File size: 714 Bytes
7ce6d43 5350b64 7ce6d43 5350b64 7ce6d43 7966748 7ce6d43 96e25e6 7ce6d43 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 |
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 = "valintea/modelo_p1"
learner = from_pretrained_fastai(repo_id)
labels = learner.dls.vocab
# Definimos una función que se encarga de llevar a cabo las predicciones
def predict(img):
#img = PILImage.create(img)
pred,pred_idx,probs = learner.predict(img)
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.Image(shape=(128, 128)), outputs=gr.outputs.Label(num_top_classes=3),examples=['0000029906.jpg','0000043910.jpg']).launch(share=False)
|