darrel999 commited on
Commit
09550fd
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1 Parent(s): 0df7b1e

Create app.py

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  1. app.py +15 -0
app.py ADDED
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+ import gradio as gr
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+ from transformers import pipeline
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+
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+ pipe = pipeline("text-classification")
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+
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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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+
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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)