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from huggingface_hub import from_pretrained_fastai
import gradio as gr
from fastai.vision.all import *
# repo_id = "YOUR_USERNAME/YOUR_LEARNER_NAME"
repo_id = "joberiai/lang_class"
learner = from_pretrained_fastai(repo_id)
labels = learner.dls.vocab[1]
# Definimos una función que se encarga de llevar a cabo las predicciones
def predict(text):
#img = PILImage.create(img)
pred,pred_idx,probs = learner.predict(text)
return {labels[i]: float(probs[i]) for i in range(len(labels))}
# Creamos la interfaz y la lanzamos.
gr.Interface(fn=predict, inputs=gr.inputs.Textbox(lines=5, placeholder="Introduzca tu texto:"), outputs=gr.outputs.Label(num_top_classes=4),examples=['A minha casa é grande e bonita', 'サッカーをしよう']).launch(share=False)
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