diff --git a/scripts/caption_processor.py b/scripts/caption_processor.py
index 4655949..11d6223 100644
--- a/scripts/caption_processor.py
+++ b/scripts/caption_processor.py
@@ -82,9 +82,9 @@ def generate_caption_with_llava(
     """Generate caption using LLaVA model"""
     try:
         # Try to use transformers with LLaVA
-        from transformers import AutoProcessor, AutoModelForVision2Seq
-        import torch
-        from PIL import Image
+        from transformers import AutoProcessor, AutoModelForVision2Seq  # noqa: F401
+        import torch  # noqa: F401
+        from PIL import Image  # noqa: F401
 
         # Note: This requires llava-hf/llava-1.5-7b-hf or similar
         # For now, return a placeholder
diff --git a/scripts/story_processor.py b/scripts/story_processor.py
index da03d2c..a6ebc09 100644
--- a/scripts/story_processor.py
+++ b/scripts/story_processor.py
@@ -63,7 +63,7 @@ def generate_parent_child_chunks(
     asr_segments = asr_data.get("segments", [])
     cut_scenes = cut_data.get("scenes", [])
     yolo_frames = yolo_data.get("frames", [])
-    ocr_frames = ocr_data.get("frames", [])
+    _ocr_frames = ocr_data.get("frames", [])
 
     # Create child chunks from ASR segments
     asr_child_ids = []