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Browse files- app.py +12 -0
- requirements.txt +1 -0
app.py
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import gradio as gr
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from setfit import AbsaModel
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model = AbsaModel.from_pretrained(
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"tomaarsen/setfit-absa-paraphrase-mpnet-base-v2-restaurants-aspect",
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"tomaarsen/setfit-absa-paraphrase-mpnet-base-v2-restaurants-polarity"
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)
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def predict(text):
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return model.predict(text)
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demo = gr.Interface(fn=predict, inputs="text", outputs="text")
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demo.launch()
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requirements.txt
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setfit[absa]
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