add all files

.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
+grapes.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,17 @@
+import gradio as gr
+from fastai.vision.all import *
+
+
+learn = load_learner('model.pkl')
+
+examples = ['apples.webp', 'avocadoes.jpg', 'bananas.jpg', 'blueberries.jpg', 'grapes.jpg', 'mangos.jpg', 'oranges.jpg', 'pineapples.jpg', 'strawberries.jpg', 'watermelon.jpg']
+categories = ('Burger', 'Hotdog')
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+
+iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+iface.launch(inline=False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:33d4d74a09e120114d01989dd06306ea8f6437952c22e831c6e3deaf85133720
+size 46988549

requirements.txt

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