Hargurjeet's picture
base code
01e9bc7
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)