| import gradio as gr | |
| from transformers import pipeline | |
| summarizer = pipeline("summarization", model="facebook/bart-large-cnn") | |
| def summarize_text(text, min_length, max_length): | |
| summary = summarizer(text, min_length=min_length, max_length=max_length) | |
| return summary[0]['summary_text'] | |
| iface = gr.Interface( | |
| fn=summarize_text, | |
| inputs=[ | |
| gr.Textbox(label="Enter Text", placeholder="Type or paste a long text here...", lines=10), | |
| gr.Slider(minimum=10, maximum=50, step=1, label="Minimum Length", value=10), | |
| gr.Slider(minimum=50, maximum=150, step=1, label="Maximum Length", value=100), | |
| ], | |
| outputs=gr.Textbox(label="Summarized Text"), | |
| live=False, | |
| description="Text Summarization using BART model. Set minimum and maximum token lengths for the summary." | |
| ) | |
| iface.launch() | |