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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) |