Enhance MLX and PyTorch Backend Integration

- Added support for MLX backend on Apple Silicon, enabling optimized performance for TTS and STT tasks.
- Implemented platform detection to dynamically select between MLX and PyTorch based on the runtime environment.
- Updated build process to include MLX-specific dependencies and configurations for macOS.
- Refactored backend code to improve model loading and inference logic, accommodating backend-specific requirements.
- Enhanced documentation to clarify backend selection and performance benefits for different platforms.
- Streamlined installation instructions and troubleshooting guidance for MLX-related issues.

tauri/src-tauri/src/audio_output.rs

@@ -1,5 +1,5 @@
 use cpal::traits::{DeviceTrait, HostTrait, StreamTrait};
-use cpal::{Device, Host, SampleFormat, Stream, StreamConfig};
+use cpal::{Device, Host, SampleFormat, StreamConfig};
 use std::sync::{Arc, Mutex};
 use std::sync::atomic::{AtomicBool, AtomicUsize, Ordering};
 
@@ -281,9 +281,6 @@ impl AudioOutputState {
         let interleaved = self.interleave_channels(&resampled, channels, device_channels);
         eprintln!("play_to_device: Interleaved to {} samples", interleaved.len());
 
-        // Calculate duration before moving interleaved
-        let duration_secs = (interleaved.len() as f64 / (device_sample_rate as f64 * device_channels as f64)).ceil() as u64 + 1;
-
         // Create shared buffer for playback
         let buffer: Arc<Mutex<Vec<f32>>> = Arc::new(Mutex::new(interleaved));
         let position = Arc::new(AtomicUsize::new(0));

tauri/src-tauri/src/main.rs

@@ -635,13 +635,6 @@ pub fn run() {
                 }
             }
 
-            // Get all windows and open devtools on the first one
-            if let Some((_, window)) = app.webview_windows().iter().next() {
-                window.open_devtools();
-                println!("Dev tools opened");
-            } else {
-                println!("No window found to open dev tools");
-            }
             Ok(())
         })
         .invoke_handler(tauri::generate_handler![