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app.py
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@@ -8,20 +8,36 @@ st.title("SuperKart Sales Prediction")
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# Section for online prediction
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st.subheader("Sales Prediction")
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Product_Weight = st.number_input("Product Weight", min_value=
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Product_Sugar_Content = st.selectbox("Sugar Content", ["Low Sugar", "Regular", "No Sugar", "reg"])
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Product_Allocated_Area = st.number_input("Product Allocated area", value=0.144)
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Product_Type = st.selectbox("Product Type", ['Frozen Foods', 'Dairy', 'Canned', 'Baking Goods',
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'Health and Hygiene', 'Snack Foods', 'Meat', 'Household',
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'Hard Drinks', 'Fruits and Vegetables', 'Breads', 'Soft Drinks',
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'Breakfast', 'Others', 'Starchy Foods', 'Seafood'])
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Product_MRP = st.number_input("Product MRP", 171.43)
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Store_Id = st.selectbox("Select Store", ['OUT004', 'OUT003', 'OUT001', 'OUT002'])
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Store_Establishment_Year = st.number_input("Store Establishment year", 1999)
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Store_Size =
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Store_Location_City_Type = st.selectbox("Select Store Location", ['Tier 2', 'Tier 1', 'Tier 3'])
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Store_Type = st.selectbox("Store Type", ['Supermarket Type2', 'Departmental Store', 'Supermarket Type1',
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'Food Mart'])
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# Convert user input into a DataFrame
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# Section for online prediction
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st.subheader("Sales Prediction")
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#Product_Weight = st.number_input("Product Weight", min_value=0.00, value=16.54)
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#Product_Sugar_Content = st.selectbox("Sugar Content", ["Low Sugar", "Regular", "No Sugar", "reg"], value="")
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#Product_Allocated_Area = st.number_input("Product Allocated area", value=0.144)
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#Product_Type = st.selectbox("Product Type", ['Frozen Foods', 'Dairy', 'Canned', 'Baking Goods',
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#'Health and Hygiene', 'Snack Foods', 'Meat', 'Household',
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#'Hard Drinks', 'Fruits and Vegetables', 'Breads', 'Soft Drinks',
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#'Breakfast', 'Others', 'Starchy Foods', 'Seafood'])
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#Product_MRP = st.number_input("Product MRP", 171.43)
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#Store_Id = st.selectbox("Select Store", ['OUT004', 'OUT003', 'OUT001', 'OUT002'])
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#Store_Establishment_Year = st.number_input("Store Establishment year", 1999)
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#Store_Size = st.selectbox("Select Store Size", ['Medium', 'High', 'Small'])
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#Store_Location_City_Type = st.selectbox("Select Store Location", ['Tier 2', 'Tier 1', 'Tier 3'])
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#Store_Type = st.selectbox("Store Type", ['Supermarket Type2', 'Departmental Store', 'Supermarket Type1',
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# 'Food Mart'])
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Product_Weight = st.number_input("Product Weight", min_value=0.01, value=16.54)
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Product_Sugar_Content = st.selectbox("Sugar Content", ["Low Sugar", "Regular", "No Sugar", "reg"], value="Low Sugar" )
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Product_Allocated_Area = st.number_input("Product Allocated area", value=0.144)
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Product_Type = st.selectbox("Product Type", ['Frozen Foods', 'Dairy', 'Canned', 'Baking Goods',
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'Health and Hygiene', 'Snack Foods', 'Meat', 'Household',
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'Hard Drinks', 'Fruits and Vegetables', 'Breads', 'Soft Drinks',
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'Breakfast', 'Others', 'Starchy Foods', 'Seafood'], value="Dairy")
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Product_MRP = st.number_input("Product MRP", value="171.43")
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Store_Id = st.selectbox("Select Store", ['OUT004', 'OUT003', 'OUT001', 'OUT002'], value="OUT003")
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Store_Establishment_Year = st.number_input("Store Establishment year", value="1999")
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Store_Size = st.selectbox("Select Store Size", ['Medium', 'High', 'Small'], value="Medium")
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Store_Location_City_Type = st.selectbox("Select Store Location", ['Tier 2', 'Tier 1', 'Tier 3'], value="Tier 1")
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Store_Type = st.selectbox("Store Type", ['Supermarket Type2', 'Departmental Store', 'Supermarket Type1',
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'Food Mart'], value="Departmental Store")
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# Convert user input into a DataFrame
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