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from fastai.vision.all import *
import gradio as gr
learn = load_learner('export (1).pkl')
labels = learn.dls.vocab
def predict(frase):
pred, pred_idx, probs = learn.predict(frase)
return {labels[i]: float(probs[i]) for i in range(len(labels))}
gr.Interface(fn=predict, inputs=gr.Textbox() , outputs=gr.Label(num_top_classes=3), examples=['frase1.txt','frase2.txt2']).launch(share=False) |