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