Fix PyTorch verification command in Dockerfile to avoid f-string syntax error

Dockerfile

@@ -32,14 +32,11 @@ RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86
     conda config --set auto_activate_base false && \
     conda config --add channels conda-forge
 
-# --- NEW: Accept Conda Terms of Service for default channels ---
-# This is required for non-interactive environments like Docker builds.
-# We source conda.sh first to make the 'conda' command available in this RUN layer.
+# Accept Conda Terms of Service for default channels.
 # We use '. ' (dot space) instead of 'source' as /bin/sh is the default shell.
 RUN . $CONDA_DIR/etc/profile.d/conda.sh && \
     conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/main && \
     conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/r
-# --- END NEW ---
 
 # Copy all local project files into the container's working directory (/app).
 # This includes your cosmos-predict1.yaml, gui/requirements.txt, start.sh, etc.
@@ -55,14 +52,19 @@ ENV CONDA_DEFAULT_ENV=cosmos-predict1
 # This ensures that executables (like python, pip, uvicorn) from this environment are found.
 ENV PATH=$CONDA_DIR/envs/cosmos-predict1/bin:$PATH
 
-# --- Verification Steps (Optional, but highly recommended for debugging) ---
-# These commands help confirm that Python, Conda, and PyTorch are set up correctly.
+# --- Verification Steps ---
 RUN echo "Verifying Python and Conda installations..."
 RUN python --version
 RUN conda env list
 RUN echo "Verifying PyTorch and CUDA availability..."
-# Use 'conda run' to explicitly run the command within the 'cosmos-predict1' environment
-RUN conda run -n cosmos-predict1 python -c "import torch; print(f'PyTorch Version: {torch.__version__}'); print(f'CUDA Available: {torch.cuda.is_available()}'); print(f'CUDA Device Name: {torch.cuda.get_device_name(0) if torch.cuda.is_available() else 'N/A'}')" || echo "PyTorch verification failed. Check dependencies in cosmos-predict1.yaml."
+# REVISED: Use simpler string concatenation and conditional logic in Python
+RUN conda run -n cosmos-predict1 python -c "import torch; \
+    print('PyTorch Version: ' + torch.__version__); \
+    print('CUDA Available: ' + str(torch.cuda.is_available())); \
+    if torch.cuda.is_available(): \
+        print('CUDA Device Name: ' + torch.cuda.get_device_name(0)); \
+    else: \
+        print('CUDA Device Name: N/A')" || echo "PyTorch verification failed. Check dependencies in cosmos-predict1.yaml."
 # --- End Verification Steps ---
 
 # Make the start.sh script executable.