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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 --upgrade -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:superkart_api"]

X_test.csv

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+Product_Weight,Product_Allocated_Area,Product_MRP,Store_Establishment_Year,Product_Sugar_Content_No Sugar,Product_Sugar_Content_Regular,Product_Type_Breads,Product_Type_Breakfast,Product_Type_Canned,Product_Type_Dairy,Product_Type_Frozen Foods,Product_Type_Fruits and Vegetables,Product_Type_Hard Drinks,Product_Type_Health and Hygiene,Product_Type_Household,Product_Type_Meat,Product_Type_Others,Product_Type_Seafood,Product_Type_Snack Foods,Product_Type_Soft Drinks,Product_Type_Starchy Foods,Store_Id_OUT002,Store_Id_OUT003,Store_Id_OUT004,Store_Size_Medium,Store_Size_Small,Store_Location_City_Type_Tier 2,Store_Location_City_Type_Tier 3,Store_Type_Food Mart,Store_Type_Supermarket Type1,Store_Type_Supermarket Type2
+12.53,0.066,145.62,2009,False,True,False,False,False,False,False,False,False,False,False,False,False,False,True,False,False,False,False,True,True,False,True,False,False,False,True
+13.29,0.086,135.99,2009,False,False,False,False,True,False,False,False,False,False,False,False,False,False,False,False,False,False,False,True,True,False,True,False,False,False,True
+9.99,0.09,125.79,1987,False,True,False,False,False,False,False,True,False,False,False,False,False,False,False,False,False,False,False,False,False,False,True,False,False,True,False
+10.72,0.049,92.94,1998,True,False,False,False,False,False,False,False,False,True,False,False,False,False,False,False,False,True,False,False,False,True,False,True,True,False,False

app.py

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+# Import necessary libraries
+import numpy as np
+import joblib  # For loading the serialized model
+import pandas as pd  # For data manipulation
+from flask import Flask, request, jsonify  # For creating the Flask API
+
+superkart_api = Flask(__name__)
+
+model = joblib.load('superkart.joblib')
+
+@superkart_api.get('/')
+def home():
+    return "Welcome to the SuperKart Sales Prediction API!"
+
+@superkart_api.post('/predict')
+def predict():
+    """
+    API endpoint to predict sales using the trained model.
+    Expects a JSON payload with the features required by the model.
+    """
+    try:
+        # Get JSON data from request
+        data = request.get_json()
+
+        # Convert JSON data to DataFrame
+        input_data = pd.DataFrame([data])
+
+        # Make prediction using the loaded model
+        prediction = model.predict(input_data)
+
+        # Return the prediction as JSON
+        return jsonify({'predicted_sales': prediction[0]})
+
+    except Exception as e:
+        return jsonify({'error': str(e)}), 400
+
+@superkart_api.post('/predict/batch')
+def predict_batch():
+    """
+    API endpoint to predict sales for a batch of inputs using the trained model.
+    Expects a JSON payload with a list of feature dictionaries.
+    """
+    try:
+        file = request.files['file']
+
+        # Read the CSV file into a Pandas DataFrame
+        input_data = pd.read_csv(file)
+
+        # Make predictions using the loaded model
+        predictions = model.predict(input_data)
+
+        # Return the predictions as JSON
+        return jsonify({'predicted_sales': predictions.tolist()})
+
+    except Exception as e:
+        return jsonify({'error': str(e)}), 400
+
+if __name__ == '__main__':
+    superkart_api.run(host='0.0.0.0', port=5001, 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]
+streamlit==1.43.2

superkart.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:eab8a459bddc5a7f7ef4714723816c9b493fc79be50361b9ce8bf474a93f3374
+size 2772361