Upload linear regression model

app.py

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+from fastapi import FastAPI
+import joblib
+import numpy as np
+
+# Load your model
+model = joblib.load("linear_regression_model.joblib")
+
+app = FastAPI()
+
+@app.post("/predict")
+def predict(input_data: list):
+    # Convert input to numpy array and reshape if necessary
+    input_array = np.array(input_data).reshape(1, -1)  # Adjust the shape based on your model's input
+    prediction = model.predict(input_array)
+    return {"prediction": prediction.tolist()}