import gradio as gr from transformers import pipeline from gradio.themes.utils import sizes theme = gr.themes.Default(radius_size=sizes.radius_none).set( block_label_text_color = '#4D63FF', block_title_text_color = '#4D63FF', button_primary_text_color = '#4D63FF', button_primary_background_fill='#FFFFFF', button_primary_border_color='#4D63FF', button_primary_background_fill_hover='#EDEFFF', ) sentimentPipeline = pipeline("zero-shot-classification", model="valhalla/distilbart-mnli-12-1") def sentiment_analysis(text, labels): candidate_labels = labels.split(',') results = sentimentPipeline(text, candidate_labels) total_results = "" index = 0 for candidate_label in candidate_labels: total_results += f"Sentiment: {results.get('labels')[index]}, Score: {results.get('scores')[index]}" total_results += '\r\n' index += 1 return total_results with gr.Blocks(theme=theme, css="footer {visibility: hidden}") as demo: gr.Markdown("""