| import gradio as gr | |
| from transformers import pipeline | |
| classifier = pipeline("sentiment-analysis") | |
| def summarize(input): | |
| output = get_completion(input) | |
| return output[0]['sentiment'] | |
| gr.close_all() | |
| demo = gr.Interface(fn=classifier, inputs="text", outputs="text") | |
| demo.launch() |