Update app.py

app.py

@@ -16,9 +16,10 @@ def classify(img):
   score = tf.nn.softmax(predictions[0])
   confidences = {class_names[i]: float(score[i]) for i in range(5)}
   return confidences
+  
+gr.HTML("<h1>Flower Classification App [Sunflower, Rose, Daisy, Dandelion, Tulips]</h1>")
 
-gr.Interface(gr.HTML("<h1>Flower Classification App [Sunflower, Rose, Daisy, Dandelion, Tulips]</h1>"),
-             fn=classify,
+gr.Interface(fn=classify,
              inputs=gr.Image(shape=(180, 180)),
              outputs=gr.Label(num_top_classes=5),examples=["Dandelion.jpg", "rose.jpeg","sunflower.jpg", "tulips.jpeg"]).launch(debug=True)