Update pages/type_text.py
Browse files- pages/type_text.py +2 -0
pages/type_text.py
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@@ -54,6 +54,8 @@ 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_V2_Table.csv", index_col="SBS_Code", usecols=["Long_Description"]) # na_values=['NA']
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#df_SBS = pd.read_csv("SBS_V2_Table.csv", usecols=["SBS_Code_Hyphenated","Long_Description"])
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from_line = 7727 # 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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#df_chapters = filter_chapters_env(df_chapters, "chapter_name")
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#df_SBS = pd.read_csv("SBS_V2_Table.csv", index_col="SBS_Code", usecols=["Long_Description"]) # na_values=['NA']
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#df_SBS = pd.read_csv("SBS_V2_Table.csv", usecols=["SBS_Code_Hyphenated","Long_Description"])
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from_line = 7727 # Imaging services chapter start, adjust as needed
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