Create app.py
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app.py
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import pandas as pd
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from fastai.text.all import *
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from datasets import load_dataset
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learn = text_classifier_learner(dls, AWD_LSTM, drop_mult=0.5, metrics=accuracy,cbs=callbacks).to_fp16()
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learn = learn.load_encoder('finetunedClass.pth')
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def predict(frase):
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pred = learn.predict(frase)
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return pred
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gr.Interface(fn=predict, inputs="text", outputs="text", examples=['i had been talking to coach claudia barcomb and coach ali boe for a long time and they both made me feel very welcomed at union']).launch(share=False)
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