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import gradio as gr
from api import app as fastapi_app
import uvicorn
import threading
import time
import os
import logging
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import RedirectResponse
# Configure logging
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
logger = logging.getLogger(__name__)
# Create a Gradio app that will also host the FastAPI app
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:
- `/api/upload` - Upload documents
- `/api/ask` - Ask questions about uploaded documents
- `/api/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='/api/docs' target='_blank'>View FastAPI Docs</a>")
return interface
# Create a new FastAPI app that will mount both the original FastAPI app and the Gradio app
app = FastAPI()
# Mount the original FastAPI app under the /api prefix
logger.info("Mounting FastAPI app at /api")
app.mount("/api", fastapi_app)
# Create the Gradio interface
logger.info("Creating Gradio interface")
interface = create_interface()
# Gradio blocks to FastAPI app
logger.info("Mounting Gradio app at /")
app = gr.mount_gradio_app(app, interface, path="/")
# When running directly, start the app
if __name__ == "__main__":
logger.info("Starting server on port 7860")
uvicorn.run(app, host="0.0.0.0", port=7860, log_level="info")
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