| import gradio as gr | |
| from transformers import pipeline | |
| hub_model_id = "greatdaveo/pegasus-findsum" | |
| summarizer = pipeline("summarization", model=hub_model_id) | |
| def summarize_text(document): | |
| summary = summarizer(document, max_length=150, min_length=30, do_sample=False) | |
| return summary[0]['summary_text'] | |
| iface = gr.Interface( | |
| fn=summarize_text, | |
| inputs=gr.Textbox(lines=10, placeholder="Enter text here..."), | |
| outputs="text", | |
| title="Financial Document Summarizer", | |
| description="Summarize text using the greatdaveo/pegasus-findsum model." | |
| ) | |
| iface.launch() |