| import gradio as gr | |
| from transformers import pipeline | |
| # Load the text summarization pipeline | |
| summarizer = pipeline("summarization") | |
| def summarize_text(input_text): | |
| # Use the summarization pipeline to generate a summary | |
| summary = summarizer(input_text, max_length=100, min_length=30, do_sample=False) | |
| return summary[0]['summary_text'] | |
| # Create the Gradio interface | |
| iface = gr.Interface(fn=summarize_text, | |
| inputs="text", | |
| outputs="text", | |
| title="Text Summarization", | |
| description="Enter some text and get a summary of it.") | |
| iface.launch() | |