app.py

import gradio as gr
from api import app
import uvicorn
import threading
import time
import os
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import RedirectResponse

# FastAPI port - used internally
FASTAPI_PORT = 8000

# Create a simple Gradio interface
def create_interface():
    with gr.Blocks(title="ChatDocxAI Backend") as interface:
        gr.Markdown("# ChatDocxAI Backend")
        gr.Markdown(f"""
        This is the backend server for ChatDocxAI. It provides the following endpoints:
        
        - `/proxy/8000/upload` - Upload documents
        - `/proxy/8000/ask` - Ask questions about uploaded documents
        - `/proxy/8000/status` - Check API status
        
        The frontend should be configured to communicate with this backend.
        """)

        with gr.Row():
            with gr.Column():
                gr.Markdown("## Server Status")
                status = gr.Textbox(value="Server is running", label="Status")
                
        with gr.Row():
            with gr.Column():
                gr.Markdown("## API Documentation")
                doc_link = gr.HTML(f"<a href='/proxy/8000/docs' target='_blank'>View FastAPI Docs</a>")
    
    return interface

# Set up FastAPI to run on port 8000
def start_fastapi():
    uvicorn.run(app, host="0.0.0.0", port=FASTAPI_PORT)

# Start FastAPI in a separate thread
fastapi_thread = threading.Thread(target=start_fastapi)
fastapi_thread.daemon = True
fastapi_thread.start()

# Allow some time for FastAPI to start
time.sleep(2)

# Create and launch the Gradio interface
interface = create_interface()

# Launch the Gradio interface on the default Hugging Face Spaces port (7860)
if __name__ == "__main__":
    # Use the port specified by Hugging Face Spaces
    interface.launch(server_name="0.0.0.0")