till
7c23c3f4c7
- Telegram-Bot (Polling) mit Inline-Menue: Klarbild x2/x4, Freistellen, kombiniert - Upscaling via OpenCV dnn_superres (FSRCNN default, EDSR optional), gekachelt - Freistellen via rembg (isnet-general-use, Alpha-Matting) - Picdrop-Batch via SFTP (/picdrop) - Health-Server (aiohttp) fuer Coolify, Zugriffsschutz via ALLOWED_USER_IDS - Dockerfile backt Modelle (SR von raw.githubusercontent, rembg von HF-Mirror) Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01XNQ8ghPfzAfsyVYd6HgFb6
39 lines
1.3 KiB
Docker
39 lines
1.3 KiB
Docker
FROM python:3.11-slim
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ENV PYTHONUNBUFFERED=1 \
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PIP_NO_CACHE_DIR=1 \
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MODELS_DIR=/app/models \
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U2NET_HOME=/app/models/u2net \
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WORK_DIR=/tmp/klarbild \
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PORT=8080
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WORKDIR /app
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# System-Abhaengigkeiten (OpenMP fuer onnxruntime/opencv, curl fuer Modelle)
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RUN apt-get update && apt-get install -y --no-install-recommends \
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curl ca-certificates libgomp1 libglib2.0-0 \
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&& rm -rf /var/lib/apt/lists/*
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COPY requirements.txt .
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RUN pip install -r requirements.txt
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# Super-Resolution-Modelle (EDSR/FSRCNN) beim Build backen
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COPY scripts/ scripts/
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RUN bash scripts/fetch_models.sh /app/models
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# Freistell-Modell (rembg isnet-general-use) vom HuggingFace-Mirror vorladen,
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# damit zur Laufzeit kein externer Download noetig ist
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RUN mkdir -p /app/models/u2net && \
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curl -fL --retry 3 -o /app/models/u2net/isnet-general-use.onnx \
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"https://huggingface.co/tomjackson2023/rembg/resolve/main/isnet-general-use.onnx"
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COPY app/ app/
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EXPOSE 8080
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# Simpler HTTP-Healthcheck (Health-Server laeuft im Bot-Prozess)
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HEALTHCHECK --interval=30s --timeout=5s --start-period=40s --retries=3 \
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CMD python -c "import urllib.request,sys; sys.exit(0 if urllib.request.urlopen('http://127.0.0.1:8080/health',timeout=3).status==200 else 1)"
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CMD ["python", "-m", "app.bot"]
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