Update app.py

app.py

@@ -10,7 +10,7 @@ import pandas as pd
 import time
 from PIL import Image
 
-TITLE = "Video Tagger"
+TITLE = "AI Video Auto-Tagger & Captioner"
 DESCRIPTION = """
 Upload a .mp4 or .mov video, choose how often to sample frames, and generate
 combined (deduplicated) tags using a selected **tagging/captioning model**.
@@ -19,6 +19,7 @@ combined (deduplicated) tags using a selected **tagging/captioning model**.
 - Control thresholds for **General Tags** and **Character Tags**.
 - All tags from all sampled frames are merged into **one unique, comma-separated string**.
 - Use the **Tag Control** tab to define tag substitutions and exclusions for the final output.
+**This space is running on the free CPU tier so it can be slow. If you want better speeds, clone the space and host it on more capable hardware.**
 """
 
 DEFAULT_MODEL_REPO = "SmilingWolf/wd-eva02-large-tagger-v3"
@@ -457,7 +458,7 @@ class VideoTagger:
                             pct,
                             desc=(
                                 f"Preparing batch {current_batch}/{total_batches} "
-                                f"({len(batch_tensors)}/{current_batch_size} frames)..."
+                                f"({len(batch_tensors)}/{current_batch_size} frames)"
                             ),
                         )
     
@@ -471,7 +472,7 @@ class VideoTagger:
                                 pct,
                                 desc=(
                                     f"Processing batch {current_batch}/{total_batches} "
-                                    f"(frames {beg}-{end}/{sampled_frames})..."
+                                    f"(frames {beg}-{end}/{sampled_frames})"
                                 ),
                             )
     
@@ -513,7 +514,7 @@ class VideoTagger:
                     pct,
                     desc=(
                         f"Processing final batch {current_batch}/{total_batches} "
-                        f"(frames {beg}-{end}/{sampled_frames})..."
+                        f"(frames {beg}-{end}/{sampled_frames})"
                     ),
                 )