Update Dockerfile

Dockerfile

@@ -9,6 +9,7 @@ ENV DEBIAN_FRONTEND=noninteractive \
     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
 
@@ -35,12 +36,12 @@ RUN set -eux; \
       echo "No packages.txt or empty — skipping APT extras."; \
     fi
 
-# ---- PyTorch wheels (cu121) — OK on CUDA 12.8 runtime ----
+# ---- 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 deps ----
+# ---- Python dependencies ----
 COPY requirements.txt /tmp/requirements.txt
 RUN if [ -s /tmp/requirements.txt ]; then \
       python3 -m pip install -r /tmp/requirements.txt; \
@@ -51,16 +52,14 @@ RUN if [ -s /tmp/requirements.txt ]; then \
 # ---- App code ----
 COPY . /app
 
-# (Optional) show GPU info in logs
-RUN python3 - << 'PY'
-import torch, os
-print("== PyTorch ==", torch.__version__)
-print("CUDA available:", torch.cuda.is_available(), "devices:", torch.cuda.device_count())
-if torch.cuda.is_available(): print("GPU0:", torch.cuda.get_device_name(0))
-print("HF cache:", os.getenv("HUGGINGFACE_HUB_CACHE"))
-PY
+# (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 (port 7860) ----
+# ---- 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"]