devandopenhands
98f24faaaf
- Implement feedback management system in admin interface - Add feedback processing and AI-based features - Update user interface with new feedback components - Modify server-side API endpoints for feedback handling - Enhance worker.js for background feedback processing - Update deployment configuration for feedback components Co-authored-by: openhands <openhands@all-hands.dev>
61 lines
2.5 KiB
Docker
61 lines
2.5 KiB
Docker
# syntax=docker/dockerfile:1
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FROM python:3.10-slim
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ARG TORCH_VARIANT=cpu
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ARG TORCH_INDEX=https://download.pytorch.org/whl/${TORCH_VARIANT}
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WORKDIR /app
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ENV PIP_NO_CACHE_DIR=1 \
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PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1 \
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HF_HOME=/root/.cache/huggingface \
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TORCH_HOME=/root/.cache/torch \
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TRANSFORMERS_CACHE=/root/.cache/huggingface \
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XDG_CACHE_HOME=/root/.cache
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RUN apt-get update && apt-get install -y --no-install-recommends libgl1 libglib2.0-0 && rm -rf /var/lib/apt/lists/*
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RUN --mount=type=cache,target=/root/.cache/pip \
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pip install --upgrade pip && \
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pip install "typing-extensions==4.12.2" "numpy==2.2.6"
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RUN --mount=type=cache,target=/root/.cache/pip \
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pip install torch torchvision --index-url ${TORCH_INDEX}
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RUN --mount=type=cache,target=/root/.cache/pip \
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pip install --no-deps basicsr==1.4.2 realesrgan==0.3.0 gfpgan==1.3.8 facexlib==0.3.0 && \
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pip install "numpy==2.2.6" "opencv-python-headless==5.0.0.93" addict future lmdb Pillow pyyaml \
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requests scikit-image scipy tqdm filterpy numba fastapi "uvicorn[standard]" python-multipart
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RUN BASICSR_DEG=$(python -c "import basicsr; import os; print(os.path.join(os.path.dirname(basicsr.__file__), 'data', 'degradations.py'))" 2>/dev/null) || \
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BASICSR_DEG=$(find /usr/local/lib/python3.10 -path "*/basicsr/data/degradations.py" 2>/dev/null | head -1) && \
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if [ -n "$BASICSR_DEG" ]; then \
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sed -i 's/from torchvision.transforms.functional_tensor/from torchvision.transforms.functional/g' "$BASICSR_DEG" && \
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echo "basicsr patch applied to $BASICSR_DEG"; \
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else \
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echo "basicsr degradations.py not found, skipping patch"; \
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fi
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COPY app.py ./
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COPY fetch-weights.py ./
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COPY vendor/ ./vendor/
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ENV PHOTO_AI_MODELS_DIR=/models
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ENV MODEL_PATH=/models/RealESRGAN_x2plus.pth
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ENV PHOTO_AI_SEED_DIR=/opt/photo-ai-seed
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ARG PHOTO_AI_PREFETCH=codeformer
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RUN --mount=type=cache,target=/var/cache/photo-ai-weights,sharing=locked \
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mkdir -p "$PHOTO_AI_SEED_DIR" && \
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if [ -n "$PHOTO_AI_PREFETCH" ] && [ "$PHOTO_AI_PREFETCH" != "none" ]; then \
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python fetch-weights.py "$PHOTO_AI_SEED_DIR" /var/cache/photo-ai-weights || echo "предзагрузка весов не удалась, сервис скачает их при первом запросе"; \
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else \
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echo "предзагрузка весов отключена (PHOTO_AI_PREFETCH=$PHOTO_AI_PREFETCH)"; \
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fi
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VOLUME /models
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8080"]
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