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Create 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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text_summary = pipeline("summarization", model="sshleifer/distilbart-xsum-9-6",
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torch_dtype=torch.bfloat16)
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#model_path =("../models/models--sshleifer--distilbart-xsum-9-6/snapshots"
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# "/28dfbe915f475094642bf8c7dba2ba8a8e85b432")
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#text_summary = pipeline("summarization", model=model_path,
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# torch_dtype=torch.bfloat16)
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#text=("India, officially the Republic of India,[j][20] is a country in South Asia. "
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# "It is the seventh-largest country by area; the most populous country since 2023;[21]"
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# " and, since its independence in 1947, the world's most populous democracy.[22][23][24] Bounded by "
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# "the Indian Ocean on the south, "
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#"the Arabian Sea on the southwest, and the Bay of Bengal on the southeast, it shares land borders"
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#" with Pakistan to the west;"
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#"[k] China, Nepal, and Bhutan to the north; and Bangladesh and Myanmar to the east. In the Indian Ocean, "
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#"India is near Sri Lanka and the Maldives; "
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#"its Andaman and Nicobar Islands share a maritime border with Thailand, Myanmar, and Indonesia.")
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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(fn=summary,
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inputs=[gr.Textbox(label="Input Text to Summarize",lines=6)],
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outputs=[gr.Textbox(label="summarized text",lines=4)],
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title="AMRITA TEXT SUMMARIZER",
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description="THIS APPLICATION IS USED TO SUMMARIZE THE TEXT")
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demo.launch(share=True)
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