Delete app.py

app.py

@@ -1,28 +0,0 @@
-from fastapi import FastAPI
-from transformers import pipeline
-import torch
-from pydantic import BaseModel
-
-app = FastAPI()
-
-# Disable xformers if needed
-torch.backends.cuda.enable_flash_sdp(False)
-torch.backends.cuda.enable_mem_efficient_sdp(False)
-
-# Load model
-model = pipeline(
-    "text-classification",
-    model="win2win/3-epochs-classifier-ver2",
-    device="cuda" if torch.cuda.is_available() else "cpu"
-)
-
-class Request(BaseModel):
-    text: str
-
-@app.post("/predict")
-async def predict(request: Request):
-    return model(request.text)
-
-if __name__ == "__main__":
-    import uvicorn
-    uvicorn.run(app, host="0.0.0.0", port=8000)