import transformers import gradio as gr from transformers import pipeline sentiment =pipeline("text-classification", model="tabularisai/multilingual-sentiment-analysis") # Classify a new sentence sentence = "I love this product! It's amazing and works perfectly." result = sentiment(sentence) def get_sentiment(text): result = sentiment(text) label = result[0]['label'] score = result[0]['score'] return label, score interface = gr.Interface(fn=get_sentiment, inputs= "textbox", outputs=["text","text"]) interface.launch()