| from transformers import pipeline | |
| import gradio as gr | |
| summarization=pipeline(task="summarization", model="sshleifer/distilbart-cnn-12-6") | |
| def summarize(text:str, max_length:int): | |
| if max_length<10: | |
| raise gr.Error() | |
| if text=="": | |
| raise gr.Error("Text field is empty. Please enter some text") | |
| summary=summarization(text,min_length=10,max_length=max_length) | |
| return summary[0]['summary_text'] | |
| demo = gr.Interface(fn=summarize, inputs=[gr.TextArea(label="Text",placeholder="Enter any long text to be summarized"), | |
| gr.Number(label="Words",info="Enter the max word of the summary. Min 10",minimum=10)], | |
| outputs=gr.TextArea(label="Summary"), title="Summarization App using AI", description="This app uses AI to summarize long text into your given number of words.") | |
| demo.launch(share=True) |