Fix Docker build: install torch before torch_scatter

Dockerfile

@@ -7,7 +7,13 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     build-essential git && \
     rm -rf /var/lib/apt/lists/*
 
-# Python deps
+# Step 1: Install torch first (needed by torch_scatter/torch_sparse at build time)
+RUN pip install --no-cache-dir torch==2.6.0+cpu -f https://download.pytorch.org/whl/cpu/torch_stable.html
+
+# Step 2: Install torch extensions that need torch at setup time
+RUN pip install --no-cache-dir torch_scatter torch_sparse -f https://data.pyg.org/whl/torch-2.6.0+cpu.html
+
+# Step 3: Other Python deps
 COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 
@@ -18,8 +24,8 @@ COPY . .
 RUN pip install --no-cache-dir -e .
 
 # Streamlit config
-RUN mkdir -p /root/.streamlit
-RUN echo '[server]\nheadless = true\nport = 7860\nenableCORS = false\nenableXsrfProtection = false\n' > /root/.streamlit/config.toml
+RUN mkdir -p /root/.streamlit && \
+    printf '[server]\nheadless = true\nport = 7860\nenableCORS = false\nenableXsrfProtection = false\n' > /root/.streamlit/config.toml
 
 EXPOSE 7860
 

requirements.txt

@@ -1,14 +1,12 @@
 # PETIMOT Explorer — HuggingFace Spaces
+# Note: torch, torch_scatter, torch_sparse installed separately in Dockerfile
 streamlit>=1.30.0
 stmol>=0.0.9
 py3Dmol>=2.0.0
 plotly>=5.18.0
 pandas>=2.0.0
 numpy>=1.24.0
-torch>=2.0.0
 torch_geometric>=2.0.0
-torch_scatter
-torch_sparse
 transformers>=4.30.0
 sentencepiece>=0.1.99
 scipy>=1.10.0