Plataforna de Chat e Desenvolvimento utilizando LLMs locais e online.
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ARG USE_CUDA=false ARG USE_OLLAMA=false
ARG USE_CUDA_VER=cu121
ARG USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 ARG USE_RERANKING_MODEL=""
ARG USE_TIKTOKEN_ENCODING_NAME="cl100k_base"
ARG BUILD_HASH=dev-build
ARG UID=0 ARG GID=0
FROM --platform=$BUILDPLATFORM node:22-alpine3.20 AS build ARG BUILD_HASH
WORKDIR /app
COPY package.json package-lock.json ./ RUN npm ci
COPY . . ENV APP_BUILD_HASH=${BUILD_HASH} RUN npm run build
FROM python:3.11-slim-bookworm AS base
ARG USE_CUDA ARG USE_OLLAMA ARG USE_CUDA_VER ARG USE_EMBEDDING_MODEL ARG USE_RERANKING_MODEL ARG UID ARG GID
ENV ENV=prod
PORT=8080 \
USE_OLLAMA_DOCKER=${USE_OLLAMA} \
USE_CUDA_DOCKER=${USE_CUDA} \
USE_CUDA_DOCKER_VER=${USE_CUDA_VER} \
USE_EMBEDDING_MODEL_DOCKER=${USE_EMBEDDING_MODEL} \
USE_RERANKING_MODEL_DOCKER=${USE_RERANKING_MODEL}
ENV OLLAMA_BASE_URL="/ollama"
OPENAI_API_BASE_URL=""
ENV OPENAI_API_KEY=""
WEBUI_SECRET_KEY=""
SCARF_NO_ANALYTICS=true
DO_NOT_TRACK=true
ANONYMIZED_TELEMETRY=false
ENV WHISPER_MODEL="base"
WHISPER_MODEL_DIR="/app/backend/data/cache/whisper/models"
ENV RAG_EMBEDDING_MODEL="$USE_EMBEDDING_MODEL_DOCKER"
RAG_RERANKING_MODEL="$USE_RERANKING_MODEL_DOCKER"
SENTENCE_TRANSFORMERS_HOME="/app/backend/data/cache/embedding/models"
ENV TIKTOKEN_ENCODING_NAME="cl100k_base"
TIKTOKEN_CACHE_DIR="/app/backend/data/cache/tiktoken"
ENV HF_HOME="/app/backend/data/cache/embedding/models"
WORKDIR /app/backend
ENV HOME=/root
RUN if [ $UID -ne 0 ]; then
if [ $GID -ne 0 ]; then
addgroup --gid $GID app;
fi;
adduser --uid $UID --gid $GID --home $HOME --disabled-password --no-create-home app;
fi
RUN mkdir -p $HOME/.cache/chroma RUN echo -n 00000000-0000-0000-0000-000000000000 > $HOME/.cache/chroma/telemetry_user_id
RUN chown -R $UID:$GID /app $HOME
RUN if [ "$USE_OLLAMA" = "true" ]; then
apt-get update && \
apt-get install -y --no-install-recommends git build-essential pandoc netcat-openbsd curl && \
apt-get install -y --no-install-recommends gcc python3-dev && \
apt-get install -y --no-install-recommends ffmpeg libsm6 libxext6 && \
apt-get install -y --no-install-recommends curl jq && \
curl -fsSL https://ollama.com/install.sh | sh && \
rm -rf /var/lib/apt/lists/*; \
else \
apt-get update && \
apt-get install -y --no-install-recommends git build-essential pandoc gcc netcat-openbsd curl jq && \
apt-get install -y --no-install-recommends gcc python3-dev && \
apt-get install -y --no-install-recommends ffmpeg libsm6 libxext6 && \
rm -rf /var/lib/apt/lists/*; \
fi
COPY --chown=$UID:$GID ./backend/requirements.txt ./requirements.txt
RUN pip3 install uv &&
if [ "$USE_CUDA" = "true" ]; then \
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/$USE_CUDA_DOCKER_VER --no-cache-dir && \
uv pip install --system -r requirements.txt --no-cache-dir && \
python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ['RAG_EMBEDDING_MODEL'], device='cpu')" && \
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; import tiktoken; tiktoken.get_encoding(os.environ['TIKTOKEN_ENCODING_NAME'])"; \
else \
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir && \
uv pip install --system -r requirements.txt --no-cache-dir && \
python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ['RAG_EMBEDDING_MODEL'], device='cpu')" && \
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; import tiktoken; tiktoken.get_encoding(os.environ['TIKTOKEN_ENCODING_NAME'])"; \
fi; \
chown -R $UID:$GID /app/backend/data/
COPY --chown=$UID:$GID --from=build /app/build /app/build COPY --chown=$UID:$GID --from=build /app/CHANGELOG.md /app/CHANGELOG.md COPY --chown=$UID:$GID --from=build /app/package.json /app/package.json
COPY --chown=$UID:$GID ./backend .
EXPOSE 8080
HEALTHCHECK CMD curl --silent --fail http://localhost:${PORT:-8080}/health | jq -ne 'input.status == true' || exit 1
USER $UID:$GID
ARG BUILD_HASH ENV WEBUI_BUILD_VERSION=${BUILD_HASH} ENV DOCKER=true
CMD [ "bash", "start.sh"]
Content type
Image
Digest
sha256:a754370e7…
Size
1.4 GB
Last updated
almost 2 years ago
docker pull fusionlabsbrasil/fernanda-ai