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Browse files- app.py +1 -1
- requirements.txt +0 -6
app.py
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@@ -15,7 +15,7 @@ product_allocated_area = st.number_input("Product Allocated Area", min_value=0.0
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product_type = st.selectbox("Product Type", ["Frozen Foods", "Dairy", "Canned", "Baking Goods", "Health and Hygiene",
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"Snack Foods", "Meat", "Household", "Hard Drinks", "Fruits and Vegetables",
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"Breads", "Soft Drinks", "Breakfast", "Others", "Starchy Foods", "Seafood"])
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product_mrp = st.number_input("Product MRP", min_value=31.0, max_value=266.0, step=5, value=50.0)
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store_id = st.selectbox("Store Id ", ["OUT001", "OUT002", "OUT003", "OUT004"])
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store_establishment_year = st.selectbox("Store Establishment Year ", ["1987", "1998", "1999", "2009"])
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store_size = st.selectbox("Store Size ", ["Small", "Medium", "High"])
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product_type = st.selectbox("Product Type", ["Frozen Foods", "Dairy", "Canned", "Baking Goods", "Health and Hygiene",
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"Snack Foods", "Meat", "Household", "Hard Drinks", "Fruits and Vegetables",
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"Breads", "Soft Drinks", "Breakfast", "Others", "Starchy Foods", "Seafood"])
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product_mrp = st.number_input("Product MRP", min_value=31.0, max_value=266.0, step=5.0, value=50.0)
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store_id = st.selectbox("Store Id ", ["OUT001", "OUT002", "OUT003", "OUT004"])
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store_establishment_year = st.selectbox("Store Establishment Year ", ["1987", "1998", "1999", "2009"])
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store_size = st.selectbox("Store Size ", ["Small", "Medium", "High"])
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requirements.txt
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@@ -1,11 +1,5 @@
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pandas==2.2.2
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numpy==2.0.2
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requests==2.32.3
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pandas==2.2.2
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numpy==2.0.2
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scikit-learn==1.6.1
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streamlit==1.43.2
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gunicorn==20.1.0
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uvicorn[standard]
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huggingface_hub==0.30.1
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Werkzeug==2.2.2
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pandas==2.2.2
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numpy==2.0.2
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requests==2.32.3
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streamlit==1.43.2
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gunicorn==20.1.0
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