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# Use a pipeline as a high-level helper
from transformers import pipeline
import gradio as gr
import os
pipe = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
def summarize(input):
output = pipe(input)
return output[0]['summary_text']
gr.close_all()
demo = gr.Interface(fn=summarize,
inputs=[gr.Textbox(label="Text to summarize", lines=10)],
outputs=[gr.Textbox(label="Text to summarize", lines=5)])
demo.launch() |