Upgrade to FULL mode: torch CUDA + transformers + bitsandbytes

Dockerfile

@@ -10,15 +10,23 @@ RUN useradd -m -u 1000 appuser
 
 WORKDIR /app
 
-# Copy requirements first for layer caching
+# Install PyTorch with CUDA 12.1 support
+RUN pip install --no-cache-dir \
+    torch==2.3.1 --index-url https://download.pytorch.org/whl/cu121
+
+# Install ML dependencies
+RUN pip install --no-cache-dir \
+    transformers>=4.44.0 \
+    accelerate>=0.34.0 \
+    "bitsandbytes>=0.46.1" \
+    sentencepiece>=0.2.0 \
+    huggingface_hub>=0.25.0
+
+# Install backend dependencies
 COPY murshid_backend/requirements_light.txt ./requirements.txt
 RUN pip install --no-cache-dir -r requirements.txt \
     && pip install --no-cache-dir openpyxl aiofiles scikit-learn
 
-# Optional: install torch CPU-only for LOCAL mode (SecureBERT+ embeddings)
-# Uncomment the next line if you want LOCAL mode (adds ~800MB to image)
-# RUN pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cpu transformers sentencepiece
-
 # Copy backend code
 COPY murshid_backend/ ./murshid_backend/
 
@@ -28,15 +36,17 @@ COPY Needed/ ./Needed/
 # Copy frontend
 COPY murshid_frontend/ ./murshid_frontend/
 
-# Create writable directory for SQLite DB
-RUN mkdir -p /app/data && chown -R appuser:appuser /app
+# Create writable directory for SQLite DB + HF cache
+RUN mkdir -p /app/data /home/appuser/.cache && chown -R appuser:appuser /app /home/appuser
 
 # Setup environment
 ENV MURSHID_DB_URL=sqlite:////app/data/murshid.db
 ENV MURSHID_MODELS_DIR=/app/Needed
-ENV MURSHID_SKIP_LLM=true
+ENV MURSHID_SKIP_LLM=false
 ENV SECRET_KEY=murshid_hf_space_2026
 ENV PORT=7860
+ENV HF_HOME=/home/appuser/.cache/huggingface
+ENV TRANSFORMERS_CACHE=/home/appuser/.cache/huggingface/hub
 
 # Run DB migrations + import templates + start server
 COPY start.sh ./start.sh