| from transformers import pipeline | |
| import gradio as gr | |
| model=pipeline("summarization") | |
| def predict(prompt): | |
| summary=model(prompt)[0]['summary_text'] | |
| return summary | |
| with gr.Blocks() as demo: | |
| textbox=gr.Textbox(placeholder="Enter text block to summarize",lines=4) | |
| gr.Interface(fn=predict,inputs=textbox,outputs="text") | |
| demo.launch() |