fix: improve Apple Silicon compatibility

demo.py

@@ -24,7 +24,7 @@ def main():
     parser = ArgumentParser()
     parser.add_argument('--variant',
                         type=str,
-                        default='large_44k_v2',
+                        default='small_44k',
                         help='small_16k, small_44k, medium_44k, large_44k, large_44k_v2')
     parser.add_argument('--video', type=Path, help='Path to the video file')
     parser.add_argument('--prompt', type=str, help='Input prompt', default='')
@@ -62,14 +62,9 @@ def main():
     skip_video_composite: bool = args.skip_video_composite
     mask_away_clip: bool = args.mask_away_clip
 
+    # Force CPU
     device = 'cpu'
-    if torch.cuda.is_available():
-        device = 'cuda'
-    elif torch.backends.mps.is_available():
-        device = 'mps'
-    else:
-        log.warning('CUDA/MPS are not available, running on CPU')
-    dtype = torch.float32 if args.full_precision else torch.bfloat16
+    dtype = torch.float32
 
     output_dir.mkdir(parents=True, exist_ok=True)
 

gradio_demo.py

@@ -3,6 +3,7 @@
 from datetime import datetime
 from fractions import Fraction
 from pathlib import Path
+import os
 
 import gradio as gr
 import torch
@@ -15,25 +16,38 @@
 from mmaudio.model.sequence_config import SequenceConfig
 from mmaudio.model.utils.features_utils import FeaturesUtils
 
-torch.backends.cuda.matmul.allow_tf32 = True
-torch.backends.cudnn.allow_tf32 = True
-
+# Set up logging
+setup_eval_logging()
 log = logging.getLogger()
 
-device = 'cpu'
-if torch.cuda.is_available():
-    device = 'cuda'
-elif torch.backends.mps.is_available():
-    device = 'mps'
-else:
-    log.warning('CUDA/MPS are not available, running on CPU')
-dtype = torch.bfloat16
-
-model: ModelConfig = all_model_cfg['large_44k_v2']
-model.download_if_needed()
-output_dir = Path('./output/gradio')
-
-setup_eval_logging()
+# Configure device and model
+device = 'cpu'  # Force CPU for better compatibility
+dtype = torch.float32  # Use float32 instead of bfloat16 for better compatibility
+
+# Disable MPS/CUDA to ensure consistent behavior
+torch.backends.cuda.matmul.allow_tf32 = False
+torch.backends.cudnn.allow_tf32 = False
+
+# Set environment variable for MPS fallback
+os.environ['PYTORCH_ENABLE_MPS_FALLBACK'] = '1'
+
+# Parse arguments
+parser = ArgumentParser()
+parser.add_argument('--port', type=int, default=7861)
+parser.add_argument('--variant', type=str, default='small_44k', choices=list(all_model_cfg.keys()))
+args = parser.parse_args()
+
+# Load model
+try:
+    model: ModelConfig = all_model_cfg[args.variant]
+    if not model.model_path.exists():
+        log.info(f'Downloading model weights for {args.variant}...')
+        model.download_if_needed()
+    output_dir = Path('./output/gradio')
+    output_dir.mkdir(exist_ok=True, parents=True)
+except Exception as e:
+    log.error(f'Error loading model: {e}')
+    raise
 
 
 def get_model() -> tuple[MMAudio, FeaturesUtils, SequenceConfig]:
@@ -330,10 +344,29 @@ def text_to_audio(prompt: str, negative_prompt: str, seed: int, num_steps: int,
 )
 
 if __name__ == "__main__":
-    parser = ArgumentParser()
-    parser.add_argument('--port', type=int, default=7860)
-    args = parser.parse_args()
-
-    gr.TabbedInterface([video_to_audio_tab, text_to_audio_tab, image_to_audio_tab],
-                       ['Video-to-Audio', 'Text-to-Audio', 'Image-to-Audio (experimental)']).launch(
-                           server_port=args.port, allowed_paths=[output_dir])
+    # Basic configuration
+    import os
+    os.environ["GRADIO_DEBUG"] = "1"
+    os.environ["GRADIO_ANALYTICS_ENABLED"] = "false"  # Disable analytics
+
+    # Create a simple interface first
+    with gr.Blocks(css="button {background: #1565c0}") as interface:
+        gr.Markdown("# MMAudio")
+
+        with gr.Tab("Text-to-Audio"):
+            text_to_audio_tab.render()
+
+        with gr.Tab("Video-to-Audio"):
+            video_to_audio_tab.render()
+
+        with gr.Tab("Image-to-Audio"):
+            image_to_audio_tab.render()
+
+    # Launch with minimal configuration
+    interface.launch(
+        server_name="127.0.0.1",  # Only local access
+        server_port=7863,
+        show_error=True,
+        allowed_paths=[output_dir],
+        prevent_thread_lock=True
+    )