Update huggingface_segment_highlights.py

huggingface_segment_highlights.py

@@ -71,10 +71,13 @@ class HuggingFaceVideoHighlightDetector:
                 try:
                     subprocess.run(cmd, check=True, capture_output=True)
                     
-                    # Analyze this frame
-                    prompt = f"Describe what is happening in this video frame at {time_point:.1f}s. Focus on activities, actions, and interesting visual elements."
+                    # Analyze this frame with one concise sentence so final description stays short.
+                    prompt = (
+                        f"Describe what is happening in this video frame at {time_point:.1f}s in exactly one sentence. "
+                        "Be concrete and avoid guessing names/places unless clearly visible."
+                    )
                     description = self.vlm_handler.generate_response(temp_frame.name, prompt)
-                    descriptions.append(f"At {time_point:.1f}s: {description}")
+                    descriptions.append(description.strip())
                     
                 except subprocess.CalledProcessError as e:
                     logger.error(f"Failed to extract frame at {time_point}s: {e}")
@@ -84,9 +87,9 @@ class HuggingFaceVideoHighlightDetector:
                     if os.path.exists(temp_frame.name):
                         os.unlink(temp_frame.name)
         
-        # Combine all descriptions
+        # Combine into a single concise 4-5 sentence video description.
         if descriptions:
-            return "Video content analysis:\n" + "\n".join(descriptions)
+            return " ".join(descriptions[:5])
         else:
             return "Unable to analyze video content"
     
@@ -540,4 +543,4 @@ def main():
 
 
 if __name__ == "__main__":
-    main()
+    main()