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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) |