| import gradio as gr | |
| from transformers import pipeline | |
| sentiment = pipeline("sentiment-analysis") | |
| def get_sentiment(input_text): | |
| return sentiment(input_text) | |
| def format_model_output(output): | |
| return f"I am {output['score']*100:.2f}% sure that the review is {output['label']}" | |
| iface = gr.Interface(fn = get_sentiment, | |
| inputs = "text", | |
| outputs = ['text'], | |
| title='RoBERTa Sentiment Analysis', | |
| description = ''' "Creating safe AGI that benefits all of humanity" ''') | |
| iface.launch(inline = False) | |