Upload 3 files

app.py

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+from fastapi import FastAPI
+import joblib
+import numpy as np
+
+app = FastAPI()
+model = joblib.load("diabetes_prediction_model.joblib")
+
+@app.get("/")
+def home():
+    return {"message": "Diabetes Prediction API"}
+
+@app.post("/predict")
+def predict(data: dict):
+    features = np.array(list(data.values())).reshape(1, -1)
+    prediction = int(model.predict(features)[0])
+    return {"prediction": prediction}

diabetes_prediction_model.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0d44c927b8b3dfdd2ec20cbf0b166043360ff760048eb8bf2cae090593e33237
+size 28011

requirements.txt

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+fastapi
+uvicorn
+scikit-learn
+joblib
+numpy