WIP:

app.py

@@ -10,8 +10,8 @@ categories = ["Barlett", "Concorde"]
 
 def classify_pear(pear):
     pred, idx, probs = learn.predict(pear)
-    print(f"This is a {pred}")
-    return dict(zip(categories, map(float, probs)))
+    result = f"This is a {pred} pear.\n\n{dict(zip(categories, map(float, probs)))}"
+    return result
 
 demo = gr.Interface(fn=classify_pear, inputs="image", outputs="text")
 demo.launch()