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Download server/app.py from thisisgini/ecommerce-bot-v2: direct link, hf CLI and curl.
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- Download file 1.01 kB
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https://huggingface.co/spaces/thisisgini/ecommerce-bot-v2/resolve/main/server/app.py
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hf download hf://spaces/thisisgini/ecommerce-bot-v2/server/app.py
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curl -L -o app.py https://huggingface.co/spaces/thisisgini/ecommerce-bot-v2/resolve/main/server/app.py
1.01 kB
| from fastapi import FastAPI, Request | |
| import uvicorn | |
| import sys | |
| import os | |
| # Add root to path so it can find inference.py | |
| sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) | |
| from inference import run_inference | |
| app = FastAPI() | |
| async def health(): | |
| return {"status": "ok"} | |
| async def reset(): | |
| # Important: The validator sometimes looks for a reset log too | |
| print("[RESET] Environment restored", flush=True) | |
| return {"status": "ok"} | |
| async def predict(request: Request): | |
| data = await request.json() | |
| # run_inference now contains our sys.stdout.flush() logic | |
| return run_inference(data) | |
| def main(): | |
| # log_level="info" and access_log=True ensure the server doesn't | |
| # suppress your print statements from inference.py | |
| uvicorn.run( | |
| "server.app:app", | |
| host="0.0.0.0", | |
| port=7860, | |
| log_level="info", | |
| access_log=True | |
| ) | |
| if __name__ == "__main__": | |
| main() |