Upload 3 files

DockerFile

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+FROM python:3.9
+
+WORKDIR /app
+
+COPY . .
+
+RUN pip install --no-cache-dir -r requirements.txt
+
+EXPOSE 7860
+
+CMD ["python", "app.py"]

app.py

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+from flask import Flask, request, jsonify
+import pickle
+import numpy as np
+
+app = Flask(__name__)
+
+# Load model
+with open("xgb_superkart_model.pkl", "rb") as f:
+    model = pickle.load(f)
+
+@app.route("/")
+def home():
+    return "SuperKart Sales Forecast API is Live"
+
+@app.route("/predict", methods=["POST"])
+def predict():
+    data = request.get_json(force=True)
+    input_features = np.array(data["features"]).reshape(1, -1)
+    prediction = model.predict(input_features)
+    return jsonify({"predicted_sales": prediction[0]})
+
+if __name__ == "__main__":
+    app.run(host='0.0.0.0', port=7860)

requirements.txt

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+flask
+scikit-learn
+numpy
+pandas