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| # Import libraries | |
| import gradio as gr | |
| from transformers import pipeline | |
| # Create a summarization pipeline | |
| summarizer = pipeline("summarization") | |
| # Define a function that takes a text and returns a summary | |
| def summarize(text): | |
| summary = summarizer(text, max_length=200, min_length=40, do_sample=False)[0] | |
| return summary["summary_text"] | |
| # Create a Gradio interface | |
| interface = gr.Interface( | |
| fn=summarize, # the function to wrap | |
| inputs=gr.Textbox(lines=10, label="Input Text"), # the input component | |
| outputs=gr.Textbox(label="Summary") # the output component | |
| ) | |
| # Launch the interface | |
| interface.launch() |