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.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
+polar[[:space:]]bear.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,30 @@
+import gradio as gr
+from fastai.vision.all import *
+from PIL import Image
+
+# Load the exported fastai Learner
+learn = load_learner('model.pkl')
+labels = learn.dls.vocab  # ['bear', 'parrot']
+
+# Prediction function
+def predict(img):
+    pred, pred_idx, probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+# Interface metadata
+title = "Polar Bear vs Parrot Classifier"
+description = "A simple image classifier that distinguishes between polar bears and parrots using fastai and Gradio."
+
+# Optional: Example images must exist in the same directory
+examples = ['polar bear.jpg', 'parrot.jpeg']
+
+# Launch the Gradio interface
+gr.Interface(
+    fn=predict,
+    inputs=gr.Image(type="pil"),
+    outputs=gr.Label(num_top_classes=2),
+    title=title,
+    description=description,
+    examples=examples,
+    allow_flagging='never'
+).launch()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8992eb9bb3f0b5b44e19effdff8a4dbd93c6e6c0af3e1b3ae3459c3bc5b7928d
+size 46967280