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| import gradio as gr | |
| from transformers import pipeline | |
| def text_summarization(text): | |
| summarizer = pipeline("summarization") | |
| summary = summarizer(text, max_length=1024, min_length=100, do_sample=False) | |
| return summary[0]['summary_text'] | |
| description_text = "Welcome to the Paragraph Summarization Tool! Enter the paragraph you want to summarize and please don't enter paragraph exceeding 1024 charcaters and also shorther than 100 characters. I thank the user for spending his most valuable time to use this tool 🙏 " | |
| iface = gr.Interface(fn=text_summarization, inputs="text", outputs="text", title = "Paragraph Summarizer ", description=description_text) | |
| iface.launch(share=True) | |