print gradio datatypes

app.py

@@ -6,9 +6,9 @@ import tensorflow as tf
 def mnist_classifier(img):
     #img = tf.image.resize(img, [28, 28])
     #img = tf.cast(img, tf.float32)
-    print(img['background'])
-    print(img['composite'])
-    return "returned: " + img['layers']
+    print("Background: " + len(img['background']) + type(img['background']))
+    print("Composite: " + len(img['composite']) + type(img['composite']))
+    print("Layers: " + len(img['layers']) + type(img['layers']))
 
 demo = gr.Interface(fn=mnist_classifier, inputs="sketchpad", outputs="text", title="MNIST Checker", description="Draw a number 0-9 to see if the model can classify it.")
 demo.launch()