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added a global unhandled error when ask_llm failed
Browse files- excel_chat.py +6 -1
excel_chat.py
CHANGED
@@ -223,7 +223,12 @@ def chat_with_mistral(source_cols, dest_col, prompt, excel_file, url, search_col
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for index, row in filtred_df.iterrows():
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concatenated_content = "\n\n".join(f"{column_name}: {str(row[column_name])}" for column_name in source_cols)
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if not concatenated_content == "\n\n".join(f"{column_name}: nan" for column_name in source_cols):
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-
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print(f"{cpt}/{len(filtred_df)}\nQUERY:\n{prompt[0]}\nCONTENT:\n{concatenated_content[:200]}...\n\nANSWER:\n{llm_answer}")
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df.at[index, dest_col] = llm_answer
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cpt += 1
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for index, row in filtred_df.iterrows():
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concatenated_content = "\n\n".join(f"{column_name}: {str(row[column_name])}" for column_name in source_cols)
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if not concatenated_content == "\n\n".join(f"{column_name}: nan" for column_name in source_cols):
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+
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try:
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llm_answer,gloabal_keys = ask_llm(prompt[0], concatenated_content, client, user, gloabal_keys)
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except error:
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llm_answer = "unhandled global error"
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print(f"{cpt}/{len(filtred_df)}\nQUERY:\n{prompt[0]}\nCONTENT:\n{concatenated_content[:200]}...\n\nANSWER:\n{llm_answer}")
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df.at[index, dest_col] = llm_answer
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cpt += 1
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