Delete main.py

main.py

@@ -1,41 +0,0 @@
-import threading
-import uvicorn
-import pandas as pd
-import pickle
-from fastapi import FastAPI
-
-# Initialize FastAPI app
-app = FastAPI()
-
-# Load the saved model
-def load_model():
-    try:
-        with open('model.pkl', 'rb') as file:
-            model = pickle.load(file)
-        return model
-    except Exception as e:
-        raise RuntimeError(f"Error loading model: {e}")
-
-model = load_model()
-
-# Define the FastAPI endpoint
-@app.post("/predict")
-async def predict_transaction(data: dict):
-    try:
-        # Convert the input data to a DataFrame
-        transaction_data = pd.DataFrame([data])
-        prediction = model.predict(transaction_data)
-
-        result = "Fraudulent transaction" if prediction[0] == 1 else "Acceptable transaction"
-        return {"prediction": result}
-    except Exception as e:
-        return {"error": str(e)}
-
-# Function to run the FastAPI server
-def run_fastapi():
-    uvicorn.run(app, host="0.0.0.0", port=8000)
-
-# Start the FastAPI server in a separate thread
-thread = threading.Thread(target=run_fastapi, daemon=True)
-thread.start()
-