Update pages/type_text.py
Browse files- pages/type_text.py +2 -0
pages/type_text.py
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@@ -60,6 +60,8 @@ 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_SBS = pd.read_csv("SBS/SBS_V2_Code_Table.csv", index_col="SBS_Code", usecols=["Long_Description"]) # na_values=['NA']
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#df_SBS = pd.read_csv("SBS/SBS_V2_Code_Table.csv", usecols=["SBS_Code_Hyphenated","Long_Description"])
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from_row_index = 7725 # Imaging services chapter start, adjust as needed
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# Semantic search, Compute cosine similarity between all pairs of SBS descriptions
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dfallchaps = pd.read_csv("SBS/SBS_V2_Chapter_Index_Rows.csv", index_col=["Chaper", usecols=["from_row_index", "to_row_index"]])
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st.write("UUUUUUUUUUU: ", dfallchaps)
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#df_SBS = pd.read_csv("SBS/SBS_V2_Code_Table.csv", index_col="SBS_Code", usecols=["Long_Description"]) # na_values=['NA']
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#df_SBS = pd.read_csv("SBS/SBS_V2_Code_Table.csv", usecols=["SBS_Code_Hyphenated","Long_Description"])
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from_row_index = 7725 # Imaging services chapter start, adjust as needed
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