Complete project history with Phase 6

history.md

@@ -46,3 +46,9 @@ The project now features a high-performance, Apple Silicon-optimized pipeline th
     - Refactored the script to support a dictionary of multiple `MarianMT` models.
     - Each transcribed English segment is passed through each loaded translation engine sequentially.
 - **Performance on M2:** Loading 3-4 specialized models + Whisper is highly efficient, using ~1.5GB of RAM and providing near-instant results.
+
+## Phase 6: Memory & Generation Safety
+- **Issue:** Occasionally, long inputs or model glitches caused "runaway" translation generation, which could consume excessive memory.
+- **Solution:** 
+    - Artificially truncated input transcription to a maximum of 250 characters.
+    - Added `max_new_tokens=150` to the translation generation call to ensure the model terminates even if it gets stuck in a loop.