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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 = "Emotion Classifier" | |
| description = "An emotion classifier trained on AffectNet with fastai. Identifies emotions of anger, contempt, disgust, fear, happy, neutral, surprise, and sad." | |
| examples = ["happy.jpg", "neutral.jpg", "sad.jpg", "angry.jpg", "contempt.jpg", "fear.jpg", "surprise.jpg", "disgust.jpg"] | |
| gr.Interface( | |
| fn=predict, | |
| inputs=gr.inputs.Image(shape=(224, 224)), | |
| outputs=gr.outputs.Label(num_top_classes=3), | |
| title=title, | |
| description=description, | |
| examples=examples, | |
| enable_queue=True, | |
| ).launch() | |