deploy boatshoes model

.gitattributes

@@ -34,5 +34,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 *.md filter=lfs diff=lfs merge=lfs -text
+*.py filter=lfs diff=lfs merge=lfs -text
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.txt filter=lfs diff=lfs merge=lfs -text
 * !text !filter !merge !diff
 *.pkl !text !filter !merge !diff

app.py

@@ -0,0 +1,20 @@
+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner('model.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)) }
+
+
+gr.Interface(
+    fn=predict, 
+    inputs=gr.Image(width=512, height=512),
+    outputs=gr.Label(num_top_classes=3),
+    title="Boatshoe or not",
+    description="Is what you have boatshoes or not?",
+    examples=['boat_shoe_test.jpg', 'other_shoe_test.jpg'],
+).launch(share=True)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c67ba79ec43e6b8e0e4c6fa88a138e8d095e32e96b40f1f46cf8d855d7703eb5
+size 87479890

requirements.txt

@@ -0,0 +1,3 @@
+fastai
+scikit-image
+gradio