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)