A minimum of progressinfo

app.py

@@ -8,11 +8,15 @@ import timm
 
 import sys
 
-# Upload your model
+print("Loading model...", flush=True)
+
+# Load your model
 learn = load_learner('niclangf-bird-labeler.pkl')
 
 categories = learn.dls.vocab
 
+print("Model has categories: ", categories, flush=True)
+
 def classify_image(img):
     pred,idx,probs = learn.predict(img)
     return dict(zip(categories, map(float,probs)))
@@ -20,6 +24,8 @@ def classify_image(img):
 image = gr.Image()
 label = gr.Label()
 
+print("Launching interface...", flush=True)
+
 # Upload your own images and link them
 examples = ['example.jpg']