Spaces:
Runtime error
Runtime error
import gradio as gr | |
from fastai.vision.all import * | |
import skimage | |
learn = load_learner('export_main_char.pkl') | |
labels = ['Lloyd Garmadon', | |
'Kai', | |
'Cole', | |
'Jay', | |
'Zane', | |
'Nya', | |
'P.I.X.A.L.', | |
'Master Wu', | |
'Lord Garmadon'] | |
labels.sort() | |
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 = "Ninjago Main Character Classifier" | |
description = "Guesses the name of the Ninjago characters. Created from the fastai demo for Gradio and HuggingFace Spaces." | |
#article = "<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>" | |
examples = ['Lloyd.jpg', 'Cole.png'] | |
interpretation = 'default' | |
enable_queue = True | |
gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(192, 192)), outputs=gr.outputs.Label(num_top_classes=3), title=title, | |
description=description, examples=examples, interpretation=interpretation, enable_queue=enable_queue).launch() | |