updated app

app.py

@@ -30,7 +30,7 @@ model = load_learner(model_path)
 
 def recognize_image(image):
     pred, idx, probs = model.predict(image)
-    return dict(zip(cap_labels, map(float, probs)))
+    return dict(zip(chicken_breeds, map(float, probs)))
 
 image = gr.inputs.Image(shape=(192, 192))
 label = gr.outputs.Label()