Upload backend files for SuperKart

Dockerfile

@@ -1,20 +1,12 @@
-FROM python:3.13.5-slim
+FROM python:3.9-slim
 
 WORKDIR /app
 
-RUN apt-get update && apt-get install -y \
-    build-essential \
-    curl \
-    git \
-    && rm -rf /var/lib/apt/lists/*
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
 
-COPY requirements.txt ./
-COPY src/ ./src/
+COPY . .
 
-RUN pip3 install -r requirements.txt
+EXPOSE 7860
 
-EXPOSE 8501
-
-HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
-
-ENTRYPOINT ["streamlit", "run", "src/streamlit_app.py", "--server.port=8501", "--server.address=0.0.0.0"]
+CMD ["python", "app.py"]

app.py

@@ -0,0 +1,47 @@
+
+import joblib
+import pandas as pd
+from flask import Flask, request, jsonify
+
+# Initialize Flask app with a clear name
+app = Flask("SuperKart Sales Forecaster")
+
+# Load the trained model
+model = joblib.load('model.joblib')
+
+# Define a route for the home page (Health Check)
+@app.route('/', methods=['GET'])
+def home():
+    return "Welcome to the SuperKart Sales Forecasting API!"
+
+# Define the prediction endpoint
+@app.route('/predict', methods=['POST'])
+def predict():
+    try:
+        # Get JSON data from the request
+        data = request.get_json()
+        
+        # Convert input to pandas DataFrame
+        if isinstance(data, dict):
+             df = pd.DataFrame([data])
+        else:
+             df = pd.DataFrame(data)
+
+        # Make prediction
+        prediction = model.predict(df)
+
+        # Return the result as JSON
+        return jsonify({
+            'status': 'success',
+            'prediction': prediction.tolist()
+        })
+        
+    except Exception as e:
+        return jsonify({
+            'status': 'error',
+            'message': str(e)
+        })
+
+# Run the app on port 7860 for Hugging Face Spaces
+if __name__ == '__main__':
+    app.run(host='0.0.0.0', port=7860)

model.joblib

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5f31600d3c9f8bfbfe6a09dd9a114a29b749b9c54d3b2d4012cec56fbbb8ede6
+size 39747074

requirements.txt

@@ -1,3 +1,5 @@
-altair
-pandas
-streamlit
+flask
+pandas==2.2.2
+scikit-learn==1.6.1
+joblib==1.4.2
+numpy==2.0.2