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Dockerfile

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+FROM python:3.9-slim
+
+# Set the working directory inside the container
+WORKDIR /app
+
+# Copy all files from the current directory to the container's working directory
+COPY . .
+
+# Install dependencies from the requirements file without using cache to reduce image size
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Define the command to start the application using Gunicorn with 4 worker processes
+# - `-w 4`: Uses 4 worker processes for handling requests
+# - `-b 0.0.0.0:7860`: Binds the server to port 7860 on all network interfaces
+# - `app:app`: Runs the Flask app (assuming `app.py` contains the Flask instance named `app`)
+CMD ["gunicorn", "-w", "4", "-b", "0.0.0.0:7860", "app:app"]

app.py

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+import joblib
+import pandas as pd
+from flask import Flask, request, jsonify
+
+app = Flask("Superkart Sales Predictor")
+model = joblib.load("superkart.joblib")
+
+@app.get('/')
+def home():
+  return "Welcome to the Superkart Sales Predictor API"
+
+@app.post('/v1/sales')
+def predict_sales():
+  product_data = request.get_json()
+
+  sample = {
+        'Product_Type': product_data['Product_Type'],
+        'Product_Sugar_Content': product_data['Product_Sugar_Content'],
+        'Product_Weight': product_data['Product_Weight'],
+        'Product_Allocated_Area': product_data['Product_Allocated_Area'],
+        'Product_MRP': product_data['Product_MRP'],
+        'Store_Id': product_data['Store_Id'],
+        'Store_Size': product_data['Store_Size'],
+        'Store_Type': product_data['Store_Type'],
+        'Store_Location_City_Type': product_data['Store_Location_City_Type'],
+        'Store_Establishment_Year': product_data['Store_Establishment_Year']  
+  }
+  input_data = pd.DataFrame([sample])
+  input_data
+
+  prediction = model.predict(input_data).tolist()[0]
+  return jsonify({'prediction': prediction})
+
+if __name__ == '__main__':
+    app.run(debug=True)

requirements.txt

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+pandas==2.2.2
+numpy==2.0.2
+scikit-learn==1.6.1
+xgboost==2.1.4
+joblib==1.4.2
+Werkzeug==2.2.2
+flask==2.2.2
+gunicorn==20.1.0
+requests==2.28.1
+uvicorn[standard]