Enhance TTS functionality and improve voice management

- Refactored the TTS generation process to initialize the model globally and load voices dynamically, improving efficiency and usability.
- Introduced a new load_and_validate_voice function to ensure requested voices exist before loading, enhancing error handling.
- Updated generate_tts_with_logs to provide real-time logging during speech generation, including phoneme processing and audio saving.
- Improved audio conversion process with better error handling and temporary file management.
- Set default voice to 'af_bella' in the Gradio interface for improved user experience.

gradio_interface.py

@@ -19,7 +19,6 @@ Dependencies:
 """
 
 import gradio as gr
-import subprocess
 import os
 import sys
 import platform
@@ -28,11 +27,20 @@ import shutil
 from pathlib import Path
 import soundfile as sf
 from pydub import AudioSegment
-from models import list_available_voices
+import torch
+from models import (
+    list_available_voices, build_model, load_voice,
+    generate_speech, load_and_validate_voice
+)
 
 # Global configuration
 CONFIG_FILE = "tts_config.json"  # Stores user preferences and paths
 DEFAULT_OUTPUT_DIR = "outputs"    # Directory for generated audio files
+SAMPLE_RATE = 22050
+
+# Initialize model globally
+device = 'cuda' if torch.cuda.is_available() else 'cpu'
+model = None
 
 def get_available_voices():
     """Get list of available voice models."""
@@ -59,57 +67,55 @@ def convert_audio(input_path: str, output_path: str, format: str):
         print(f"Error converting audio: {e}")
         return False
 
-def generate_tts_with_logs(voice, text, format):
+def generate_tts_with_logs(voice_name, text, format):
     """Generate TTS audio with real-time logging and format conversion."""
+    global model
+    
     if not text.strip():
         return "❌ Error: Text required", None
     
     logs_text = ""
     try:
-        # Use sys.executable to ensure correct Python interpreter
+        # Initialize model if not done yet
-        cmd = [sys.executable, "tts_demo.py", "--text", text, "--voice", voice]
+        if model is None:
+            logs_text += "Loading model...\n"
+            model = build_model("kokoro-v0_19.pth", device)
         
-        # Use shell=True on Windows
+        # Load voice
-        shell = platform.system().lower() == "windows"
+        logs_text += f"Loading voice: {voice_name}\n"
+        yield logs_text, None
+        voice = load_and_validate_voice(voice_name, device)
         
-        process = subprocess.Popen(
+        # Generate speech
-            cmd,
+        logs_text += f"Generating speech for: '{text}'\n"
-            stdout=subprocess.PIPE,
+        yield logs_text, None
-            stderr=subprocess.STDOUT,
+        audio, phonemes = generate_speech(model, text, voice, lang='a', device=device)
-            universal_newlines=True,
-            shell=shell
-        )
         
-        while True:
+        if audio is not None and phonemes:
-            output = process.stdout.readline()
+            try:
-            if output == '' and process.poll() is not None:
+                logs_text += f"Generated phonemes: {phonemes}\n"
-                break
+            except UnicodeEncodeError:
-            if output:
+                logs_text += "Generated phonemes: [Unicode display error]\n"
-                logs_text += output
-                yield logs_text, None
-        
-        if process.returncode != 0:
-            logs_text += "❌ Generation failed\n"
-            yield logs_text, None
-            return
             
-        if not os.path.exists("output.wav"):
+            # Save temporary WAV file
-            logs_text += "❌ No output generated\n"
+            temp_wav = "output.wav"
-            yield logs_text, None
+            sf.write(temp_wav, audio, SAMPLE_RATE)
-            return
+            
-
+            # Convert to desired format
-        timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+            timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-        filename = f"output_{timestamp}.{format}"
+            filename = f"output_{timestamp}.{format}"
-        os.makedirs(DEFAULT_OUTPUT_DIR, exist_ok=True)
+            os.makedirs(DEFAULT_OUTPUT_DIR, exist_ok=True)
-        output_path = Path(DEFAULT_OUTPUT_DIR) / filename
+            output_path = Path(DEFAULT_OUTPUT_DIR) / filename
-        
+            
-        # Convert audio using pydub
+            if convert_audio(temp_wav, str(output_path), format):
-        if convert_audio("output.wav", str(output_path), format):
+                logs_text += f"✅ Saved: {output_path}\n"
-            logs_text += f"✅ Saved: {output_path}\n"
+                os.remove(temp_wav)
-            os.remove("output.wav")
+                yield logs_text, str(output_path)
-            yield logs_text, str(output_path)
+            else:
+                logs_text += "❌ Audio conversion failed\n"
+                yield logs_text, None
         else:
-            logs_text += "❌ Audio conversion failed\n"
+            logs_text += "❌ Failed to generate audio\n"
             yield logs_text, None
 
     except Exception as e:
@@ -180,7 +186,7 @@ def create_interface(server_name="0.0.0.0", server_port=7860):
                     voice = gr.Dropdown(
                         choices=get_available_voices(),
                         label="🗣️ Select Voice",
-                        value=None
+                        value="af_bella"
                     )
                     format = gr.Radio(
                         choices=["wav", "mp3", "aac"],

models.py

@@ -15,13 +15,31 @@ warnings.filterwarnings("ignore", category=FutureWarning, module="torch.nn.utils
 warnings.filterwarnings("ignore", category=UserWarning, module="torch.nn.modules.rnn")
 os.environ["HF_HUB_DISABLE_SYMLINKS_WARNING"] = "1"
 
-__all__ = ['list_available_voices', 'build_model', 'load_voice', 'generate_speech']
+__all__ = ['list_available_voices', 'build_model', 'load_voice', 'generate_speech', 'load_and_validate_voice']
 
 def get_voices_path():
     """Get the path where voice files are stored."""
     # Store voices in a 'voices' directory in the project root
     return str(Path(__file__).parent / "voices")
 
+def load_and_validate_voice(voice_name: str, device: str) -> torch.Tensor:
+    """Load and validate the requested voice.
+    
+    Args:
+        voice_name: Name of the voice to load
+        device: Device to load the voice on ('cuda' or 'cpu')
+        
+    Returns:
+        Loaded voice tensor
+        
+    Raises:
+        ValueError: If the requested voice doesn't exist
+    """
+    available_voices = list_available_voices()
+    if voice_name not in available_voices:
+        raise ValueError(f"Voice '{voice_name}' not found. Available voices: {', '.join(available_voices)}")
+    return load_voice(voice_name, device)
+
 def list_available_voices():
     """List all available voices from the official voicepacks."""
     voices_path = get_voices_path()
@@ -109,6 +127,12 @@ def setup_espeak():
             
         EspeakWrapper.set_library(lib_path)
         EspeakWrapper.data_path = data_path
+        
+        # Configure phonemizer for UTF-8
+        os.environ["PHONEMIZER_ESPEAK_LIBRARY"] = lib_path
+        os.environ["PHONEMIZER_ESPEAK_PATH"] = data_path
+        os.environ["PYTHONIOENCODING"] = "utf-8"
+        
         print("espeak-ng library paths set up successfully")
         
     except Exception as e:
@@ -203,7 +227,37 @@ def generate_speech(model, text, voice=None, lang='a', device='cpu'):
         kokoro_py = hf_hub_download(repo_id=repo_id, filename="kokoro.py")
         kokoro_module = import_module_from_path("kokoro", kokoro_py)
         
+        # Generate speech
         audio, phonemes = kokoro_module.generate(model, text, voice, lang=lang)
+        
+        # Handle phonemes encoding
+        if phonemes:
+            try:
+                # Debug info
+                print(f"Debug - Original phonemes type: {type(phonemes)}")
+                print(f"Debug - Original phonemes: {repr(phonemes)}")
+                
+                # Convert to string if it's bytes
+                if isinstance(phonemes, bytes):
+                    phonemes = phonemes.decode('utf-8', errors='replace')
+                # If it's a string, ensure it's valid UTF-8
+                elif isinstance(phonemes, str):
+                    # Replace problematic characters with their ASCII approximations
+                    replacements = {
+                        'É™': 'ə',
+                        'ÊŠ': 'ʊ',
+                        'Ê': 'ʃ',
+                        'æ': 'ae'
+                    }
+                    for old, new in replacements.items():
+                        phonemes = phonemes.replace(old, new)
+                
+                print(f"Debug - Processed phonemes: {repr(phonemes)}")
+            except Exception as e:
+                print(f"Debug - Encoding error: {str(e)}")
+                # Last resort: strip to ASCII
+                phonemes = ''.join(c for c in str(phonemes) if ord(c) < 128)
+        
         return audio, phonemes
     except Exception as e:
         print(f"Error generating speech: {e}")

tts_demo.py

@@ -87,10 +87,18 @@ def main() -> None:
             pbar.update(1)
         
         if audio is not None:
-            print(f"Generated phonemes: {phonemes}")
+            try:
-            output_path = Path(args.output)
+                if phonemes:
-            sf.write(output_path, audio, SAMPLE_RATE)
+                    try:
-            print(f"\nAudio saved to {output_path.absolute()}")
+                        print(f"Generated phonemes: {phonemes}")
+                    except UnicodeEncodeError:
+                        print("Generated phonemes: [Unicode display error - phonemes were generated but cannot be displayed]")
+                output_path = Path(args.output)
+                sf.write(output_path, audio, SAMPLE_RATE)
+                print(f"\nAudio saved to {output_path.absolute()}")
+            except Exception as e:
+                print(f"Error saving output: {e}")
+                print("Audio generation was successful, but saving failed.")
         else:
             print("Error: Failed to generate audio")