Create app.py

app.py

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+import gradio as gr
+import openai
+import os
+import time
+from flask import Flask, request, jsonify
+from threading import Thread
+
+openai.api_key = os.getenv("OPENAI_API_KEY")
+assistant_id = os.getenv("OPENAI_ASSISTANT_ID")
+
+# Flask app for API
+flask_app = Flask(__name__)
+
+@flask_app.route("/chat", methods=["POST"])
+def chat():
+    user_input = request.json.get("message", "")
+    if not user_input:
+        return jsonify({"error": "Empty input"}), 400
+
+    try:
+        # Step 1: Create thread
+        thread = openai.beta.threads.create()
+        openai.beta.threads.messages.create(
+            thread_id=thread.id,
+            role="user",
+            content=user_input
+        )
+
+        # Step 2: Run assistant
+        run = openai.beta.threads.runs.create(
+            thread_id=thread.id,
+            assistant_id=assistant_id
+        )
+
+        # Step 3: Poll until done
+        while True:
+            status = openai.beta.threads.runs.retrieve(thread_id=thread.id, run_id=run.id)
+            if status.status == "completed":
+                break
+            elif status.status == "failed":
+                return jsonify({"error": "Run failed"}), 500
+            time.sleep(1)
+
+        # Step 4: Get response
+        messages = openai.beta.threads.messages.list(thread_id=thread.id)
+        for msg in reversed(messages.data):
+            if msg.role == "assistant":
+                return jsonify({"response": msg.content[0].text.value})
+
+        return jsonify({"response": "No reply."})
+    except Exception as e:
+        return jsonify({"error": str(e)}), 500
+
+# Gradio UI (optional, for testing)
+def chat_gradio(message):
+    response = chat().get_json()["response"]
+    return response
+
+# Mount Flask app in a background thread
+def launch_flask():
+    flask_app.run(host="0.0.0.0", port=7861)
+
+thread = Thread(target=launch_flask)
+thread.start()
+
+# Optional Gradio front-end (not used if only HTML talks to Flask)
+demo = gr.Interface(fn=chat_gradio, inputs="text", outputs="text", title="LOR Chat Assistant")
+demo.launch(server_name="0.0.0.0", server_port=7860, share=True)