Use env var for Python app executed in container

bin/create_pod_pytorch.sh

@@ -19,15 +19,14 @@ PYTORCH_HOST_PORT='8086'
 PYTORCH_CONTAINER_PORT='8000'
 BIND_DIR="$HOME/.local/share/$POD_NAME"
 AI_MODELS_DIR="$BIND_DIR/ai-models"
-PYTHON_APPS_DIR="$BIND_DIR/python-apps"
+HOST_PYTHON_APPS_DIR="$BIND_DIR/python-apps"
+# Python app inside container to be executed
+CTR_PY_APP="/python-apps/embed-multimodal-7b.py"
 USER_SYSTEMD_DIR="$HOME/.config/systemd/user"
 CONTAINERFILE="$BIND_DIR/containerfile"
-PY_APP="$PYTHON_APPS_DIR/embed-multimodal-7b.py"
-
-echo "$PY_APP"
 
 # Prepare directories
-mkdir -p "$AI_MODELS_DIR" "$PYTHON_APPS_DIR" "$USER_SYSTEMD_DIR"
+mkdir -p "$AI_MODELS_DIR" "$HOST_PYTHON_APPS_DIR" "$USER_SYSTEMD_DIR"
 
 # Generate containerfile
 cat >"$CONTAINERFILE" <<'EOF'
@@ -39,7 +38,7 @@ FROM ${BASE_IMAGE}
 # Hugging Face caches and Python apps directory (bind-mounted at runtime)
 ENV HF_HOME=/models/hf \
     TRANSFORMERS_CACHE=/models/hf/transformers \
-    PYTHON_APPS_DIR=/python-apps
+    HOST_PYTHON_APPS_DIR=/python-apps
 
 # Ensure directories exist
 RUN mkdir -p /models/hf/transformers /python-apps
@@ -101,10 +100,11 @@ podman run -d --name "$CTR_NAME" --pod "$POD_NAME" \
   -e HF_MODEL_ID="$HF_MODEL_ID" \
   -e HF_MODEL_URL="$HF_MODEL_URL" \
   -e PYTORCH_CONTAINER_PORT="$PYTORCH_CONTAINER_PORT" \
+  -e CTR_PY_APP="$CTR_PY_APP" \
   -v "$AI_MODELS_DIR":/models \
-  -v "$PYTHON_APPS_DIR":/python-apps \
+  -v "$HOST_PYTHON_APPS_DIR":/python-apps \
   "$CUSTOM_IMAGE" \
-  python /python-apps/embed-multimodal-7b.py
+  python "$CTR_PY_APP"
 
 # Wait for API readiness (/health)
 HEALTH_URL="http://$HOST_LOCAL_IP:$PYTORCH_HOST_PORT/health"