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.gitattributes

@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+hotornot.pk1 filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,20 @@
+__all__ = ['learner_faces', 'categories', 'classify_faces', 'image', 'label', 'examples', 'intf']
+
+from fastai.vision.all import *
+import gradio as gr
+
+
+learner_attractiveness = load_learner('hotornot.pk1')
+categories = ['hot', 'average', 'ugly']
+
+def classify_attractiveness(img):
+  prediction, index, probability = learner_attractiveness.predict(img)
+  return dict(zip(categories, map(float, probability)))
+
+intf = gr.Interface(fn=classify_faces,
+             inputs=gr.Image(shape=(192, 192)),
+             outputs=gr.Label(),
+             examples=[])
+intf.launch(inline=False)
+
+

hotornot.pk1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9142733a0527311aab8819b96163f3a8a8c2bbe982b17815aa0cc6501d39a4ec
+size 102923477

requirements.txt

@@ -0,0 +1,2 @@
+fastai
+gradio