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-# ==== GPU base (CUDA 12.8 + cuDNN, Ubuntu 22.04) ====
-FROM nvidia/cuda:12.8.0-cudnn-runtime-ubuntu22.04
-
-ENV DEBIAN_FRONTEND=noninteractive \
-    PIP_NO_CACHE_DIR=1 \
-    HF_HUB_ENABLE_HF_TRANSFER=1 \
-    HUGGINGFACE_HUB_CACHE=/data/hf_cache \
-    TRANSFORMERS_CACHE=/data/hf_cache \
-    TORCH_HOME=/data/torch \
-    MPLCONFIGDIR=/tmp/mpl
-
-# Opret persistente mapper
-RUN mkdir -p /data/hf_cache /data/torch /app && chmod -R 777 /data
-WORKDIR /app
-
-# ---- Core tools ----
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    ca-certificates wget curl git git-lfs \
-    python3 python3-pip python3-venv python3-dev \
-    build-essential pkg-config \
-    && git lfs install \
-    && rm -rf /var/lib/apt/lists/*
-
-# ---- Optional APT from packages.txt (comments filtered) ----
-COPY packages.txt /tmp/packages.txt
-RUN set -eux; \
-    if [ -s /tmp/packages.txt ]; then \
-      apt-get update; \
-      tr -d '\r' < /tmp/packages.txt \
-        | sed 's/#.*$//' \
-        | awk 'NF{print $1}' > /tmp/pkg.list; \
-      echo "APT installing:"; cat /tmp/pkg.list || true; \
-      xargs -r apt-get install -y --no-install-recommends < /tmp/pkg.list || true; \
-      rm -rf /var/lib/apt/lists/*; \
-    else \
-      echo "No packages.txt or empty — skipping APT extras."; \
-    fi
-
-# ---- PyTorch wheels (cu121) — fungerer på CUDA 12.8 runtime ----
-RUN python3 -m pip install --upgrade pip
-RUN python3 -m pip install --index-url https://download.pytorch.org/whl/cu121 \
-    torch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1
-
-# ---- Python dependencies ----
-COPY requirements.txt /tmp/requirements.txt
-RUN if [ -s /tmp/requirements.txt ]; then \
-      python3 -m pip install -r /tmp/requirements.txt; \
-    else \
-      echo "No requirements.txt or empty; skipping."; \
-    fi
-
-# ---- App code ----
-COPY . /app
-
-# (Optional) GPU info i logs
-RUN python3 -c "import os, torch; \
-print('== PyTorch ==', torch.__version__); \
-print('CUDA available:', torch.cuda.is_available(), 'devices:', torch.cuda.device_count()); \
-print('GPU0:', torch.cuda.get_device_name(0) if torch.cuda.is_available() else 'n/a'); \
-print('HF cache:', os.getenv('HUGGINGFACE_HUB_CACHE'))"
-
-# ---- Streamlit on HF Spaces ----
-EXPOSE 7860
-ENV STREAMLIT_BROWSER_GATHER_USAGE_STATS=false
-CMD ["streamlit", "run", "app.py", "--server.port=7860", "--server.address=0.0.0.0"]