cbendale10 commited on
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409c83e
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1 Parent(s): e10265f

Upload folder using huggingface_hub

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Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -19,10 +19,10 @@ product_type = st.selectbox("Product Type", [
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  ])
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  product_mrp = st.number_input("Product MRP", min_value=0.0, step=1.0, value=150.0)
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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", list(range(1987, 2010)))
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  store_size = st.selectbox("Store Size", ["Small", "Medium", "High"])
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  store_location_city_type = st.selectbox("Store Location Type", ["Tier 1", "Tier 2", "Tier 3"])
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- store_type = st.selectbox("Store Type", ["Supermarket Type1", "Supermarket Type2", "Supermarket Type3", "Grocery Store"])
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  # Package into a dictionary and convert to DataFrame
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  input_data = pd.DataFrame([{
 
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  ])
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  product_mrp = st.number_input("Product MRP", min_value=0.0, step=1.0, value=150.0)
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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", list(range(1987, 2020)))
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  store_size = st.selectbox("Store Size", ["Small", "Medium", "High"])
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  store_location_city_type = st.selectbox("Store Location Type", ["Tier 1", "Tier 2", "Tier 3"])
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+ store_type = st.selectbox("Store Type", ["Supermarket Type1", "Supermarket Type2", "Supermarket Type3", "Grocery Store", "Food Mart"])
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  # Package into a dictionary and convert to DataFrame
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  input_data = pd.DataFrame([{