shuffle glob

app.py

@@ -6,7 +6,7 @@ from PIL import Image
 from transformers import CLIPProcessor, CLIPModel
 import pandas as pd
 from glob import glob
-from random import choice
+from random import choice, shuffle
 
 clip_model = CLIPModel.from_pretrained("openai/clip-vit-base-patch32") 
 clip_processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch32")
@@ -49,7 +49,8 @@ def get_random_image(state):
 
     
 with gr.Blocks(title="End-User Personalization") as demo:
-    images = gr.State(glob('images/**/*.jpg'))
+    img_list = shuffle(glob('images/**/*.jpg'))
+    images = gr.State()
     # start_button = gr.Button(label="Start")
     image_display = gr.Image()
     image_fname = gr.Textbox()
@@ -58,7 +59,7 @@ with gr.Blocks(title="End-User Personalization") as demo:
         upvote = gr.Button("👍")
         downvote = gr.Button("👎")
     annotated_samples = gr.Dataframe(headers=['image_name', 'label', 'image_embed'], row_count=(1, 'dynamic'), 
-                                     col_count=(3, 'fixed'), label='Annotations', wrap=True)
+                                     col_count=(3, 'fixed'), label='Annotations', wrap=False)
     upvote.click(update_table_up, inputs=[image_display, image_fname, annotated_samples, images], outputs=[image_display, image_fname, annotated_samples, images])
     downvote.click(update_table_down, inputs=[image_display, image_fname, annotated_samples, images], outputs=[image_display, image_fname, annotated_samples, images])
     # examples = gr.Examples(examples=[["dog.jpg"], ["colombia.jpg"], ["germany.jpg"]], inputs=[image_display])