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app.py

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+import gradio as gr
+import pandas as pd
+
+
+def process_csv(df):
+    # Split the 'title' column on ' -' and keep only the first part
+    df['title'] = df['title'].str.split(' -').str[0]
+    df = df.rename(columns={'request_text': 'Veta', 'intent_1': 'Intent', 'title': 'ID Odpovedi'})
+    # Apply a filter to eliminate rows with the 'Veta' column that have less than or equal to 3 words
+    df = df[df['Veta'].str.split().str.len() > 3]
+    # Delete all rows where 'Intent' contains 'Cognitive' or 'SmallTalk'
+    df = df[~df['Intent'].str.contains('Cognitive|SmallTalk')]
+    # Using the pandas dataframe sample function to get 200 random rows
+    df = df.sample(200, random_state=42)
+    return df
+
+
+def process_and_save(file):
+    # Load the CSV file into a DataFrame
+    df = pd.read_csv(file.name)
+
+    # Process the DataFrame using your script
+    processed_df = process_csv(df)
+
+    # Save the processed DataFrame to an Excel file
+    output_file = 'processed_output.csv'
+    processed_df.to_csv(output_file, index=False)
+
+    return output_file
+
+
+# Define the Gradio interface
+interface = gr.Interface(
+    fn=process_and_save,
+    inputs=gr.File(label="Upload CSV File"),
+    outputs=gr.File(label="Download Excel File"),
+    title="Zprocesuj denní testy pro Testing Tool",
+    description="Načti export denních testů z PowerBI v csv a klikni na 'Submit' Pak stáhni zprocesovaný csv soubor."
+)
+
+if __name__ == "__main__":
+    interface.launch(share=True)