mirror of https://github.com/open-webui/open-webui
65 lines
1.7 KiB
Docker
65 lines
1.7 KiB
Docker
# syntax=docker/dockerfile:1
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FROM node:alpine as build
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WORKDIR /app
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# wget embedding model weight from alpine (does not exist from slim-buster)
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RUN wget "https://chroma-onnx-models.s3.amazonaws.com/all-MiniLM-L6-v2/onnx.tar.gz" -O - | \
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tar -xzf - -C /app
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COPY package.json package-lock.json ./
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RUN npm ci
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COPY . .
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RUN npm run build
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FROM python:3.11-slim-bookworm as base
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ENV ENV=prod
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ENV PORT ""
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ENV OLLAMA_API_BASE_URL "/ollama/api"
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ENV OPENAI_API_BASE_URL ""
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ENV OPENAI_API_KEY ""
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ENV WEBUI_SECRET_KEY ""
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ENV SCARF_NO_ANALYTICS true
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ENV DO_NOT_TRACK true
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#Whisper TTS Settings
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ENV WHISPER_MODEL="base"
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ENV WHISPER_MODEL_DIR="/app/backend/data/cache/whisper/models"
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WORKDIR /app/backend
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# install python dependencies
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COPY ./backend/requirements.txt ./requirements.txt
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RUN pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir
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RUN pip3 install -r requirements.txt --no-cache-dir
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# Install pandoc and netcat
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# RUN python -c "import pypandoc; pypandoc.download_pandoc()"
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RUN apt-get update \
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&& apt-get install -y pandoc netcat-openbsd \
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&& rm -rf /var/lib/apt/lists/*
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# RUN python -c "from sentence_transformers import SentenceTransformer; model = SentenceTransformer('all-MiniLM-L6-v2')"
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RUN 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'])"
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# copy embedding weight from build
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RUN mkdir -p /root/.cache/chroma/onnx_models/all-MiniLM-L6-v2
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COPY --from=build /app/onnx /root/.cache/chroma/onnx_models/all-MiniLM-L6-v2/onnx
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# copy built frontend files
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COPY --from=build /app/build /app/build
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# copy backend files
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COPY ./backend .
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CMD [ "bash", "start.sh"] |