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)