Create app.py

app.py

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+import pandas as pd
+from fastai.text.all import *
+from datasets import load_dataset
+
+learn = text_classifier_learner(dls, AWD_LSTM, drop_mult=0.5, metrics=accuracy,cbs=callbacks).to_fp16()
+learn = learn.load_encoder('finetunedClass.pth')
+
+def predict(frase):
+   pred = learn.predict(frase)
+   return pred
+   
+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)