initial

app.py

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+from fastcore.all import *
+from fastai.learner import *
+from fastai.vision.all import *
+import gradio as gr
+
+categories = ('confused','attentive', 'bored', 'interested', 'frustrated', 'thoughtful')
+learn_inf = load_learner('export.pkl')
+
+def classify_image(img):
+    pred,idx,prods = learn_inf.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
+intf.launch

export.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:dd032084b3f975e1d4c63b79c5cae78ddf223235b5a0c5dd787907bf96d375bc
+size 46982479