pet_classifier / app.py
mpiendl's picture
Update app.py
f60e1f4
import gradio as gr
from fastai.vision.all import *
from huggingface_hub import from_pretrained_fastai
import skimage
learner = from_pretrained_fastai("espejelomar/identify-my-cat")
labels = learn.dls.vocab
def predict(img):
img = PILImage.create(img)
pred,pred_idx,probs = learn.predict(img)
return {labels[i]: float(probs[i]) for i in range(len(labels))}
gr.Interface(
fn=predict,
inputs=gr.inputs.Image(share=(512,512)),
outputs=gr.outputs.Label(num_top_classes=3)
).launch(share=True)