Update pages/type_text.py
Browse files- pages/type_text.py +5 -1
pages/type_text.py
CHANGED
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@@ -59,9 +59,13 @@ INTdesc_embedding = model.encode(INTdesc_input)
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# Semantic search, Compute cosine similarity between all pairs of SBS descriptions
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df_allchaps = pd.read_csv("SBS/SBS_V2_Chapter_Index_Rows.csv", usecols=["Chapter", "from_row_index", "to_row_index"])
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st.dataframe(df_allchaps)
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dict_allchaps = df_allchaps.to_dict(orient='index')
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st.write("VVVVVVVVVVV: ", dict_allchaps)
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selected_rows_list = [] #dict_allchaps
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if len(selected_rows_list) == 0:
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st.warning("Please select at least one chapter")
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# Semantic search, Compute cosine similarity between all pairs of SBS descriptions
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df_allchaps = pd.read_csv("SBS/SBS_V2_Chapter_Index_Rows.csv", usecols=["Chapter", "from_row_index", "to_row_index"])
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#st.dataframe(df_allchaps)
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#df_selectedchaps = df.loc[df['City'] == 'Chicago']
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dict_allchaps = df_allchaps.to_dict(orient='index')
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st.write("VVVVVVVVVVV: ", dict_allchaps)
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for chapter in dict_allchaps.get("Chapter"):
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st.write(chapter)
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selected_rows_list = [] #dict_allchaps
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if len(selected_rows_list) == 0:
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st.warning("Please select at least one chapter")
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