Update Dockerfile

Dockerfile

@@ -2,51 +2,49 @@
 
 # [Choice] Python version (use -bullseye variants on local arm64/Apple Silicon): 3, 3.10, 3.9, 3.8, 3.7, 3.6, 3-bullseye, 3.10-bullseye, 3.9-bullseye, 3.8-bullseye, 3.7-bullseye, 3.6-bullseye, 3-buster, 3.10-buster, 3.9-buster, 3.8-buster, 3.7-buster, 3.6-buster
 FROM tensorflow/tensorflow:2.9.1-gpu
-RUN apt-get install libopenexr-dev -y
-RUN pip install tensorflow-mri
-RUN pip install tqdm
-RUN pip install h5py
-RUN pip install tensorflow-addons
-# RUN pip install sklearn
-RUN pip install scikit-image
-RUN pip install jupyter
-RUN pip install typing_extensions --upgrade
-#RUN pip install neptune
-#RUN pip install neptune-tensorflow-keras
-RUN pip install utils
-RUN pip install matplotlib
-RUN pip install --upgrade pip
-#RUN pip install -U torch-tb-profiler
-RUN pip install opencv-python
-#RUN pip install torch==1.8.1+cu111 torchvision==0.9.1+cu111 torchaudio==0.8.1 -f https://download.pytorch.org/whl/cu111/torch_stable.html
-RUN pip install gdown==2.3.1
-RUN pip install pydicom
-RUN pip install scikit-learn
-RUN pip install tabulate
-RUN pip install pingouin
-RUN pip install streamlit
-RUN pip install openpyxl
-RUN pip install "protobuf<=3.20.3"
-
 
+# System deps
 RUN apt-get update && \
-    apt-get install -y ffmpeg
-
-
-RUN pip install ffmpeg-python
-RUN pip install gputil
-
+    apt-get install -y ffmpeg libopenexr-dev && \
+    rm -rf /var/lib/apt/lists/*
+
+# Python deps (grouped to reduce layers; pins for TF2.9)
+RUN pip install --upgrade pip "protobuf<=3.20.3" && \
+    pip install \
+      tensorflow-addons \
+      tensorflow-mri \
+      h5py \
+      numpy \
+      pandas \
+      matplotlib \
+      pillow \
+      nibabel \
+      scikit-image \
+      opencv-python \
+      pydicom \
+      scikit-learn \
+      tqdm \
+      tabulate \
+      pingouin \
+      openpyxl \
+      streamlit \
+      ffmpeg-python \
+      gdown==2.3.1 \
+      gputil \
+      typing_extensions
+
+# Optional: compressed DICOM/NIfTI codecs (safe to keep even if not used)
+# RUN pip install pylibjpeg pylibjpeg-libjpeg pylibjpeg-openjpeg
 
 # App
 WORKDIR /app
 COPY . /app
 
-# Streamlit settings (optional)
+# Streamlit settings
 ENV STREAMLIT_BROWSER_GATHER_USAGE_STATS=false \
     PYTHONUNBUFFERED=1
 
-EXPOSE 8501
-
-# Start the app
-CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0","server.enableXsrfProtection=false"]
+# Hugging Face Spaces uses $PORT (don’t hardcode 8501)
+EXPOSE 7860
+CMD ["streamlit", "run", "app.py", "--server.port=$PORT", "--server.address=0.0.0.0", "--server.enableXsrfProtection=false"]