def few_shot_pe_llm_0():
    pipe = pipeline("text-classification", model="kolkata97/autotrain-pe-llm-0")
    
    predicted_categories = []

    for sentence in sentences_list:
      results = pipe(sentence)
      predicted_categories.append(results[0]['label'])

    with open(output_csv_file, 'r', newline='', encoding='utf-8') as file:
        csv_reader = csv.reader(file)
        rows = list(csv_reader)

    for i, row in enumerate(rows[1:], start=0):
        row.append(predicted_categories[i])

    with open(output_csv_file, 'w', newline='', encoding='utf-8') as file:
        writer = csv.writer(file)
        writer.writerows(rows)

    print("Predicted categories appended to the CSV file.")