added the app and examples

.gitattributes

@@ -33,3 +33,4 @@ 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
+*.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,22 @@
+from fastai.vision.all import *
+import gradio as gr
+from huggingface_hub import from_pretrained_fastai
+
+repo_id = "samrosenf/avocados"
+
+learner = from_pretrained_fastai(repo_id)
+
+def is_cat(x): return x[0].isupper()
+
+categories = ('Dog', 'Cat')
+
+def classify_image(img):
+    pred, idx, probs = learner.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.Image()
+label = gr.Label()
+examples = ['hass.jpg', 'reed.jpg', 'ettinger.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)