Update app.py

app.py

@@ -6,10 +6,8 @@ from fastapi import FastAPI, HTTPException
 from fastapi.middleware.cors import CORSMiddleware
 import os
 from dotenv import load_dotenv
-import gradio as gr
-import requests
-import asyncio
 from pydantic import BaseModel
+import requests
 
 load_dotenv()
 HUGGINGFACE_TOKEN = os.getenv("HUGGINGFACE_TOKEN")
@@ -106,28 +104,6 @@ async def generate(request: ChatRequest):
 
     return {"response": formatted_response}
 
-async def process_message(message, history):
-    try:
-        port = int(os.environ.get("PORT", 7860))
-        response = requests.post(f"http://localhost:{port}/generate", json={"message": message}).json()
-        formatted_response = response["response"]
-        history.append((message, formatted_response))
-        return history, ""
-    except requests.exceptions.RequestException as e:
-        return history, f"Error communicating with the backend: {e}"
-
-iface = gr.Interface(
-    fn=process_message,
-    inputs=[
-        gr.Textbox(lines=2, placeholder="Enter your message here..."),
-        gr.State([])
-    ],
-    outputs=[gr.Chatbot(), gr.Textbox(visible=False)],
-    title="Multi-Model LLM API",
-    description="Enter a message and get responses from multiple LLMs.",
-)
-
 if __name__ == "__main__":
     port = int(os.environ.get("PORT", 7860))
-    uvicorn.run(app, host="0.0.0.0", port=port)
-    iface.launch(server_port=7860)
+    uvicorn.run(app, host="0.0.0.0", port=port)