| # app.py | |
| import gradio as gr | |
| from transformers import pipeline | |
| # Choose model (either one of the two below) | |
| model_name = "Falconsai/text_summarization" # or "facebook/bart-large-cnn" | |
| summarizer = pipeline("summarization", model=model_name) | |
| def summarize(text): | |
| summary = summarizer(text, max_length=150, min_length=30, do_sample=False) | |
| return summary[0]["summary_text"] | |
| iface = gr.Interface( | |
| fn=summarize, | |
| inputs=gr.Textbox(lines=10, placeholder="Enter long text here..."), | |
| outputs=gr.Textbox(label="Summary"), | |
| allow_flagging="never", | |
| title="Text Summarizer" | |
| ) | |
| iface.launch() | |