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| import os | |
| import io | |
| import IPython.display | |
| from PIL import Image | |
| import base64 | |
| from transformers import pipeline | |
| import gradio as gr | |
| import warnings | |
| warnings.filterwarnings("ignore") | |
| from transformers import pipeline | |
| get_completion = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6") | |
| def summarize(input): | |
| output = get_completion(input) | |
| return output[0]['summary_text'] | |
| gr.close_all() | |
| 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() | |
| gr.close_all() | |