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c52380d
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Parent(s):
e027a6c
Add application file
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app.py
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'''
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A script that uses gradio to make a web app that takes in a dialog and outputs a summary.
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Import a huggingface model.
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'''
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import gradio as gr
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from transformers import pipeline, AutoTokenizer, AutoModelForSeq2SeqLM
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MODEL_NAME = "Firefly777a/bart-large-samsum-candice-set-summary-3ep-3"
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# Import the model
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summarizer = pipeline("summarization", model=MODEL_NAME, tokenizer=MODEL_NAME)
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# tokenizer = AutoTokenizer.from_pretrained(PRETRAIN_MODEL_NAME)
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# Define the function that will be used by the web app
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def summarize_dialog(dialog):
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# Summarize the dialog
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summary = summarizer(dialog, max_length=50, min_length=10, do_sample=False)
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# Return the summary
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return summary[0]['summary_text']
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# Define the web app & launch
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gr.Interface(fn=summarize_dialog, inputs="text", outputs="text").launch()
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