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Dockerfile

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+
+FROM python:3.10-slim
+WORKDIR /app
+COPY app.py .
+COPY best_model.pkl .
+COPY requirements.txt .
+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 joblib
+import pandas as pd
+
+# Load model
+model = joblib.load("best_model.pkl")
+
+# Initialize app
+app = Flask(__name__)
+
+@app.route("/", methods=["GET"])
+def root():
+    return jsonify({"message": "Sales Forecasting API is live!"})
+
+@app.route("/predict", methods=["POST"])
+def predict():
+    try:
+        input_data = request.get_json()
+        input_df = pd.DataFrame([input_data])
+        prediction = model.predict(input_df)[0]
+        return jsonify({"predicted_sales": round(prediction, 2)})
+    except Exception as e:
+        return jsonify({"error": str(e)}), 400
+
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", port=7860)

requirements.txt

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+flask==3.0.2
+joblib==1.4.2
+pandas==2.2.2
+scikit-learn==1.6.1
+xgboost==2.1.4