Gopala Krishna
commited on
Commit
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907ef1c
1
Parent(s):
89c51df
add try except for file access
Browse files- .vs/UBCFProductRecommendations/FileContentIndex/0aa3bc32-ca3d-4275-aa8e-318fe2e1b2b3.vsidx +0 -0
- .vs/UBCFProductRecommendations/FileContentIndex/{800f1087-579e-4bc8-8fc3-587302d5fa2d.vsidx → 80b4ee3a-0898-4c31-97d4-b745d381e419.vsidx} +0 -0
- .vs/UBCFProductRecommendations/v17/.wsuo +0 -0
- app.py +4 -1
.vs/UBCFProductRecommendations/FileContentIndex/0aa3bc32-ca3d-4275-aa8e-318fe2e1b2b3.vsidx
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Binary file (12.1 kB). View file
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.vs/UBCFProductRecommendations/FileContentIndex/{800f1087-579e-4bc8-8fc3-587302d5fa2d.vsidx → 80b4ee3a-0898-4c31-97d4-b745d381e419.vsidx}
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File without changes
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.vs/UBCFProductRecommendations/v17/.wsuo
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Binary files a/.vs/UBCFProductRecommendations/v17/.wsuo and b/.vs/UBCFProductRecommendations/v17/.wsuo differ
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app.py
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@@ -4,7 +4,10 @@ import gradio as gr
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def recommend_items(customer_id_1, customer_id_2):
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# Read data source Excel file.
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df1a = df1.dropna(subset=['CustomerID'])
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# Create CustomerID vs Item (Purchased Items, " StockCode) matrix by pivot table function.
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def recommend_items(customer_id_1, customer_id_2):
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# Read data source Excel file.
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try:
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df1 = pd.read_excel("UBCF_Online_Retail.xlsx")
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except FileNotFoundError:
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return "Error: Excel file not found."
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df1a = df1.dropna(subset=['CustomerID'])
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# Create CustomerID vs Item (Purchased Items, " StockCode) matrix by pivot table function.
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