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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 = "Liveness Classification using Webcam" | |
description = "Liveness classification using Adobe Antialiased model with fastai. Created as a 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 = ['modelo_cropped1.jpg'] | |
interpretation= 'default' | |
enable_queue=True | |
gr.Interface(fn=predict,inputs=gr.Image(source="webcam",shape=(224, 224)),outputs=gr.Label(num_top_classes=2),title=title,description=description,article=article,interpretation="shap", num_shap=5,enable_queue=enable_queue).launch() | |