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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 = "rasaenluis3/e3Modelo"
learner = from_pretrained_fastai(repo_id)
labels = ['0','1','2','3','4','5']
# Auxiliar
def catToValue(cat):
if cat == '0':
return 'sadness'
elif cat == '1':
return 'joy' # wonderhoy :)
elif cat == '2':
return 'love'
elif cat == '3':
return 'anger'
elif cat == '4':
return 'fear'
elif cat == '5':
return 'surprise'
else:
return str(cat)
# Definimos una función que se encarga de llevar a cabo las predicciones
def predict(texto):
print(texto)
pred,pred_idx,probs = learner.predict(texto)
si = {catToValue(labels[i]): float(probs[i]) for i in range(len(labels))}
print(si)
return si
# Creamos la interfaz y la lanzamos.
gr.Interface(fn=predict, inputs=gr.inputs.Textbox(lines=3,label="Escríbeme in english please"), outputs=gr.outputs.Label(num_top_classes=3)).launch(share=False)
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