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Create app.py
Browse files
app.py
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import gradio as gr
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from fastapi import FastAPI, Request, Response
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from fastapi.middleware.cors import CORSMiddleware
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from pydantic import BaseModel
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import threading
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# ---------- FastAPI Setup ----------
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app = FastAPI()
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# Allow CORS for your Bubble frontend
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app.add_middleware(
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CORSMiddleware,
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allow_origins=['https://your-bubble-app.com'], # Replace with your actual Bubble app domain
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allow_methods=['POST'],
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allow_headers=['*'],
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allow_credentials=True,
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)
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# State to track if token is received
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token_received = {"status": False}
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# Data model for incoming POST
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class TokenIn(BaseModel):
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accessToken: str
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@app.post('/api/set_token')
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async def set_token(payload: TokenIn, response: Response):
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token_received["status"] = True
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session_token = payload.accessToken
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response.set_cookie(
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key='session_token',
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value=session_token,
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httponly=True,
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secure=True,
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samesite='none',
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domain='your-gradio-app.com', # Replace with your actual domain if needed
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max_age=3600,
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path='/'
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)
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return {'status': 'ok'}
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# ---------- Gradio UI ----------
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def check_status():
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return "✅ Code received" if token_received["status"] else "❌ Code not received"
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with gr.Blocks() as demo:
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status_box = gr.Textbox(value=check_status(), label="Token Status", interactive=False)
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refresh_btn = gr.Button("Refresh")
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refresh_btn.click(fn=check_status, outputs=status_box)
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# Mount Gradio inside FastAPI
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import gradio as gr
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from fastapi.middleware.wsgi import WSGIMiddleware
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from gradio.routes import App as GradioApp
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gradio_app = gr.mount_gradio_app(app, demo, path="/")
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# This is what Hugging Face Spaces expects to run
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=7860)
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