| 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() |