Add model,pipeline,and requirements

model.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:aa8d861f56ce8f4a6d2b26ec201dfc436450b8ce791983242ac88658cb7d9a1a
+size 184161

pipeline.py

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+import joblib
+import pandas as pd
+
+class Pipeline:
+    def __init__(self):
+        # Load the trained model once when the API starts
+        self.model = joblib.load("model.joblib")
+
+    def __call__(self, inputs):
+        """
+        inputs: List[dict] containing feature names and values
+        Example:
+        [
+            {"pH": 7.2, "Hardness": 200, "Chloramines": 8.1, ...}
+        ]
+        """
+        # Convert JSON list into DataFrame
+        df = pd.DataFrame(inputs)
+        predictions = self.model.predict(df)
+        return {"predictions": predictions.tolist()}

requirements.txt

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+pandas
+scikit-learn
+joblib