Realiza varios ajustes para melhorar o tracking e o render de video

video_render/pipeline.py

@@ -107,6 +107,9 @@ class VideoPipeline:
         TranscriptionService.persist(transcription, context.workspace.workspace_dir)
         context.transcription = transcription
 
+        # Unload Whisper model immediately after transcription to free memory (1-3GB)
+        self.transcriber.unload_model()
+
     def _determine_highlights(self, context: PipelineContext) -> None:
         if not context.transcription:
             raise RuntimeError("Transcricao nao disponivel")