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Update Dockerfile

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Timothy J. Baek 2024-04-08 01:40:03 -07:00
parent 733d69425e
commit a649dc80c0
1 changed files with 32 additions and 27 deletions
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@ -50,6 +50,11 @@ ENV OPENAI_API_KEY="" \
SCARF_NO_ANALYTICS=true \ SCARF_NO_ANALYTICS=true \
DO_NOT_TRACK=true DO_NOT_TRACK=true
# Use locally bundled version of the LiteLLM cost map json
# to avoid repetitive startup connections
ENV LITELLM_LOCAL_MODEL_COST_MAP="True"
#### Other models ######################################################### #### Other models #########################################################
## whisper TTS model settings ## ## whisper TTS model settings ##
ENV WHISPER_MODEL="base" \ ENV WHISPER_MODEL="base" \
@ -66,39 +71,39 @@ WORKDIR /app/backend
COPY ./backend/requirements.txt ./requirements.txt COPY ./backend/requirements.txt ./requirements.txt
RUN if [ "$USE_CUDA" = "true" ]; then \ RUN if [ "$USE_CUDA" = "true" ]; then \
# If you use CUDA the whisper and embedding modell will be downloaded on first use # If you use CUDA the whisper and embedding modell will be downloaded on first use
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/$USE_CUDA_DOCKER_VER --no-cache-dir && \ pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/$USE_CUDA_DOCKER_VER --no-cache-dir && \
pip3 install -r requirements.txt --no-cache-dir && \ pip3 install -r requirements.txt --no-cache-dir && \
python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])" && \ python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])" && \
python -c "import os; from chromadb.utils import embedding_functions; sentence_transformer_ef = embedding_functions.SentenceTransformerEmbeddingFunction(model_name=os.environ['RAG_EMBEDDING_MODEL'], device='cpu')"; \ python -c "import os; from chromadb.utils import embedding_functions; sentence_transformer_ef = embedding_functions.SentenceTransformerEmbeddingFunction(model_name=os.environ['RAG_EMBEDDING_MODEL'], device='cpu')"; \
else \ else \
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir && \ pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir && \
pip3 install -r requirements.txt --no-cache-dir && \ pip3 install -r requirements.txt --no-cache-dir && \
python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])" && \ python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])" && \
python -c "import os; from chromadb.utils import embedding_functions; sentence_transformer_ef = embedding_functions.SentenceTransformerEmbeddingFunction(model_name=os.environ['RAG_EMBEDDING_MODEL'], device='cpu')"; \ python -c "import os; from chromadb.utils import embedding_functions; sentence_transformer_ef = embedding_functions.SentenceTransformerEmbeddingFunction(model_name=os.environ['RAG_EMBEDDING_MODEL'], device='cpu')"; \
fi fi
RUN if [ "$USE_OLLAMA" = "true" ]; then \ RUN if [ "$USE_OLLAMA" = "true" ]; then \
apt-get update && \ apt-get update && \
# Install pandoc and netcat # Install pandoc and netcat
apt-get install -y --no-install-recommends pandoc netcat-openbsd && \ apt-get install -y --no-install-recommends pandoc netcat-openbsd && \
# for RAG OCR # for RAG OCR
apt-get install -y --no-install-recommends ffmpeg libsm6 libxext6 && \ apt-get install -y --no-install-recommends ffmpeg libsm6 libxext6 && \
# install helper tools # install helper tools
apt-get install -y --no-install-recommends curl && \ apt-get install -y --no-install-recommends curl && \
# install ollama # install ollama
curl -fsSL https://ollama.com/install.sh | sh && \ curl -fsSL https://ollama.com/install.sh | sh && \
# cleanup # cleanup
rm -rf /var/lib/apt/lists/*; \ rm -rf /var/lib/apt/lists/*; \
else \ else \
apt-get update && \ apt-get update && \
# Install pandoc and netcat # Install pandoc and netcat
apt-get install -y --no-install-recommends pandoc netcat-openbsd && \ apt-get install -y --no-install-recommends pandoc netcat-openbsd && \
# for RAG OCR # for RAG OCR
apt-get install -y --no-install-recommends ffmpeg libsm6 libxext6 && \ apt-get install -y --no-install-recommends ffmpeg libsm6 libxext6 && \
# cleanup # cleanup
rm -rf /var/lib/apt/lists/*; \ rm -rf /var/lib/apt/lists/*; \
fi fi