Update excel_chat.py

excel_chat.py

@@ -101,12 +101,14 @@ def chat_with_mistral(source_cols, dest_col, prompt, excel_file, url, search_col
 
     filtred_df = filter_df(df, search_col, keywords)
 
+    cpt = 1
     for index, row in filtred_df.iterrows():
         concatenated_content = "\n\n".join(f"{column_name}: {str(row[column_name])}" for column_name in source_cols)
         if not concatenated_content == "\n\n".join(f"{column_name}: nan" for column_name in source_cols):
             llm_answer = ask_llm(prompt[0], concatenated_content, client, user)
-            print(f"{index+1}/{len(filtred_df)}\nQUERY:\n{prompt[0]}\nCONTENT:\n{concatenated_content[:200]}...\n\nANSWER:\n{llm_answer}")
+            print(f"{cpt}/{len(filtred_df)}\nQUERY:\n{prompt[0]}\nCONTENT:\n{concatenated_content[:200]}...\n\nANSWER:\n{llm_answer}")
             df.at[index, dest_col] = llm_answer
+            cpt += 1
             # progress((index+1)/len(df),desc=f'Request {index+1}/{len(df)}')
 
     df.to_excel(file_name, index=False)