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import pandas as pd | |
from fastai.text.all import * | |
from datasets import load_dataset | |
import gradio as gr | |
# Cargamos el learner | |
learn = load_learner('export-2.pkl') | |
# Definimos las etiquetas de nuestro modelo | |
labels = learn.dls.vocab | |
# Definimos una función que se encarga de llevar a cabo las predicciones | |
def predict(text): | |
#img = PILImage.create(img) | |
pred,pred_idx,probs = learn.predict(text) | |
return pred | |
# Creamos la interfaz y la lanzamos. | |
gr.Interface(fn=predict, inputs="text", outputs="text",examples=['I will go to see him without telling him about it--.']).launch(share=False) |