mvp first draft

.gitattributes

@@ -32,3 +32,5 @@ 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
+bike.jpg filter=lfs diff=lfs merge=lfs -text
+car.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,25 @@
+
+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 = "Bike or Car?"
+description = "Simple demo to determine if an image contains a bike or a car."
+examples = ['car.jpg', 'bike.jpg']
+interpretation='default'
+
+gr.Interface(fn=predict,
+             inputs=gr.inputs.Image(shape=(512, 512)),
+             outputs=gr.outputs.Label(num_top_classes=2),
+             title=title,
+             description=description,
+             examples=examples,
+             interpretation=interpretation).launch()

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7eadf28815b0b0d73bcfdadfb09d289aa7af0f42738a11f0a1626160f5beee75
+size 46956644

requirements.txt

@@ -0,0 +1,4 @@
+
+fastai
+gradio
+scikit-image