diff --git a/checkCUDA.py b/checkCUDA.py
new file mode 100644
index 0000000..ded4629
--- /dev/null
+++ b/checkCUDA.py
@@ -0,0 +1,94 @@
+"""
+    From https://github.com/rhasspy/piper/issues/24
+"""
+
+import torch
+import os
+
+def print_cuda_details():
+
+    if torch.cuda.is_available():
+        # GPU device details
+        device_id = torch.cuda.current_device()
+        device_name = torch.cuda.get_device_name(device_id)
+        total_memory = torch.cuda.get_device_properties(device_id).total_memory / (1024**3)  # GB
+        memory_allocated = torch.cuda.memory_allocated(device_id) / (1024**3)  # GB
+        memory_cached = torch.cuda.memory_reserved(device_id) / (1024**3)  # GB
+        multiprocessors = torch.cuda.get_device_properties(device_id).multi_processor_count
+        
+        # CUDA and PyTorch versions
+        cuda_version = torch.version.cuda
+        pytorch_version = torch.__version__
+
+        # Device properties
+        device_properties = torch.cuda.get_device_properties(device_id)
+        compute_capability = device_properties.major, device_properties.minor
+        
+        # Display the details with improved formatting
+        print("~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~")
+        print(f"")
+        print("Checking CUDA information within the python environment...")
+        print(f"")
+
+        print("###########################################################")
+        print(f"CUDA Available:         TRUE")
+        print(f"Using GPU:              {device_name}")
+        print("###########################################################")
+        print(f"")
+
+        print(f"CUDA Version:           {cuda_version}")
+        print(f"PyTorch Version:        {pytorch_version}")
+        print(f"Device ID:              {device_id}")
+        print(f"Total Memory:           {total_memory:.2f} GB")
+        print(f"Memory Allocated:       {memory_allocated:.2f} GB")
+        print(f"Memory Cached:          {memory_cached:.2f} GB")
+        print(f"Multiprocessors:        {multiprocessors}")
+        print(f"Compute Capability:     {compute_capability[0]}.{compute_capability[1]}")
+        print(f"")
+
+        # Device Name
+        print(f"CUDA Device Name:       {torch.cuda.get_device_name(device_id)}")
+        print(f"")
+
+        # CUDA Path (from environment variables)
+        cuda_path = os.getenv('CUDA_PATH', 'Not set')
+        print(f"CUDA Path:              {cuda_path}")
+        
+        # CUDA Toolkit Directory (check via environment variable if available)
+        cuda_toolkit_dir = os.getenv('CUDA_HOME', 'Not set')
+        print(f"CUDA Toolkit Dir:       {cuda_toolkit_dir}")
+        
+        # Environment Variables
+        print(f"\n")
+        print("=================================================")
+        print("--- Below are OS SYSTEM Environment Variables ---")
+        print(" not just whats available within the python VENV")
+        print("=================================================")
+        print(f"")
+
+        print(f"{'CUDA_HOME:':<25} {os.environ.get('CUDA_HOME', 'Not set')}")
+        print(f"")
+
+        print(f"{'CUDA_VISIBLE_DEVICES:':<25} {os.environ.get('CUDA_VISIBLE_DEVICES', 'Not set')}")
+        print(f"")
+
+        print(f"{'LD_LIBRARY_PATH:':<25} {os.environ.get('LD_LIBRARY_PATH', 'Not set')}")
+        print(f"")
+
+        print(f"{'PATH:':<25} {os.environ.get('PATH', 'Not set')}")
+        print(f"")
+
+        print("~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~")
+    else:
+        print("##############################################################")
+        print("CUDA is NOT available! You may need to reinstall Pytorch/Torch")
+        print("Falling back to using CPU.")
+        print("##############################################################")
+        print(f"")
+
+        # Provide details for CPU-based configurations
+        print(f"PyTorch Version:        {torch.__version__}")
+        print("~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~")
+
+# Call the function to print details
+print_cuda_details()
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