Create app.py
Browse files
app.py
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import gradio as gr
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from transformers import pipeline
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pipe = pipeline("text-classification")
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def clf(text):
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result = pipe(text)
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label = result[0]['label']
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score = result[0]['score']
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res = {label:score,'POSITIVE' if label=='NEGATIVE' else 'NEGATIVE': 1-score}
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return res
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demo = gr.Interface(fn=clf, inputs="text", outputs="label")
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gr.close_all()
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demo.launch(share=True)
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