Update app.py
Browse files
app.py
CHANGED
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@@ -6,6 +6,12 @@ import zipfile
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from pathlib import Path
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import gradio as gr
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from huggingface_hub import InferenceClient
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# --------------------------- الإعدادات ---------------------------
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ALLOWED_EXTENSIONS = {
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@@ -40,6 +46,7 @@ class ProjectTank:
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shutil.copy(f.name, dest)
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self._reload_memory()
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return f"🚀 تم تحميل {len(self.files_cache)} ملف بنجاح.", list(self.files_cache.keys())
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def _reload_memory(self):
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@@ -100,6 +107,50 @@ class ProjectTank:
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out_path = tempfile.mktemp()
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shutil.make_archive(out_path, 'zip', self.work_dir)
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return out_path + ".zip"
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tank = ProjectTank()
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client = InferenceClient(api_key=HF_TOKEN) if HF_TOKEN else None
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@@ -164,55 +215,131 @@ def apply_and_preview(history):
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# --------------------------- الواجهة ---------------------------
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gr.Markdown("# 🛡️ AI Tank IDE Pro (V2)\n**بيئة تطوير ذكية مع رؤية كاملة للهيكل**")
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active_file = gr.State()
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send = gr.Button("إرسال", variant="primary")
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apply = gr.Button("⚡ تطبيق التعديلات", variant="stop")
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export_btn = gr.DownloadButton("📥 تصدير المشروع النهائي", variant="secondary")
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with gr.Column(scale=2):
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with gr.Tabs():
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with gr.TabItem("🌐 المعاينة المباشرة"):
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preview = gr.HTML(value="<div style='text-align:center; padding:50px;'>ارفع مشروعك لبدء المعاينة</div>")
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with gr.TabItem("📝 محرر الكود"):
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editor = gr.Code(label="محتوى الملف", lines=25, interactive=True)
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save_manual = gr.Button("💾 حفظ التعديل اليدوي", size="sm")
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# --- ربط الأحداث ---
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if __name__ == "__main__":
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from pathlib import Path
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import gradio as gr
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from huggingface_hub import InferenceClient
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from flask import Flask, send_from_directory, render_template_string, request
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from watchdog.observers import Observer
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from watchdog.events import FileSystemEventHandler
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import tornado.ioloop
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import tornado.web
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import tornado.websocket
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# --------------------------- الإعدادات ---------------------------
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ALLOWED_EXTENSIONS = {
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shutil.copy(f.name, dest)
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self._reload_memory()
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self._start_live_preview()
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return f"🚀 تم تحميل {len(self.files_cache)} ملف بنجاح.", list(self.files_cache.keys())
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def _reload_memory(self):
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out_path = tempfile.mktemp()
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shutil.make_archive(out_path, 'zip', self.work_dir)
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return out_path + ".zip"
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def _start_live_preview(self):
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class PreviewHandler(tornado.web.RequestHandler):
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def get(self):
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entry = next((f for f in ["index.html", "main.html"] if f in tank.files_cache),
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next((f for f in tank.files_cache if f.endswith('.html')), None))
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if not entry:
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self.write("<div style='text-align:center; padding:50px;'>⚠️ لم يتم العثور على ملف HTML للمعاينة</div>")
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return
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self.write(tank.files_cache[entry])
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class WebSocketHandler(tornado.websocket.WebSocketHandler):
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clients = set()
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def open(self):
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WebSocketHandler.clients.add(self)
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def on_close(self):
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WebSocketHandler.clients.remove(self)
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@classmethod
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def send_update(cls, message):
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for client in cls.clients:
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client.write_message(message)
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class Watcher(FileSystemEventHandler):
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def on_modified(self, event):
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if event.is_directory: return
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if Path(event.src_path).suffix in ALLOWED_EXTENSIONS:
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tank._reload_memory()
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message = tank.build_preview()
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WebSocketHandler.send_update(message)
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self.watcher = Observer()
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self.watcher.schedule(Watcher(), self.work_dir, recursive=True)
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self.watcher.start()
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self.server = tornado.web.Application([
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(r"/preview", PreviewHandler),
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(r"/ws", WebSocketHandler),
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])
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self.server.listen(8888)
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tornado.ioloop.IOLoop.current().start()
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tank = ProjectTank()
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client = InferenceClient(api_key=HF_TOKEN) if HF_TOKEN else None
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# --------------------------- الواجهة ---------------------------
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app = Flask(__name__)
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@app.route('/upload', methods=['POST'])
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def upload_file():
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files = request.files.getlist('files[]')
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log, choices = tank.sync_files(files)
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return log
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@app.route('/files/<path:filename>')
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def get_file(filename):
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path = os.path.join(tank.work_dir, filename)
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return send_from_directory(tank.work_dir, filename)
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@app.route('/project')
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def get_project_structure():
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return {"structure": tank.structure}
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@app.route('/preview')
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def serve_preview():
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entry = next((f for f in ["index.html", "main.html"] if f in tank.files_cache),
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next((f for f in tank.files_cache if f.endswith('.html')), None))
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if not entry:
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return "⚠️ لم يتم العثور على ملف HTML للمعاينة"
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return render_template_string(tank.files_cache[entry])
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@app.route('/chat', methods=['POST'])
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def chat_endpoint():
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message = request.form['message']
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history = request.form.get('history', [])
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if not client:
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history.append({"role": "assistant", "content": "⚠️ مفقود HF_TOKEN"})
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return str(history)
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context = f"### PROJECT STRUCTURE ###\n{tank.structure}\n\n"
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context += "### FULL FILE CONTENTS ###\n"
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for name, content in tank.files_cache.items():
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context += f"--- FILE: {name} ---\n{content}\n"
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system_instr = (
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"You are an expert AI IDE. Your goal is to help the user build and debug their project.\n"
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"1. Analyze the project structure to understand how files interact.\n"
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"2. Provide clear explanations.\n"
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"3. When modifying code, use the format: [TARGET: filename] followed by a code block.\n"
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"4. Always output the FULL content of the file in the code block."
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)
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messages = [{"role": "system", "content": system_instr}]
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for m in history:
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messages.append({"role": m["role"], "content": str(m)})
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messages.append({"role": "user", "content": f"{context}\n\nTask: {message}"})
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response = ""
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history.append({"role": "user", "content": message})
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history.append({"role": "assistant", "content": ""})
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try:
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stream = client.chat_completion(model=MODEL_ID, messages=messages, max_tokens=6000, stream=True)
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for chunk in stream:
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if hasattr(chunk, 'choices') and chunk.choices and len(chunk.choices) > 0:
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token = chunk.choices[0].delta.content
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if token:
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response += token
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history[-1]["content"] = response
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return str(history)
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except Exception as e:
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history[-1]["content"] = f"❌ خطأ في السيرفر: {str(e)}"
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return str(history)
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@app.route('/apply', methods=['POST'])
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def apply_endpoint():
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history = request.form.get('history', [])
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if not history: return "لا توجد بيانات"
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content = history[-1]["content"]
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matches = re.findall(r"\[TARGET:\s*(.*?)\]\s*```.*?\n(.*?)```", content, re.DOTALL | re.IGNORECASE)
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if not matches:
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return "⚠️ لم يتم اكتشاف ملفات للتحديث."
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for filename, code in matches:
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tank.update_file_content(filename.strip(), code.strip())
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return "✅ تم تحديث الملفات وحقن المعاينة بنجاح!"
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@app.route('/export')
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def export_project():
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return send_from_directory(Path(tank.export_project()).parent, Path(tank.export_project()).name)
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@app.route('/')
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def serve_index():
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return """
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<div>
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<h1>AI Tank IDE Pro</h1>
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<a href="/preview">معاينة المشروع</a><br/>
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<input type="file" id="files" name="files[]" multiple />
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<button onclick="uploadFiles()">ارفع المشروع</button>
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<div id="status">جاهز للعمل</div>
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<div id="preview" style="margin-top: 20px;"></div>
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</div>
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<script>
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function uploadFiles() {
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const formData = new FormData();
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const fileInput = document.getElementById('files');
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Array.from(fileInput.files).forEach(file => {
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formData.append('files[]', file);
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});
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fetch('/upload', { method: 'POST', body: formData })
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.then(response => response.text())
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.then(log => {
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document.getElementById('status').innerText = log;
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if (log.includes('تم تحميل')) {
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fetch('/preview')
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.then(res => res.text())
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.then(html => {
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document.getElementById('preview').innerHTML = html;
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});
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}
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});
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}
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</script>
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"""
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if __name__ == "__main__":
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tank = ProjectTank()
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client = InferenceClient(api_key=HF_TOKEN) if HF_TOKEN else None
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app.run(host='0.0.0.0', port=5000)
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