model25000 / app.py
Ottis's picture
fixes
fd4faf1
import gradio as gr
from fastai.vision.all import *
learn = load_learner('model.pkl')
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))}
enable_queue=True
gr.Interface(fn=predict, inputs=gr.Image(shape=(512, 512)), outputs=gr.Label(num_top_classes=3)).launch(inline=False, debug=True)