diff --git a/abogen/conversion.py b/abogen/conversion.py
index 1d3d645..7be5fc8 100644
--- a/abogen/conversion.py
+++ b/abogen/conversion.py
@@ -23,6 +23,7 @@ import abogen.hf_tracker as hf_tracker
 import static_ffmpeg
 import threading  # for efficient waiting
 import subprocess
+import platform
 
 
 def get_sample_voice_text(lang_code):
@@ -310,8 +311,15 @@ class ConversionThread(QThread):
 
             self.log_updated.emit("\nInitializing TTS pipeline...")
 
-            # Set device based on use_gpu setting
-            device = "cuda" if self.use_gpu else "cpu"
+            # Set device based on use_gpu setting and platform
+            if self.use_gpu:
+                if platform.system() == "Darwin" and platform.processor() == "arm":
+                    device = "mps"  # Use MPS for Apple Silicon
+                else:
+                    device = "cuda"  # Use CUDA for other platforms
+            else:
+                device = "cpu"
+
             tts = self.KPipeline(
                 lang_code=self.lang_code, repo_id="hexgrad/Kokoro-82M", device=device
             )
@@ -1319,7 +1327,16 @@ class VoicePreviewThread(QThread):
 
         # Generate the preview and save to cache
         try:
-            device = "cuda" if self.use_gpu else "cpu"
+
+            # Set device based on use_gpu setting and platform
+            if self.use_gpu:
+                if platform.system() == "Darwin" and platform.processor() == "arm":
+                    device = "mps"  # Use MPS for Apple Silicon
+                else:
+                    device = "cuda"  # Use CUDA for other platforms
+            else:
+                device = "cpu"
+
             tts = self.kpipeline_class(
                 lang_code=self.lang_code, repo_id="hexgrad/Kokoro-82M", device=device
             )
diff --git a/abogen/utils.py b/abogen/utils.py
index 27c8833..b08bd64 100644
--- a/abogen/utils.py
+++ b/abogen/utils.py
@@ -239,13 +239,23 @@ def calculate_text_length(text):
 def get_gpu_acceleration(enabled):
     try:
         import torch
-        from torch.cuda import is_available
+        from torch.cuda import is_available as cuda_available
 
         if not enabled:
-            return "CUDA GPU available but using CPU.", False
-        if is_available():
+            return "GPU available but using CPU.", False
+        
+        # Check for Apple Silicon MPS
+        if platform.system() == "Darwin" and platform.processor() == "arm":
+            if torch.backends.mps.is_available():
+                return "MPS GPU available and enabled.", True
+            else:
+                return "MPS GPU not available on Apple Silicon. Using CPU.", False
+        
+        # Check for CUDA
+        if cuda_available():
             return "CUDA GPU available and enabled.", True
-        # Gather more diagnostic info if CUDA is not available
+        
+        # Gather CUDA diagnostic info if not available
         try:
             cuda_devices = torch.cuda.device_count()
             cuda_error = (
@@ -257,7 +267,7 @@ def get_gpu_acceleration(enabled):
             cuda_error = str(e)
         return f"CUDA GPU is not available. Using CPU. ({cuda_error})", False
     except Exception as e:
-        return f"Error checking CUDA GPU: {e}", False
+        return f"Error checking GPU: {e}", False
 
 
 def prevent_sleep_start():