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Upload 4 files
Browse files- Dockerfile +13 -0
- app.py +63 -0
- requirements.txt +8 -0
- superkart_best_model.pkl +3 -0
Dockerfile
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FROM python:3.9-slim
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WORKDIR /app
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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COPY . .
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EXPOSE 7860
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CMD ["python", "app.py"]
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app.py
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from flask import Flask, request, jsonify
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import joblib
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import pandas as pd
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import numpy as np
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app = Flask(__name__)
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# Load the trained model
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try:
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model = joblib.load('superkart_best_model.pkl')
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print("Model loaded successfully!")
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except Exception as e:
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print(f"Error loading model: {e}")
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model = None
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@app.route('/')
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def home():
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return jsonify({
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'message': 'SuperKart Sales Prediction API',
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'status': 'active',
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'endpoints': {
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'predict': '/predict (POST)',
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'health': '/health (GET)'
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}
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})
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@app.route('/predict', methods=['POST'])
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def predict():
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try:
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if model is None:
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return jsonify({'error': 'Model not loaded', 'status': 'error'}), 500
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# Get data from request
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data = request.get_json()
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# Create DataFrame from input
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df = pd.DataFrame([data])
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# Make prediction
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prediction = model.predict(df)[0]
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return jsonify({
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'predicted_sales': float(prediction),
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'input_data': data,
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'status': 'success'
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})
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except Exception as e:
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return jsonify({
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'error': str(e),
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'status': 'error'
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}), 400
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@app.route('/health', methods=['GET'])
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def health():
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return jsonify({
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'status': 'healthy',
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'model_loaded': model is not None
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})
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=7860, debug=True)
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requirements.txt
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flask==2.3.3
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pandas==1.5.3
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numpy==1.24.3
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scikit-learn==1.3.0
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joblib==1.3.2
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streamlit==1.28.0
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plotly==5.17.0
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superkart_best_model.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:f3eb5e0488c2478745f3230f0ab7e9ed02c8e7c3efc91bfa7a1242ad5b8f3341
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size 26038563
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