Update Dockerfile

Dockerfile

@@ -1,176 +1,5 @@
-# syntax=docker/dockerfile:1
-# Initialize device type args
-# use build args in the docker build command with --build-arg="BUILDARG=true"
-ARG USE_CUDA=false
-ARG USE_OLLAMA=false
-# Tested with cu117 for CUDA 11 and cu121 for CUDA 12 (default)
-ARG USE_CUDA_VER=cu121
-# any sentence transformer model; models to use can be found at https://huggingface.co/models?library=sentence-transformers
-# Leaderboard: https://huggingface.co/spaces/mteb/leaderboard 
-# for better performance and multilangauge support use "intfloat/multilingual-e5-large" (~2.5GB) or "intfloat/multilingual-e5-base" (~1.5GB)
-# IMPORTANT: If you change the embedding model (sentence-transformers/all-MiniLM-L6-v2) and vice versa, you aren't able to use RAG Chat with your previous documents loaded in the WebUI! You need to re-embed them.
-ARG USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2
-ARG USE_RERANKING_MODEL=""
-
-# Tiktoken encoding name; models to use can be found at https://huggingface.co/models?library=tiktoken
-ARG USE_TIKTOKEN_ENCODING_NAME="cl100k_base"
-
-ARG BUILD_HASH=dev-build
-# Override at your own risk - non-root configurations are untested
-ARG UID=0
-ARG GID=0
-
-######## WebUI frontend ########
-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
-
-######## WebUI backend ########
-FROM python:3.11-slim-bookworm AS base
-
-# Use args
-ARG USE_CUDA
-ARG USE_OLLAMA
-ARG USE_CUDA_VER
-ARG USE_EMBEDDING_MODEL
-ARG USE_RERANKING_MODEL
-ARG UID
-ARG GID
-
-## Basis ##
-ENV ENV=prod \
-    PORT=8080 \
-    # pass build args to the build
-    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=${USE_RERANKING_MODEL}
-
-## Basis URL Config ##
-ENV OLLAMA_BASE_URL="/ollama" \
-    OPENAI_API_BASE_URL=""
-
-## API Key and Security Config ##
-ENV OPENAI_API_KEY="" \
-    WEBUI_SECRET_KEY="" \
-    SCARF_NO_ANALYTICS=true \
-    DO_NOT_TRACK=true \
-    ANONYMIZED_TELEMETRY=false
-
-#### Other models #########################################################
-## whisper TTS model settings ##
-ENV WHISPER_MODEL="base" \
-    WHISPER_MODEL_DIR="/app/backend/data/cache/whisper/models"
-
-## RAG Embedding model settings ##
-ENV RAG_EMBEDDING_MODEL="$USE_EMBEDDING_MODEL_DOCKER" \
-    RAG_RERANKING_MODEL="$USE_RERANKING_MODEL_DOCKER" \
-    SENTENCE_TRANSFORMERS_HOME="/app/backend/data/cache/embedding/models"
-
-## Tiktoken model settings ##
-ENV TIKTOKEN_ENCODING_NAME="cl100k_base" \
-    TIKTOKEN_CACHE_DIR="/app/backend/data/cache/tiktoken"
-
-## Hugging Face download cache ##
-ENV HF_HOME="/app/backend/data/cache/embedding/models"
-
-## Torch Extensions ##
-# ENV TORCH_EXTENSIONS_DIR="/.cache/torch_extensions"
-
-#### Other models ##########################################################
-
-WORKDIR /app/backend
-
-ENV HOME=/root
-# Create user and group if not 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
-
-# Make sure the user has access to the app and root directory
-RUN chown -R $UID:$GID /app $HOME
-
-RUN if [ "$USE_OLLAMA" = "true" ]; then \
-    apt-get update && \
-    # Install pandoc and netcat
-    apt-get install -y --no-install-recommends git build-essential pandoc netcat-openbsd curl && \
-    apt-get install -y --no-install-recommends gcc python3-dev && \
-    # for RAG OCR
-    apt-get install -y --no-install-recommends ffmpeg libsm6 libxext6 && \
-    # install helper tools
-    apt-get install -y --no-install-recommends curl jq && \
-    # install ollama
-    curl -fsSL https://ollama.com/install.sh | sh && \
-    # cleanup
-    rm -rf /var/lib/apt/lists/*; \
-    else \
-    apt-get update && \
-    # Install pandoc, netcat and gcc
-    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 && \
-    # for RAG OCR
-    apt-get install -y --no-install-recommends ffmpeg libsm6 libxext6 && \
-    # cleanup
-    rm -rf /var/lib/apt/lists/*; \
-    fi
-
-# install python dependencies
-COPY --chown=$UID:$GID ./backend/requirements.txt ./requirements.txt
-
-RUN pip3 install uv && \
-    if [ "$USE_CUDA" = "true" ]; then \
-    # If you use CUDA the whisper and embedding model will be downloaded on first use
-    pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/$USE_CUDA_DOCKER_VER --no-cache-dir && \
-    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 embedding weight from build
-# RUN mkdir -p /root/.cache/chroma/onnx_models/all-MiniLM-L6-v2
-# COPY --from=build /app/onnx /root/.cache/chroma/onnx_models/all-MiniLM-L6-v2/onnx
-
-# copy built frontend files
-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 backend files
-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"]
+#Dockerfile
+
+FROM ghcr.io/open-webui/open-webui:0.4.7
+
+RUN chmod -R 777 ./data