main.py deleted

main.py

@@ -1,51 +0,0 @@
-from fastapi import FastAPI, HTTPException, Query
-import pandas as pd
-import joblib
-
-app = FastAPI()
-
-# Load the sepsis prediction model
-model = joblib.load('XGB.joblib')
-
-@app.get("/")
-async def read_root():
-    return {"message": "Sepsis Prediction API using FastAPI"}
-
-def classify(prediction):
-    if prediction == 0:
-        return "Patient does not have sepsis"
-    else:
-        return "Patient has sepsis"
-
-@app.get("/predict/")
-async def predict_sepsis(
-    prg: float = Query(..., description="Plasma glucose"),
-    pl: float = Query(..., description="Blood Work Result-1 (mu U/ml)"),
-    pr: float = Query(..., description="Blood Pressure (mm Hg)"),
-    sk: float = Query(..., description="Blood Work Result-2 (mm)"),
-    ts: float = Query(..., description="Blood Work Result-3 (mu U/ml)"),
-    m11: float = Query(..., description="Body mass index (weight in kg/(height in m)^2"),
-    bd2: float = Query(..., description="Blood Work Result-4 (mu U/ml)"),
-    age: int = Query(..., description="Patient's age (years)")
-):
-    input_data = [prg, pl, pr, sk, ts, m11, bd2, age]
-
-    input_df = pd.DataFrame([input_data], columns=[
-        "Plasma glucose", "Blood Work Result-1", "Blood Pressure",
-        "Blood Work Result-2", "Blood Work Result-3",
-        "Body mass index", "Blood Work Result-4", "Age"
-    ])
-
-    pred = model.predict(input_df)
-    output = classify(pred[0])
-
-    response = {
-        "prediction": output
-    }
-
-    return response
-
-# Run the app using Uvicorn
-if __name__ == "__main__":
-    import uvicorn
-    uvicorn.run(app, host="127.0.0.1", port=7860)