| from transformers import pipeline | |
| import gradio as gr | |
| model = pipeline("summarization") | |
| def predict(text): | |
| return model(text)[0]['summary_text'] | |
| 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() |