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Create app.py
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app.py
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import gradio as gr
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from transformers import pipeline
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# Load the Hugging Face pre-trained summarization model
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summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
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# Define the function for text summarization
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def summarize_text(input_text):
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# Get the summary from the model
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summary = summarizer(input_text, max_length=150, min_length=50, do_sample=False)
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return summary[0]['summary_text']
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# Create the Gradio interface
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interface = gr.Interface(fn=summarize_text, inputs="text", outputs="text", title="Text Summarization App")
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# Launch the app
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interface.launch()
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