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| from fastai.vision.all import * | |
| import gradio as gr | |
| def emotion(x): return x[0].isupper() | |
| learn = load_learner('emotion_classifier_model.pkl') | |
| categories = ('angry', 'anxious', 'calm', 'disgusted','happy', 'sad', 'scared') | |
| def classify_images(img): | |
| pred,idx,probs = learn.predict(img) | |
| return dict(zip(categories, map(float,probs))) | |
| image = gr.Image(shape=(192,192)) | |
| label = gr.Label() | |
| examples = ['emotions/scared.jpg', 'emotions/happy.jpg', 'emotions/sad.jpg', 'emotions/angry.jpg'] | |
| intf = gr.Interface(fn=classify_images, inputs=image, outputs=label, examples=examples) | |
| intf.launch(inline=False) |