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import gradio as gr | |
from transformers import BartForConditionalGeneration, BartTokenizer, pipeline | |
# Load the model and tokenizer using the authentication token | |
model = BartForConditionalGeneration.from_pretrained("sshleifer/distilbart-cnn-12-6") | |
tokenizer = BartTokenizer.from_pretrained("sshleifer/distilbart-cnn-12-6") | |
# Create the summarization pipeline with the loaded model and tokenizer | |
get_completion = pipeline("summarization", model=model, tokenizer=tokenizer) | |
def summarize(input): | |
output = get_completion(input) | |
return output[0]['summary_text'] | |
demo = gr.Interface(fn=summarize, | |
inputs=[gr.Textbox(label="Text to summarize", lines=6)], | |
outputs=[gr.Textbox(label="Result", lines=3)], | |
title="Text summarization with distilbart-cnn", | |
description="Summarize any text using the `shleifer/distilbart-cnn-12-6` model under the hood!" | |
) | |
demo.launch(inline=False) |