Update app.py

app.py

@@ -11,7 +11,6 @@ class_names = {
     1: 'Dyed lifted polyps'
 }
 
-
 def classify_image(image):
     # Preprocess the image
     img_array = tf.image.resize(image, [256, 256])
@@ -24,14 +23,13 @@ def classify_image(image):
 
     return class_names[predicted_class.numpy()], confidence
 
-
 iface = gr.Interface(
     fn=classify_image,
     inputs="image",
     outputs=["text", "number"],
-    interpretation="default",
+    share=True,
     examples=[
         ['examples/0.jpg'],
         ['examples/1.jpg'],
     ])
-iface.launch()
+iface.launch()