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Update app.py
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app.py
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@@ -4,6 +4,8 @@ import pandas as pd
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def process_csv(df):
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# Split the 'title' column on ' -' and keep only the first part
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df['title'] = df['title'].str.split(' -').str[0]
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df = df.rename(columns={'request_text': 'Veta', 'intent_1': 'Intent', 'title': 'ID Odpovedi'})
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@@ -18,16 +20,12 @@ def process_csv(df):
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def process_and_save(file):
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# Load the CSV file into a DataFrame
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df = pd.read_csv(file.name, index_col=False)
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df.reset_index(drop=True, inplace=True)
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# Check for commas in any of the columns and filter out those rows
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df = df[~df.apply(lambda row: row.astype(str).str.contains(',').any(), axis=1)]
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# Process the DataFrame using your script
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processed_df = process_csv(df)
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-
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# Save the processed DataFrame to an Excel file
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output_file = 'processed_output.csv'
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processed_df.to_csv(output_file, index=False)
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def process_csv(df):
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# Check for commas in any of the columns and filter out those rows
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df = df[~df.apply(lambda row: row.astype(str).str.contains(',').any(), axis=1)]
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# Split the 'title' column on ' -' and keep only the first part
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df['title'] = df['title'].str.split(' -').str[0]
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df = df.rename(columns={'request_text': 'Veta', 'intent_1': 'Intent', 'title': 'ID Odpovedi'})
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def process_and_save(file):
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# Load the CSV file into a DataFrame
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df = pd.read_csv(file.name, index_col=False)
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df.reset_index(drop=True, inplace=True)
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# Process the DataFrame using your script
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processed_df = process_csv(df)
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# Save the processed DataFrame to an Excel file
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output_file = 'processed_output.csv'
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processed_df.to_csv(output_file, index=False)
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