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Update app.py
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app.py
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import torch
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import gradio as gr
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# Use a pipeline as a high-level helper
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from transformers import pipeline
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# its its used for local after installing the model
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# model_path = "../models/models--sshleifer--distilbart-cnn-12-6/snapshots/a4f8f3ea906ed274767e9906dbaede7531d660ff"
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text_summary = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6",torch_dtype=torch.bfloat16)
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# text = '''Elon Reeve Musk (/ˈiːlɒn/ EE-lon; born June 28, 1971) is a businessman known for his key roles in Tesla, SpaceX, PayPal, OpenAI, Twitter (which he rebranded as X) and America PAC. Since 2025, he has been a senior advisor to United States president Donald Trump and the de facto head of the Department of Government Efficiency (DOGE). Musk is the wealthiest person in the world; as of March 2025, Forbes estimates his net worth to be US$345 billion. '''
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# print(text_summary(text));
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def summary (input):
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output = text_summary(input)
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return output[0]['summary_text']
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gr.close_all()
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# demo = gr.Interface(fn=summary, inputs="text", outputs="text")
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demo = gr.Interface(
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fn=summary,
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inputs=[gr.Textbox(label="Input text to summarize", lines=7)],
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outputs=[gr.Textbox(label="Summarized text", lines=4)],
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title="@cygon: Text summarizer",
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description="SIMPLE UNPAID APPLICATION FOR TEXT SUMMARIZING"
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)
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demo.launch()
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