Add files for the emotion clasiffier

app.py

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+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 = "Emotions classifier"
+description = "This classifier tries to find peoples emotions from pictures."
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3), title=title, description=description).launch(share=True)

export.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:66a698f2798626b3a60d290f6d4daaf9ae8da425a4af82d50a7b38c5a13bc06b
+size 46958878

requirements.txt

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+fastai
+scikit-image