Update app.py

app.py

@@ -5,25 +5,16 @@ from pixeltable.iterators import FrameIterator
 import PIL.Image
 import os
 
-# Embedding functions
-@pxt.expr_udf
-def embed_image(img: PIL.Image.Image):
-    return clip_image(img, model_id='openai/clip-vit-base-patch32')
-
-@pxt.expr_udf
-def str_embed(s: str):
-    return clip_text(s, model_id='openai/clip-vit-base-patch32')
-
 # Process video and create index
 def process_video(video_file, progress=gr.Progress()):
-
     progress(0, desc="Initializing...")
 
     # Pixeltable setup
     pxt.drop_dir('video_search', force=True)
     pxt.create_dir('video_search')
 
-    video_table = pxt.create_table('video_search.videos', {'video': pxt.VideoType()})
+    # Update type declaration to use simpler syntax
+    video_table = pxt.create_table('video_search.videos', {'video': pxt.Video})
 
     frames_view = pxt.create_view(
         'video_search.frames', 
@@ -35,14 +26,18 @@ def process_video(video_file, progress=gr.Progress()):
     video_table.insert([{'video': video_file.name}])
     
     progress(0.4, desc="Creating embedding index...")
-    frames_view.add_embedding_index('frame', string_embed=str_embed, image_embed=embed_image)
+    # Updated embedding pattern using .using()
+    frames_view.add_embedding_index(
+        'frame',
+        string_embed=clip_text.using(model_id='openai/clip-vit-base-patch32'),
+        image_embed=clip_image.using(model_id='openai/clip-vit-base-patch32')
+    )
 
     progress(1.0, desc="Processing complete")
-    return "Good news! Your video has been processed.  Easily find the moments you need by searching with text or images."
+    return "Good news! Your video has been processed. Easily find the moments you need by searching with text or images."
 
 # Perform similarity search
 def similarity_search(query, search_type, num_results, progress=gr.Progress()):
-    
     frames_view = pxt.get_table('video_search.frames')
     
     progress(0.5, desc="Performing search...")
@@ -54,9 +49,8 @@ def similarity_search(query, search_type, num_results, progress=gr.Progress()):
     results = frames_view.order_by(sim, asc=False).limit(num_results).select(frames_view.frame, sim=sim).collect()
     
     progress(1.0, desc="Search complete")
-
     return [row['frame'] for row in results]
-
+    
 # Gradio interface
 with gr.Blocks(theme=gr.themes.Base()) as demo:
     gr.Markdown(