Update Dockerfile

Dockerfile

@@ -27,30 +27,11 @@ COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 
 
-COPY yarngpt/ ./yarngpt/
+COPY . . 
 
 
-ENV PYTHONPATH="/app:${PYTHONPATH}"
-
-COPY app/ ./app/
-
-
-RUN mkdir -p /app/models && \
-    python -c "import os; from huggingface_hub import snapshot_download; import time; print(' Downloading models from Remostartdev/TTS_FARMLINGUA-models...'); start = time.time(); snapshot_download(repo_id='Remostartdev/TTS_FARMLINGUA-models', local_dir='/app/models', local_dir_use_symlinks=False, resume_download=True, ignore_patterns=['*.git*', 'README.md']); print(f' Models downloaded in {time.time() - start:.1f}s')"
-
-
-RUN ls -la /app/models/ && \
-    echo "Model files:" && \
-    find /app/models -type f -name "*.ckpt" -o -name "*.yaml" | xargs -r ls -lh
-
-ENV MODEL_ID=saheedniyi/YarnGPT2b
-ENV WAV_TOKENIZER_CONFIG=/app/models/wavtokenizer_mediumdata_frame75_3s_nq1_code4096_dim512_kmeans200_attn.yaml
-ENV WAV_TOKENIZER_CKPT=/app/models/wavtokenizer_large_speech_320_24k.ckpt
-
-
-RUN python -c "from transformers import AutoModelForCausalLM; AutoModelForCausalLM.from_pretrained('saheedniyi/YarnGPT2b')"
 
 EXPOSE 7860
 
-# Gunicorn with Uvicorn workers for production
-CMD ["gunicorn", "app.main:app", "--workers", "4", "--worker-class", "uvicorn.workers.UvicornWorker", "--bind", "0.0.0.0:7860", "--timeout", "120", "--keep-alive", "5", "--max-requests", "10000", "--max-requests-jitter", "1000"]
+
+CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]