| import gradio as gr | |
| from transformers import pipeline | |
| get_completion = pipeline("summarization", model="Falconsai/text_summarization") | |
| def summarize(input): | |
| output = get_completion(input) | |
| return output[0]['summary_text'] | |
| gr.close_all() | |
| demo = gr.Interface(fn=summarize, inputs="text", outputs="text") | |
| demo.launch(share=True) |