| import gradio as gr | |
| import torch | |
| import transformers | |
| from transformers import pipeline | |
| summarizer = pipeline("summarization", model="achimoraites/flan-t5-base-samsum") | |
| def summarize(text): | |
| return summarizer(text, max_length=128, min_length=30)[0]['summary_text'] | |
| iface = gr.Interface(fn=summarize, inputs="text", outputs="text", live=False, capture_session=True) | |
| iface.launch(inline = False) |