Update app.py

app.py

@@ -27,7 +27,7 @@ def image_to_output (input_img):
 import os
 import requests
 pretrained_repo = 'pretrained_model'
-model_repo_link = 'https://huggingface.co/qmjnh/FlowerClassification/resolve/main/'
+model_repo_link = 'https://huggingface.co/qmjnh/FLowerCLassification-model/resolve/main/'
 for item in [
         'variables.data-00000-of-00001',
         'variables.index',
@@ -52,10 +52,11 @@ with open('flower_names.txt') as f:
     labels = f.readlines()
 
 # Run gradio
-from gradio.components import Image,Label
+from gradio.components import Image as gradio_image
+from gradio.components import Label as gradio_label
 UI=gr.Interface(fn=image_to_output, 
-             inputs=Image(shape=(224,224)),
-             outputs=Label(num_top_classes=5),
+             inputs=gradio_image(shape=(224,224)),
+             outputs=gradio_label(num_top_classes=5),
              interpretation="default"
              )
 UI.launch()