last attempt

app.py

@@ -4,12 +4,22 @@ import gradio as gr
 import sys
 print(f"Python version: {sys.version}")
 
-learn = load_learner('model.pkl')
+birds = DataBlock(
+    blocks=(ImageBlock, CategoryBlock),
+    get_items=get_image_files,
+    splitter=RandomSplitter(valid_pct=0.2, seed=42),
+    get_y=parent_label,
+    item_tfms=Resize(128))
+
+learn = vision_learner(dls, resnet34, metrics=accuracy)
+
+learn.load("model_weights")
 
 categories = ('Penguin', 'Puffin')
 
 def classifyImage(img):
     pred, idx, prob = learn.predict(img)
+    print(f"Predicted {pred} with p={prob[idx]:.4f}")
     return dict(zip(categories, map(float, prob)))
 
 image = gr.Image(shape=(192, 192))

model_weights.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:90570b1806509443777e814e00c99bbfcc118a756fa3d9f058f744e21d2925bf
+size 46912474