| import gradio as gr | |
| from transformers import pipeline | |
| # Load the summarization model from Hugging Face | |
| summarizer = pipeline("summarization") | |
| # Define the summarization function | |
| def summarize_text(input_text): | |
| summarized = summarizer(input_text, max_length=100, min_length=30, do_sample=False)[0] | |
| return summarized["summary_text"] | |
| # Create the Gradio interface | |
| iface = gr.Interface( | |
| fn=summarize_text, | |
| inputs=gr.inputs.Textbox(lines=10, placeholder="Enter text to summarize..."), | |
| outputs=gr.outputs.Textbox(placeholder="Summary will appear here...") | |
| ) | |
| # Run the interface | |
| iface.launch() | |