Spaces:
Runtime error
Runtime error
import gradio as gr | |
from fastai.vision.all import * | |
import skimage | |
learn = load_learner('export.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))} | |
title = "์ ์๋๋ฌผ ํ์ข ๋ถ๋ฅ๊ธฐ" | |
description = "fastai๋ฅผ ์ฌ์ฉํ์ฌ Oxford Pets ๋ฐ์ดํฐ ์ธํธ์์ ํ๋ จ๋ ์ ์ โโ๋๋ฌผ ํ์ข ๋ถ๋ฅ๊ธฐ์ ๋๋ค. Gradio์ HuggingFace Spaces ๋ฐ๋ชจ๋ก ์ ์๋์์ต๋๋ค." | |
#article="<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>" | |
examples = ['siamese.jpg'] | |
interpretation='default' | |
enable_queue=True | |
gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description, | |
#article=article, | |
examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch() |