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app.py
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@@ -2,6 +2,7 @@ import streamlit as st
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import requests
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import pandas as pd
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import json
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st.title("SuperKart Sales Forecasting")
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@@ -35,6 +36,12 @@ input_data = {
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'Store_Type': store_type
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}
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# Button to trigger prediction
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if st.button("Predict Sales"):
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# Hugging Face proxy URL for Flask backend
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import requests
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import pandas as pd
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import json
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from datetime import datetime
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st.title("SuperKart Sales Forecasting")
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'Store_Type': store_type
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}
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# Add feature engineering for Product_Category and Store_Age
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current_year = datetime.now().year
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input_data['Store_Age'] = current_year - input_data['Store_Establishment_Year']
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input_data['Product_Category'] = input_data['Product_Id'][:2]
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# Button to trigger prediction
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if st.button("Predict Sales"):
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# Hugging Face proxy URL for Flask backend
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