\Revert Whisper to large-v2 for verified accuracy (large-v3 hallucinated), keeping NLLB-3.3B"

Dockerfile

@@ -18,8 +18,8 @@ RUN pip install --no-cache-dir --upgrade -r requirements.txt
 RUN mkdir -p /home/user/.cache/whisper
 ENV XDG_CACHE_HOME="/home/user/.cache"
 
-# Pre-download large-v3 model during build to avoid runtime timeout
-RUN python3 -c "from faster_whisper import download_model; download_model('large-v3')"
+# Pre-download large-v2 model (User preferred over v3 for accuracy)
+RUN python3 -c "from faster_whisper import download_model; download_model('large-v2')"
 
 COPY --chown=user . /app
 CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

app.py

@@ -29,8 +29,8 @@ app.add_middleware(
     allow_headers=["*"],
 )
 
-# Use 'large-v3' (Pre-downloaded in Dockerfile for stability & max accuracy)
-MODEL_SIZE = "large-v3" 
+# Use 'large-v2' (User selected as most accurate, pre-downloaded in Dockerfile)
+MODEL_SIZE = "large-v2" 
 model = None
 
 def load_model():