smart HF URL Container: Shows only if HTML is run locally -->
<div id="hf-url-container" class="hidden w-full sm:w-auto">
<input type="text" id="hf-url-input" placeholder="Hugging Face Direct URL (e.g. https://your-space.hf.space)"
class="bg-gray-700 border border-gray-600 rounded px-3 py-1.5 text-xs text-white w-full sm:w-72">
</div>
<div class="flex items-center gap-2">
<label for="model-select" class="text-xs text-gray-300 whitespace-nowrap">Model:</label>
<select id="model-select" class="bg-gray-700 border border-gray-600 rounded px-2.5 py-1.5 text-xs text-white focus:outline-none focus:ring-2 focus:ring-blue-500">
<option value="claude-opus-4-8">claude-opus-4-8</option>
<option value="claude-opus-4-7">claude-opus-4-7</option>
<option value="claude-opus-4-6">claude-opus-4-6</option>
<option value="glm-5.2">glm-5.2</option>
<option value="gpt-5.5">gpt-5.5</option>
</select>
</div>
</div>
</div>
</header>
<!-- Chat Console -->
<main id="chat-container" class="flex-1 overflow-y-auto p-4 space-y-4 max-w-4xl mx-auto w-full">
<div class="bg-gray-800 rounded-lg p-4 border border-gray-700 text-gray-300 text-sm">
<p class="font-semibold text-white mb-1">CORS & WAF Bypassed Workspace</p>
<p class="text-xs">ZIP archives, python/js documents, aur images upload karein. ZIP files browser mein hi automatically extract ho kar readable XML codeblocks mein tabdeel ho jayengi taake AI poore code ko dekh sake.</p>
</div>
<div id="file-preview-area" class="flex flex-wrap gap-2"></div>
</main>
<!-- Controls Input -->
<footer class="bg-gray-800 border-t border-gray-700 p-4">
<div class="max-w-4xl mx-auto flex flex-col gap-3">
<div class="flex items-center gap-4">
<label class="cursor-pointer bg-gray-700 hover:bg-gray-600 text-xs text-gray-300 px-3 py-1.5 rounded border border-gray-600 flex items-center gap-1.5">
<span>📎</span> Attach Files / ZIPs / Images
<input type="file" id="file-input" multiple class="hidden">
</label>
<span id="attached-count" class="text-xs text-gray-400">No files attached</span>
</div>
<div class="flex gap-3">
<input type="text" id="user-input" placeholder="Type a message..."
class="flex-1 bg-gray-700 border border-gray-600 rounded px-4 py-3 text-white placeholder-gray-400 focus:outline-none focus:ring-2 focus:ring-blue-500">
<button id="send-btn" class="bg-blue-600 hover:bg-blue-700 text-white font-medium px-6 py-3 rounded transition">
Send
</button>
</div>
</div>
</footer>
<script>
const API_KEY = "sk-P7JoqWr5SriePQgq1ijtiGxkL5elV4C84xtqL2MoNQpi1uLs";
const chatContainer = document.getElementById("chat-container");
const userInput = document.getElementById("user-input");
const sendBtn = document.getElementById("send-btn");
const modelSelect = document.getElementById("model-select");
const fileInput = document.getElementById("file-input");
const filePreviewArea = document.getElementById("file-preview-area");
const attachedCount = document.getElementById("attached-count");
const hfUrlContainer = document.getElementById("hf-url-container");
const hfUrlInput = document.getElementById("hf-url-input");
let conversationHistory = [];
let pendingFilesData = [];
// Check if index.html is loaded as local file or hosted directly
const isLocal = window.location.protocol === "file:" || window.location.hostname === "localhost" || window.location.hostname === "127.0.0.1";
if (isLocal) {
hfUrlContainer.classList.remove("hidden"); // Show URL field if run as offline file
}
const isTextFile = (name) => /\.(txt|py|js|jsx|ts|tsx|html|css|json|csv|md|yaml|yml|rs|go|java|c|cpp|h|sh|bat)$/i.test(name);
const isImageFile = (name) => /\.(png|jpg|jpeg|webp|gif)$/i.test(name);
const toBase64 = file => new Promise((resolve, reject) => {
const reader = new FileReader();
reader.readAsDataURL(file);
reader.onload = () => resolve(reader.result);
reader.onerror = error => reject(error);
});
// Smart file handler for ZIPs and documents
fileInput.addEventListener("change", async (e) => {
const files = e.target.files;
for (let file of files) {
try {
if (file.name.endsWith(".zip")) {
const zip = await JSZip.loadAsync(file);
let extractedText = "";
for (let relativePath in zip.files) {
const zipFile = zip.files[relativePath];
if (!zipFile.dir && isTextFile(relativePath)) {
const content = await zipFile.async("string");
// Wrap contents in XML style tags so models can process structures correctly
extractedText += `\n<file path="${relativePath}">\n${content}\n</file>\n`;
}
}
pendingFilesData.push({
type: "text_data",
name: file.name,
content: `User uploaded a ZIP file named "${file.name}" with the following file structures inside:\n${extractedText}`
});
} else if (isTextFile(file.name)) {
const text = await file.text();
pendingFilesData.push({
type: "text_data",
name: file.name,
content: `\n<file path="${file.name}">\n${text}\n</file>\n`
});
} else if (isImageFile(file.name)) {
const base64Str = await toBase64(file);
pendingFilesData.push({
type: "image_data",
name: file.name,
content: base64Str
});
} else {
// Fallback plain text read
const text = await file.text();
pendingFilesData.push({
type: "text_data",
name: file.name,
content: `\n<file path="${file.name}">\n${text}\n</file>\n`
});
}
} catch (err) {
alert(`Could not process/read file: ${file.name}`);
}
}
updatePreviewUI();
});
function updatePreviewUI() {
filePreviewArea.innerHTML = "";
attachedCount.textContent = `${pendingFilesData.length} files attached`;
pendingFilesData.forEach((file, index) => {
const badge = document.createElement("div");
badge.className = "bg-gray-800 text-xs px-2.5 py-1 rounded border border-gray-700 flex items-center gap-1.5";
badge.innerHTML = `
<span class="text-gray-400">${file.type === 'image_data' ? '🖼️' : '📄'} ${file.name}</span>
<button class="text-red-400 font-bold ml-1 hover:text-red-300" onclick="removeFile(${index})">×</button>
`;
filePreviewArea.appendChild(badge);
});
}
window.removeFile = (index) => {
pendingFilesData.splice(index, 1);
updatePreviewUI();
}
function appendMessage(role, text) {
const messageDiv = document.createElement("div");
messageDiv.className = `flex ${role === 'user' ? 'justify-end' : 'justify-start'}`;
const innerDiv = document.createElement("div");
innerDiv.className = `max-w-[85%] rounded-lg px-4 py-3 ${
role === 'user'
? 'bg-blue-600 text-white rounded-br-none'
: 'bg-gray-800 text-gray-200 border border-gray-700 rounded-bl-none'
}`;
innerDiv.style.whiteSpace = 'pre-wrap';
innerDiv.textContent = text;
messageDiv.appendChild(innerDiv);
chatContainer.appendChild(messageDiv);
chatContainer.scrollTop = chatContainer.scrollHeight;
return innerDiv;
}
async function handleSend() {
let apiEndpointUrl = "/v1/chat/completions";
if (isLocal) {
const customHfUrl = hfUrlInput.value.trim().replace(/\/$/, "");
if (!customHfUrl) {
alert("Pehle apna Hugging Face Space URL enter karein!");
return;
}
apiEndpointUrl = `${customHfUrl}/v1/chat/completions`;
}
const textInputVal = userInput.value.trim();
if (!textInputVal && pendingFilesData.length === 0) return;
let textPayload = textInputVal;
let imagePayloads = [];
pendingFilesData.forEach(file => {
if (file.type === "text_data") {
textPayload += `\n\n${file.content}`;
} else if (file.type === "image_data") {
imagePayloads.push(file.content);
}
});
appendMessage("user", textInputVal || "Attached files context uploaded");
userInput.value = "";
pendingFilesData = [];
updatePreviewUI();
// Construct payload content shape
let messageContent;
if (imagePayloads.length > 0) {
messageContent = [{ type: "text", text: textPayload }];
imagePayloads.forEach(imgBase64 => {
messageContent.push({
type: "image_url",
image_url: { url: imgBase64 }
});
});
} else {
messageContent = textPayload;
}
conversationHistory.push({ role: "user", content: messageContent });
const assistantBubble = appendMessage("assistant", "Generating answer...");
assistantBubble.textContent = "";
try {
const response = await fetch(apiEndpointUrl, {
method: "POST",
headers: {
"Content-Type": "application/json",
"Authorization": `Bearer ${API_KEY}`
},
body: JSON.stringify({
model: modelSelect.value,
messages: conversationHistory,
stream: true
})
});
if (!response.ok) {
throw new Error(`HTTP Error: ${response.status}`);
}
const reader = response.body.getReader();
const decoder = new TextDecoder("utf-8");
let buffer = "";
let completeResponse = "";
while (true) {
const { value, done } = await reader.read();
if (done) break;
buffer += decoder.decode(value, { stream: true });
const lines = buffer.split("\n");
buffer = lines.pop();
for (const line of lines) {
const cleanLine = line.trim();
if (cleanLine.startsWith("data: ")) {
const dataStr = cleanLine.slice(6);
if (dataStr === "[DONE]") break;
try {
const parsed = JSON.parse(dataStr);
const content = parsed.choices[0].delta.content;
if (content) {
completeResponse += content;
assistantBubble.textContent = completeResponse;
chatContainer.scrollTop = chatContainer.scrollHeight;
}
} catch (e) {}
}
}
}
conversationHistory.push({ role: "assistant", content: completeResponse });
} catch (error) {
console.error(error);
assistantBubble.textContent = `Error: ${error.message}. Connection lost or HF space is paused.`;
assistantBubble.classList.add("text-red-400");
}
}
sendBtn.addEventListener("click", handleSend);
userInput.addEventListener("keydown", (e) => {
if (e.key === "Enter") handleSend();
});
</script>
</body>
</html>