updated with startup script

.env.example

@@ -0,0 +1,27 @@
+# Chatterbox TTS Application Configuration
+# Copy this file to .env and adjust values for your environment
+
+# Project paths (adjust these for your system)
+PROJECT_ROOT=/path/to/your/chatterbox-ui
+SPEAKER_SAMPLES_DIR=${PROJECT_ROOT}/speaker_data/speaker_samples
+TTS_TEMP_OUTPUT_DIR=${PROJECT_ROOT}/tts_temp_outputs
+DIALOG_GENERATED_DIR=${PROJECT_ROOT}/backend/tts_generated_dialogs
+
+# Backend server configuration
+BACKEND_HOST=0.0.0.0
+BACKEND_PORT=8000
+BACKEND_RELOAD=true
+
+# Frontend development server configuration
+FRONTEND_HOST=127.0.0.1
+FRONTEND_PORT=8001
+
+# API URLs (usually derived from backend configuration)
+API_BASE_URL=http://localhost:8000
+API_BASE_URL_WITH_PREFIX=http://localhost:8000/api
+
+# CORS configuration (comma-separated list)
+CORS_ORIGINS=http://localhost:8001,http://127.0.0.1:8001,http://localhost:3000,http://127.0.0.1:3000
+
+# Device configuration for TTS model (auto, cpu, cuda, mps)
+DEVICE=auto

.gitignore

@@ -9,5 +9,16 @@ dialog_output/
 __pycache__
 projects/
 
+# Environment files
+.env
+.env.local
+.env.*.local
+backend/.env
+frontend/.env
+
+# Generated directories
+tts_temp_outputs/
+backend/tts_generated_dialogs/
+
 # Node.js dependencies
 node_modules/

AGENTS.md

@@ -0,0 +1,41 @@
+# Agent Guidelines for Chatterbox-UI
+
+## Build/Test Commands
+```bash
+# Backend (FastAPI)
+pip install -r backend/requirements.txt
+uvicorn backend.app.main:app --reload --host 0.0.0.0 --port 8000
+python backend/run_api_test.py  # Run all backend tests
+
+# Frontend
+npm test  # Run all frontend tests
+npx jest frontend/tests/api.test.js  # Run single test file
+```
+
+## Code Style Guidelines
+
+### Python
+- Use type hints (from typing import Optional, List, etc.)
+- Exception handling: Use try/except with specific exceptions
+- Async/await for FastAPI endpoints and services
+- Docstrings for functions and classes
+- Use pathlib.Path for file operations
+- Organize code into routers, models, and services
+
+### JavaScript
+- ES6 modules with import/export
+- JSDoc comments for functions
+- Async/await for API calls
+- Proper error handling with detailed messages
+- Descriptive variable and function names
+- Consistent error handling pattern in API calls
+
+### Error Handling
+- Backend: Raise specific exceptions, use try/except/finally
+- Frontend: Use try/catch with detailed error messages
+- Always include error details in API responses
+
+### Naming Conventions
+- Python: snake_case for variables/functions, PascalCase for classes
+- JavaScript: camelCase for variables/functions
+- Descriptive, intention-revealing names

ENVIRONMENT_SETUP.md

@@ -0,0 +1,153 @@
+# Environment Configuration Guide
+
+This guide explains how to configure the Chatterbox TTS application for different environments using environment variables.
+
+## Quick Setup
+
+1. **Run the setup script:**
+   ```bash
+   python setup.py
+   ```
+
+2. **Install backend dependencies:**
+   ```bash
+   cd backend
+   pip install -r requirements.txt
+   ```
+
+3. **Start the servers:**
+   ```bash
+   # Terminal 1 - Backend
+   cd backend
+   python start_server.py
+   
+   # Terminal 2 - Frontend
+   cd frontend
+   python start_dev_server.py
+   ```
+
+4. **Open the application:**
+   Open http://127.0.0.1:8001 in your browser
+
+## Manual Configuration
+
+### Environment Files
+
+The application uses environment variables for configuration. Three `.env` files control different aspects:
+
+- **Root `.env`**: Global configuration
+- **`backend/.env`**: Backend-specific settings
+- **`frontend/.env`**: Frontend-specific settings
+
+### Key Configuration Options
+
+#### Paths
+- `PROJECT_ROOT`: Base directory for the project
+- `SPEAKER_SAMPLES_DIR`: Directory containing speaker audio samples
+- `TTS_TEMP_OUTPUT_DIR`: Temporary directory for TTS processing
+- `DIALOG_GENERATED_DIR`: Directory for generated dialog audio files
+
+#### Server Configuration
+- `HOST`: Backend server host (default: 0.0.0.0)
+- `PORT`: Backend server port (default: 8000)
+- `RELOAD`: Enable auto-reload for development (default: true)
+
+#### Frontend Configuration
+- `VITE_API_BASE_URL`: Backend API base URL
+- `VITE_DEV_SERVER_PORT`: Frontend development server port
+- `VITE_DEV_SERVER_HOST`: Frontend development server host
+
+#### CORS Configuration
+- `CORS_ORIGINS`: Comma-separated list of allowed origins
+
+#### Device Configuration
+- `DEVICE`: Device for TTS model (auto, cpu, cuda, mps)
+
+## Example Configurations
+
+### Development Environment
+```bash
+# .env
+PROJECT_ROOT=/Users/yourname/chatterbox-ui
+BACKEND_PORT=8000
+FRONTEND_PORT=8001
+DEVICE=auto
+CORS_ORIGINS=http://localhost:8001,http://127.0.0.1:8001
+```
+
+### Production Environment
+```bash
+# .env
+PROJECT_ROOT=/opt/chatterbox-ui
+BACKEND_HOST=0.0.0.0
+BACKEND_PORT=8000
+FRONTEND_PORT=3000
+DEVICE=cuda
+CORS_ORIGINS=https://yourdomain.com
+```
+
+### Docker Environment
+```bash
+# .env
+PROJECT_ROOT=/app
+BACKEND_HOST=0.0.0.0
+BACKEND_PORT=8000
+DEVICE=cpu
+CORS_ORIGINS=http://localhost:3000
+```
+
+## Troubleshooting
+
+### Common Issues
+
+1. **Permission Errors**: Ensure the `PROJECT_ROOT` directory is writable
+2. **CORS Errors**: Check that your frontend URL is in `CORS_ORIGINS`
+3. **Model Loading Errors**: Verify `DEVICE` setting matches your hardware
+4. **Path Errors**: Ensure all path variables point to existing, accessible directories
+
+### Debugging
+
+Enable debug logging by setting:
+```bash
+export PYTHONPATH="${PYTHONPATH}:$(pwd)"
+export DEBUG=1
+```
+
+### Resetting Configuration
+
+To reset to defaults:
+```bash
+rm .env backend/.env frontend/.env
+python setup.py
+```
+
+## File Structure
+
+```
+chatterbox-ui/
+├── .env                          # Global configuration
+├── .env.example                  # Template for global config
+├── setup.py                      # Automated setup script
+├── backend/
+│   ├── .env                      # Backend configuration
+│   ├── .env.example              # Template for backend config
+│   ├── start_server.py           # Backend startup script
+│   └── app/
+│       └── config.py             # Configuration loader
+├── frontend/
+│   ├── .env                      # Frontend configuration
+│   ├── .env.example              # Template for frontend config
+│   ├── start_dev_server.py       # Frontend dev server
+│   └── js/
+│       └── config.js             # Frontend configuration loader
+└── speaker_data/
+    └── speaker_samples/          # Speaker audio files
+```
+
+## Security Notes
+
+- Never commit `.env` files to version control
+- Use strong, unique values for production
+- Restrict CORS origins in production
+- Use HTTPS in production environments
+- Regularly update dependencies

backend/.env.example

@@ -0,0 +1,19 @@
+# Backend Configuration
+# Copy this file to .env and adjust values as needed
+
+# Project paths
+PROJECT_ROOT=/Users/stwhite/CODE/chatterbox-ui
+SPEAKER_SAMPLES_DIR=${PROJECT_ROOT}/speaker_data/speaker_samples
+TTS_TEMP_OUTPUT_DIR=${PROJECT_ROOT}/tts_temp_outputs
+DIALOG_GENERATED_DIR=${PROJECT_ROOT}/backend/tts_generated_dialogs
+
+# Server configuration
+HOST=0.0.0.0
+PORT=8000
+RELOAD=true
+
+# CORS configuration
+CORS_ORIGINS=http://localhost:8001,http://127.0.0.1:8001,http://localhost:3000,http://127.0.0.1:3000
+
+# Device configuration (auto, cpu, cuda, mps)
+DEVICE=auto

backend/README.md

@@ -15,20 +15,45 @@ This directory contains the FastAPI backend for the Chatterbox TTS application.
 
 ## Setup & Running
 
-It is assumed you have a Python virtual environment at the project root (e.g., `.venv`).
+### Prerequisites
+- Python 3.8 or higher
+- A Python virtual environment (recommended)
 
-1.  Navigate to the **project root** directory (e.g., `/Volumes/SAM2/CODE/chatterbox-test`).
-2.  Activate the existing Python virtual environment:
-    ```bash
-    source .venv/bin/activate  # On macOS/Linux
-    # .\.venv\Scripts\activate  # On Windows
-    ```
-3.  Install dependencies (ensure your terminal is in the **project root**):
-    ```bash
-    pip install -r backend/requirements.txt
-    ```
-4.  Run the development server (ensure your terminal is in the **project root**):
-    ```bash
-    uvicorn backend.app.main:app --reload --host 0.0.0.0 --port 8000
-    ```
-The API should then be accessible at `http://127.0.0.1:8000`.
+### Installation
+
+1. **Navigate to the backend directory**:
+   ```bash
+   cd /path/to/chatterbox-ui/backend
+   ```
+
+2. **Set up a virtual environment** (if not already created):
+   ```bash
+   python -m venv .venv
+   source .venv/bin/activate  # On macOS/Linux
+   # .\.venv\Scripts\activate  # On Windows
+   ```
+
+3. **Install dependencies**:
+   ```bash
+   pip install -r requirements.txt
+   ```
+
+### Running the Development Server
+
+From the `backend` directory, run:
+
+```bash
+uvicorn app.main:app --reload --host 0.0.0.0 --port 8000
+```
+
+### Accessing the API
+
+Once running, you can access:
+- API documentation (Swagger UI): `http://127.0.0.1:8000/docs`
+- Alternative API docs (ReDoc): `http://127.0.0.1:8000/redoc`
+- API root: `http://127.0.0.1:8000/`
+
+### Development Notes
+- The `--reload` flag enables auto-reload on code changes
+- The server will be accessible on all network interfaces with `--host 0.0.0.0`
+- Default port is 8000, but you can change it with `--port <port_number>`

backend/app/config.py

@@ -1,21 +1,41 @@
+import os
 from pathlib import Path
+from dotenv import load_dotenv
 
-# Determine PROJECT_ROOT dynamically.
-# If config.py is at /Volumes/SAM2/CODE/chatterbox-test/backend/app/config.py
-# then PROJECT_ROOT (/Volumes/SAM2/CODE/chatterbox-test) is 2 levels up.
-PROJECT_ROOT = Path(__file__).resolve().parents[2]
+# Load environment variables from .env file
+load_dotenv()
 
-# Speaker data paths
-SPEAKER_DATA_BASE_DIR = PROJECT_ROOT / "speaker_data"
-SPEAKER_SAMPLES_DIR = SPEAKER_DATA_BASE_DIR / "speaker_samples"
-SPEAKERS_YAML_FILE = SPEAKER_DATA_BASE_DIR / "speakers.yaml"
+# Project root - can be overridden by environment variable
+PROJECT_ROOT = Path(os.getenv("PROJECT_ROOT", Path(__file__).parent.parent.parent)).resolve()
+
+# Directory paths
+SPEAKER_DATA_BASE_DIR = Path(os.getenv("SPEAKER_DATA_BASE_DIR", str(PROJECT_ROOT / "speaker_data")))
+SPEAKER_SAMPLES_DIR = Path(os.getenv("SPEAKER_SAMPLES_DIR", str(SPEAKER_DATA_BASE_DIR / "speaker_samples")))
+SPEAKERS_YAML_FILE = Path(os.getenv("SPEAKERS_YAML_FILE", str(SPEAKER_DATA_BASE_DIR / "speakers.yaml")))
 
 # TTS temporary output path (used by DialogProcessorService)
-TTS_TEMP_OUTPUT_DIR = PROJECT_ROOT / "tts_temp_outputs"
+TTS_TEMP_OUTPUT_DIR = Path(os.getenv("TTS_TEMP_OUTPUT_DIR", str(PROJECT_ROOT / "tts_temp_outputs")))
 
 # Final dialog output path (used by Dialog router and served by main app)
 # These are stored within the 'backend' directory to be easily servable.
 DIALOG_OUTPUT_PARENT_DIR = PROJECT_ROOT / "backend"
-DIALOG_GENERATED_DIR = DIALOG_OUTPUT_PARENT_DIR / "tts_generated_dialogs"
+DIALOG_GENERATED_DIR = Path(os.getenv("DIALOG_GENERATED_DIR", str(DIALOG_OUTPUT_PARENT_DIR / "tts_generated_dialogs")))
+
 # Alias for clarity and backward compatibility
 DIALOG_OUTPUT_DIR = DIALOG_GENERATED_DIR
+
+# Server configuration
+HOST = os.getenv("HOST", "0.0.0.0")
+PORT = int(os.getenv("PORT", "8000"))
+RELOAD = os.getenv("RELOAD", "true").lower() == "true"
+
+# CORS configuration
+CORS_ORIGINS = [origin.strip() for origin in os.getenv("CORS_ORIGINS", "http://localhost:8001,http://127.0.0.1:8001").split(",")]
+
+# Device configuration
+DEVICE = os.getenv("DEVICE", "auto")
+
+# Ensure directories exist
+SPEAKER_SAMPLES_DIR.mkdir(parents=True, exist_ok=True)
+TTS_TEMP_OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
+DIALOG_GENERATED_DIR.mkdir(parents=True, exist_ok=True)

backend/app/main.py

@@ -12,18 +12,15 @@ app = FastAPI(
 )
 
 # CORS Middleware configuration
-origins = [
-    "http://localhost:8001",
-    "http://127.0.0.1:8001",
-    # Add other origins if needed, e.g., your deployed frontend URL
-]
-
+# For development, we'll allow all origins
+# In production, you should restrict this to specific origins
 app.add_middleware(
     CORSMiddleware,
-    allow_origins=origins,
-    allow_credentials=True,
-    allow_methods=["*"],  # Allows all methods
-    allow_headers=["*"],  # Allows all headers
+    allow_origins=config.CORS_ORIGINS,
+    allow_credentials=False,
+    allow_methods=["*"],
+    allow_headers=["*"],
+    expose_headers=["*"]
 )
 
 # Include routers

backend/app/routers/dialog.py

@@ -78,22 +78,55 @@ async def generate_line(
                 temperature=speech.temperature
             )
             audio_url = f"/generated_audio/{out_path.name}"
+            return {"audio_url": audio_url}
         elif item.get("type") == "silence":
             silence = SilenceItem(**item)
             filename = f"silence_{uuid.uuid4().hex}.wav"
-            out_path = Path(config.DIALOG_GENERATED_DIR) / filename
-            # Generate silence tensor and save as WAV
-            silence_tensor = audio_manipulator._create_silence(silence.duration)
-            import torchaudio
-            torchaudio.save(str(out_path), silence_tensor, audio_manipulator.sample_rate)
-            audio_url = f"/generated_audio/{filename}"
+            out_dir = Path(config.DIALOG_GENERATED_DIR)
+            out_dir.mkdir(parents=True, exist_ok=True)  # Ensure output directory exists
+            out_path = out_dir / filename
+            
+            try:
+                # Generate silence
+                silence_tensor = audio_manipulator.generate_silence(silence.duration)
+                import torchaudio
+                torchaudio.save(str(out_path), silence_tensor, audio_manipulator.sample_rate)
+                
+                if not out_path.exists() or out_path.stat().st_size == 0:
+                    raise HTTPException(
+                        status_code=500,
+                        detail=f"Failed to generate silence. Output file not created: {out_path}"
+                    )
+                    
+                audio_url = f"/generated_audio/{filename}"
+                return {"audio_url": audio_url}
+                
+            except Exception as e:
+                if isinstance(e, HTTPException):
+                    raise e
+                raise HTTPException(
+                    status_code=500,
+                    detail=f"Error generating silence: {str(e)}"
+                )
         else:
-            raise HTTPException(status_code=400, detail="Unknown dialog item type.")
-        return {"audio_url": audio_url}
+            raise HTTPException(
+                status_code=400, 
+                detail=f"Unknown dialog item type: {item.get('type')}. Expected 'speech' or 'silence'."
+            )
+            
+    except HTTPException as he:
+        # Re-raise HTTP exceptions as-is
+        raise he
+        
     except Exception as e:
         import traceback
         tb = traceback.format_exc()
-        raise HTTPException(status_code=500, detail=f"Exception: {str(e)}\nTraceback:\n{tb}")
+        error_detail = f"Unexpected error: {str(e)}\n\nTraceback:\n{tb}"
+        print(error_detail)  # Log to console for debugging
+        raise HTTPException(
+            status_code=500, 
+            detail=error_detail
+        )
 
 async def manage_tts_model_lifecycle(tts_service: TTSService, task_function, *args, **kwargs):
     """Loads TTS model, executes task, then unloads model."""

backend/app/services/tts_service.py

@@ -4,9 +4,41 @@ from typing import Optional
 from chatterbox.tts import ChatterboxTTS
 from pathlib import Path
 import gc # Garbage collector for memory management
+import os
+from contextlib import contextmanager
 
-# Define a directory for TTS model outputs, could be temporary or configurable
-TTS_OUTPUT_DIR = Path("/Volumes/SAM2/CODE/chatterbox-test/tts_outputs") # Example path
+# Import configuration
+from app.config import TTS_TEMP_OUTPUT_DIR, SPEAKER_SAMPLES_DIR
+
+# Use configuration for TTS output directory
+TTS_OUTPUT_DIR = TTS_TEMP_OUTPUT_DIR
+
+def safe_load_chatterbox_tts(device):
+    """
+    Safely load ChatterboxTTS model with device mapping to handle CUDA->MPS/CPU conversion.
+    This patches torch.load temporarily to map CUDA tensors to the appropriate device.
+    """
+    @contextmanager
+    def patch_torch_load(target_device):
+        original_load = torch.load
+        
+        def patched_load(*args, **kwargs):
+            # Add map_location to handle device mapping
+            if 'map_location' not in kwargs:
+                if target_device == "mps" and torch.backends.mps.is_available():
+                    kwargs['map_location'] = torch.device('mps')
+                else:
+                    kwargs['map_location'] = torch.device('cpu')
+            return original_load(*args, **kwargs)
+        
+        torch.load = patched_load
+        try:
+            yield
+        finally:
+            torch.load = original_load
+    
+    with patch_torch_load(device):
+        return ChatterboxTTS.from_pretrained(device=device)
 
 class TTSService:
     def __init__(self, device: str = "mps"): # Default to MPS for Macs, can be "cpu" or "cuda"
@@ -23,7 +55,7 @@ class TTSService:
         if self.model is None:
             print(f"Loading ChatterboxTTS model to device: {self.device}...")
             try:
-                self.model = ChatterboxTTS.from_pretrained(device=self.device)
+                self.model = safe_load_chatterbox_tts(self.device)
                 print("ChatterboxTTS model loaded successfully.")
             except Exception as e:
                 print(f"Error loading ChatterboxTTS model: {e}")
@@ -105,7 +137,7 @@ if __name__ == "__main__":
         try:
             tts_service.load_model()
             
-            dummy_speaker_root = Path("/Volumes/SAM2/CODE/chatterbox-test/speaker_data/speaker_samples")
+            dummy_speaker_root = SPEAKER_SAMPLES_DIR
             dummy_speaker_root.mkdir(parents=True, exist_ok=True)
             dummy_sample_file = dummy_speaker_root / "dummy_speaker_test.wav"
             import os # Added for os.remove

backend/requirements.txt

@@ -5,3 +5,4 @@ PyYAML
 torch
 torchaudio
 chatterbox-tts
+python-dotenv

backend/start_server.py

@@ -0,0 +1,23 @@
+#!/usr/bin/env python3
+"""
+Backend server startup script that uses environment variables from config.
+"""
+
+import uvicorn
+from app import config
+
+if __name__ == "__main__":
+    print(f"Starting Chatterbox TTS Backend Server...")
+    print(f"Host: {config.HOST}")
+    print(f"Port: {config.PORT}")
+    print(f"Reload: {config.RELOAD}")
+    print(f"CORS Origins: {config.CORS_ORIGINS}")
+    print(f"Project Root: {config.PROJECT_ROOT}")
+    print(f"Device: {config.DEVICE}")
+    
+    uvicorn.run(
+        "app.main:app",
+        host=config.HOST,
+        port=config.PORT,
+        reload=config.RELOAD
+    )

frontend/.env.example

@@ -0,0 +1,10 @@
+# Frontend Configuration
+# Copy this file to .env and adjust values as needed
+
+# Backend API configuration
+VITE_API_BASE_URL=http://localhost:8000
+VITE_API_BASE_URL_WITH_PREFIX=http://localhost:8000/api
+
+# Development server configuration
+VITE_DEV_SERVER_PORT=8001
+VITE_DEV_SERVER_HOST=127.0.0.1

frontend/js/api.js

@@ -1,6 +1,8 @@
 // frontend/js/api.js
 
-const API_BASE_URL = 'http://localhost:8000/api'; // Assuming backend runs on port 8000
+import { API_BASE_URL_WITH_PREFIX } from './config.js';
+
+const API_BASE_URL = API_BASE_URL_WITH_PREFIX;
 
 /**
  * Fetches the list of available speakers.
@@ -107,18 +109,33 @@ export async function deleteSpeaker(speakerId) {
  * @throws {Error} If the network response is not ok.
  */
 export async function generateLine(line) {
-    const response = await fetch(`${API_BASE_URL}/dialog/generate_line/`, {
+    console.log('generateLine called with:', line);
+    const response = await fetch(`${API_BASE_URL}/dialog/generate_line`, {
         method: 'POST',
         headers: {
             'Content-Type': 'application/json',
         },
         body: JSON.stringify(line),
     });
+    console.log('Response status:', response.status);
+    console.log('Response headers:', [...response.headers.entries()]);
+    
     if (!response.ok) {
         const errorData = await response.json().catch(() => ({ message: response.statusText }));
         throw new Error(`Failed to generate line audio: ${errorData.detail || errorData.message || response.statusText}`);
     }
-    return response.json();
+    
+    const responseText = await response.text();
+    console.log('Raw response text:', responseText);
+    
+    try {
+        const jsonData = JSON.parse(responseText);
+        console.log('Parsed JSON:', jsonData);
+        return jsonData;
+    } catch (parseError) {
+        console.error('JSON parse error:', parseError);
+        throw new Error(`Invalid JSON response: ${responseText}`);
+    }
 }
 
 /**
@@ -137,7 +154,7 @@ export async function generateLine(line) {
  * @throws {Error} If the network response is not ok.
  */
 export async function generateDialog(dialogPayload) {
-    const response = await fetch(`${API_BASE_URL}/dialog/generate/`, {
+    const response = await fetch(`${API_BASE_URL}/dialog/generate`, {
         method: 'POST',
         headers: {
             'Content-Type': 'application/json',

frontend/js/app.js

@@ -1,11 +1,5 @@
 import { getSpeakers, addSpeaker, deleteSpeaker, generateDialog } from './api.js';
-
-const API_BASE_URL = 'http://localhost:8000'; // Assuming backend runs here
-
-// This should match the base URL from which FastAPI serves static files
-// If your main app is at http://localhost:8000, and static files are served from /generated_audio relative to that,
-// then this should be http://localhost:8000. The backend will return paths like /generated_audio/...
-const API_BASE_URL_FOR_FILES = 'http://localhost:8000'; 
+import { API_BASE_URL, API_BASE_URL_FOR_FILES } from './config.js';
 
 document.addEventListener('DOMContentLoaded', async () => {
     console.log('DOM fully loaded and parsed');
@@ -314,9 +308,18 @@ async function initializeDialogEditor() {
                     const payload = { ...item };
                     // Remove fields not needed by backend
                     delete payload.audioUrl; delete payload.isGenerating; delete payload.error;
+                    console.log('Sending payload:', payload);
                     const result = await generateLine(payload);
-                    dialogItems[index].audioUrl = result.audio_url;
+                    console.log('Received result:', result);
+                    if (result && result.audio_url) {
+                        dialogItems[index].audioUrl = result.audio_url;
+                        console.log('Set audioUrl to:', result.audio_url);
+                    } else {
+                        console.error('Invalid result structure:', result);
+                        throw new Error('Invalid response: missing audio_url');
+                    }
                 } catch (err) {
+                    console.error('Error in generateLine:', err);
                     dialogItems[index].error = err.message || 'Failed to generate audio.';
                     alert(dialogItems[index].error);
                 } finally {

frontend/js/config.js

@@ -0,0 +1,35 @@
+// Frontend Configuration
+// This file handles environment variable configuration for the frontend
+
+// Get environment variables (these would be injected by a build tool like Vite)
+// For now, we'll use defaults that can be overridden
+const getEnvVar = (name, defaultValue) => {
+    // In a real Vite setup, this would be import.meta.env[name]
+    // For now, we'll check if there's a global config object or use defaults
+    if (typeof window !== 'undefined' && window.APP_CONFIG && window.APP_CONFIG[name]) {
+        return window.APP_CONFIG[name];
+    }
+    return defaultValue;
+};
+
+// API Configuration
+export const API_BASE_URL = getEnvVar('VITE_API_BASE_URL', 'http://localhost:8000');
+export const API_BASE_URL_WITH_PREFIX = getEnvVar('VITE_API_BASE_URL_WITH_PREFIX', 'http://localhost:8000/api');
+
+// For file serving (same as API_BASE_URL since files are served from the same server)
+export const API_BASE_URL_FOR_FILES = API_BASE_URL;
+
+// Development server configuration
+export const DEV_SERVER_PORT = getEnvVar('VITE_DEV_SERVER_PORT', '8001');
+export const DEV_SERVER_HOST = getEnvVar('VITE_DEV_SERVER_HOST', '127.0.0.1');
+
+// Export all config as a single object for convenience
+export const CONFIG = {
+    API_BASE_URL,
+    API_BASE_URL_WITH_PREFIX,
+    API_BASE_URL_FOR_FILES,
+    DEV_SERVER_PORT,
+    DEV_SERVER_HOST
+};
+
+export default CONFIG;

frontend/start_dev_server.py

@@ -0,0 +1,46 @@
+#!/usr/bin/env python3
+"""
+Simple development server for the frontend that reads configuration from .env
+"""
+
+import os
+import http.server
+import socketserver
+from pathlib import Path
+
+# Try to load environment variables, but don't fail if dotenv is not available
+try:
+    from dotenv import load_dotenv
+    load_dotenv()
+except ImportError:
+    print("python-dotenv not installed, using system environment variables only")
+
+# Configuration
+PORT = int(os.getenv('VITE_DEV_SERVER_PORT', '8001'))
+HOST = os.getenv('VITE_DEV_SERVER_HOST', '127.0.0.1')
+
+# Change to frontend directory
+frontend_dir = Path(__file__).parent
+os.chdir(frontend_dir)
+
+class MyHTTPRequestHandler(http.server.SimpleHTTPRequestHandler):
+    def end_headers(self):
+        # Add CORS headers for development
+        self.send_header('Access-Control-Allow-Origin', '*')
+        self.send_header('Access-Control-Allow-Methods', 'GET, POST, OPTIONS')
+        self.send_header('Access-Control-Allow-Headers', '*')
+        super().end_headers()
+
+if __name__ == "__main__":
+    print(f"Starting Frontend Development Server...")
+    print(f"Host: {HOST}")
+    print(f"Port: {PORT}")
+    print(f"Serving from: {frontend_dir}")
+    print(f"Open: http://{HOST}:{PORT}")
+    
+    with socketserver.TCPServer((HOST, PORT), MyHTTPRequestHandler) as httpd:
+        print(f"Server running at http://{HOST}:{PORT}/")
+        try:
+            httpd.serve_forever()
+        except KeyboardInterrupt:
+            print("\nShutting down server...")

requirements.txt

@@ -0,0 +1,5 @@
+gradio>=3.50.0
+PyYAML>=6.0
+torch>=2.0.0
+torchaudio>=2.0.0
+numpy>=1.21.0

setup.py

@@ -0,0 +1,86 @@
+#!/usr/bin/env python3
+"""
+Setup script for Chatterbox TTS Application
+This script helps configure the application for different environments.
+"""
+
+import os
+import shutil
+from pathlib import Path
+
+def setup_environment():
+    """Setup environment configuration files"""
+    project_root = Path(__file__).parent
+    
+    print("🔧 Setting up Chatterbox TTS Application...")
+    
+    # Create .env file if it doesn't exist
+    env_file = project_root / ".env"
+    env_example = project_root / ".env.example"
+    
+    if not env_file.exists() and env_example.exists():
+        print("📝 Creating .env file from .env.example...")
+        shutil.copy(env_example, env_file)
+        
+        # Update PROJECT_ROOT in .env to current directory
+        with open(env_file, 'r') as f:
+            content = f.read()
+        
+        content = content.replace('/path/to/your/chatterbox-ui', str(project_root))
+        
+        with open(env_file, 'w') as f:
+            f.write(content)
+        
+        print(f"✅ Created .env file with PROJECT_ROOT set to: {project_root}")
+    else:
+        print("ℹ️  .env file already exists")
+    
+    # Setup backend .env
+    backend_env = project_root / "backend" / ".env"
+    backend_env_example = project_root / "backend" / ".env.example"
+    
+    if not backend_env.exists() and backend_env_example.exists():
+        print("📝 Creating backend/.env file...")
+        shutil.copy(backend_env_example, backend_env)
+        
+        # Update PROJECT_ROOT in backend .env
+        with open(backend_env, 'r') as f:
+            content = f.read()
+        
+        content = content.replace('/Users/stwhite/CODE/chatterbox-ui', str(project_root))
+        
+        with open(backend_env, 'w') as f:
+            f.write(content)
+        
+        print(f"✅ Created backend/.env file")
+    
+    # Setup frontend .env
+    frontend_env = project_root / "frontend" / ".env"
+    frontend_env_example = project_root / "frontend" / ".env.example"
+    
+    if not frontend_env.exists() and frontend_env_example.exists():
+        print("📝 Creating frontend/.env file...")
+        shutil.copy(frontend_env_example, frontend_env)
+        print(f"✅ Created frontend/.env file")
+    
+    # Create necessary directories
+    directories = [
+        project_root / "speaker_data" / "speaker_samples",
+        project_root / "tts_temp_outputs",
+        project_root / "backend" / "tts_generated_dialogs"
+    ]
+    
+    for directory in directories:
+        directory.mkdir(parents=True, exist_ok=True)
+        print(f"📁 Created directory: {directory}")
+    
+    print("\n🎉 Setup complete!")
+    print("\n📋 Next steps:")
+    print("1. Review and adjust the .env files as needed")
+    print("2. Install backend dependencies: cd backend && pip install -r requirements.txt")
+    print("3. Start backend server: cd backend && python start_server.py")
+    print("4. Start frontend server: cd frontend && python start_dev_server.py")
+    print("5. Open http://127.0.0.1:8001 in your browser")
+
+if __name__ == "__main__":
+    setup_environment()

speaker_data/speaker_data/speakers.yaml

@@ -0,0 +1,21 @@
+831c1dbe-c379-4d9f-868b-9798adc3c05d:
+  name: Adam
+  sample_path: speaker_samples/831c1dbe-c379-4d9f-868b-9798adc3c05d.wav
+608903c4-b157-46c5-a0ea-4b25eb4b83b6:
+  name: Denise
+  sample_path: speaker_samples/608903c4-b157-46c5-a0ea-4b25eb4b83b6.wav
+3c93c9df-86dc-4d67-ab55-8104b9301190:
+  name: Maria
+  sample_path: speaker_samples/3c93c9df-86dc-4d67-ab55-8104b9301190.wav
+fb84ce1c-f32d-4df9-9673-2c64e9603133:
+  name: Debbie
+  sample_path: speaker_samples/fb84ce1c-f32d-4df9-9673-2c64e9603133.wav
+90fcd672-ba84-441a-ac6c-0449a59653bd:
+  name: dummy_speaker
+  sample_path: speaker_samples/90fcd672-ba84-441a-ac6c-0449a59653bd.wav
+a6387c23-4ca4-42b5-8aaf-5699dbabbdf0:
+  name: Mike
+  sample_path: speaker_samples/a6387c23-4ca4-42b5-8aaf-5699dbabbdf0.wav
+6cf4d171-667d-4bc8-adbb-6d9b7c620cb8:
+  name: Minnie
+  sample_path: speaker_samples/6cf4d171-667d-4bc8-adbb-6d9b7c620cb8.wav

speaker_data/speakers.yaml

@@ -19,3 +19,12 @@ a6387c23-4ca4-42b5-8aaf-5699dbabbdf0:
 6cf4d171-667d-4bc8-adbb-6d9b7c620cb8:
   name: Minnie
   sample_path: speaker_samples/6cf4d171-667d-4bc8-adbb-6d9b7c620cb8.wav
+f1377dc6-aec5-42fc-bea7-98c0be49c48e:
+  name: Glinda
+  sample_path: speaker_samples/f1377dc6-aec5-42fc-bea7-98c0be49c48e.wav
+dd3552d9-f4e8-49ed-9892-f9e67afcf23c:
+  name: emily
+  sample_path: speaker_samples/dd3552d9-f4e8-49ed-9892-f9e67afcf23c.wav
+2cdd6d3d-c533-44bf-a5f6-cc83bd089d32:
+  name: Grace
+  sample_path: speaker_samples/2cdd6d3d-c533-44bf-a5f6-cc83bd089d32.wav

start_servers.py

@@ -0,0 +1,138 @@
+#!/Users/stwhite/CODE/chatterbox-ui/.venv/bin/python
+"""
+Startup script that launches both the backend and frontend servers concurrently.
+"""
+
+import os
+import sys
+import time
+import signal
+import subprocess
+import threading
+from pathlib import Path
+
+# Try to load environment variables, but don't fail if dotenv is not available
+try:
+    from dotenv import load_dotenv
+    load_dotenv()
+except ImportError:
+    print("python-dotenv not installed, using system environment variables only")
+
+# Configuration
+BACKEND_PORT = int(os.getenv('BACKEND_PORT', '8000'))
+BACKEND_HOST = os.getenv('BACKEND_HOST', '0.0.0.0')
+FRONTEND_PORT = int(os.getenv('FRONTEND_PORT', '8001'))
+FRONTEND_HOST = os.getenv('FRONTEND_HOST', '127.0.0.1')
+
+# Get project root directory
+PROJECT_ROOT = Path(__file__).parent.absolute()
+
+def run_backend():
+    """Run the backend FastAPI server"""
+    os.chdir(PROJECT_ROOT / "backend")
+    cmd = [
+        sys.executable, "-m", "uvicorn", 
+        "app.main:app", 
+        "--reload", 
+        f"--host={BACKEND_HOST}", 
+        f"--port={BACKEND_PORT}"
+    ]
+    
+    print(f"\n{'='*50}")
+    print(f"Starting Backend Server at http://{BACKEND_HOST}:{BACKEND_PORT}")
+    print(f"API docs available at http://{BACKEND_HOST}:{BACKEND_PORT}/docs")
+    print(f"{'='*50}\n")
+    
+    return subprocess.Popen(
+        cmd, 
+        stdout=subprocess.PIPE,
+        stderr=subprocess.STDOUT,
+        universal_newlines=True,
+        bufsize=1
+    )
+
+def run_frontend():
+    """Run the frontend development server"""
+    frontend_dir = PROJECT_ROOT / "frontend"
+    os.chdir(frontend_dir)
+    
+    cmd = [sys.executable, "start_dev_server.py"]
+    env = os.environ.copy()
+    env["VITE_DEV_SERVER_HOST"] = FRONTEND_HOST
+    env["VITE_DEV_SERVER_PORT"] = str(FRONTEND_PORT)
+    
+    print(f"\n{'='*50}")
+    print(f"Starting Frontend Server at http://{FRONTEND_HOST}:{FRONTEND_PORT}")
+    print(f"{'='*50}\n")
+    
+    return subprocess.Popen(
+        cmd,
+        env=env,
+        stdout=subprocess.PIPE,
+        stderr=subprocess.STDOUT,
+        universal_newlines=True,
+        bufsize=1
+    )
+
+def print_process_output(process, prefix):
+    """Print process output with a prefix"""
+    for line in iter(process.stdout.readline, ''):
+        if not line:
+            break
+        print(f"{prefix} | {line}", end='')
+
+def main():
+    """Main function to start both servers"""
+    print("\n🚀 Starting Chatterbox UI Development Environment")
+    
+    # Start the backend server
+    backend_process = run_backend()
+    
+    # Give the backend a moment to start
+    time.sleep(2)
+    
+    # Start the frontend server
+    frontend_process = run_frontend()
+    
+    # Create threads to monitor and print output
+    backend_monitor = threading.Thread(
+        target=print_process_output, 
+        args=(backend_process, "BACKEND"),
+        daemon=True
+    )
+    frontend_monitor = threading.Thread(
+        target=print_process_output, 
+        args=(frontend_process, "FRONTEND"),
+        daemon=True
+    )
+    
+    backend_monitor.start()
+    frontend_monitor.start()
+    
+    # Setup signal handling for graceful shutdown
+    def signal_handler(sig, frame):
+        print("\n\n🛑 Shutting down servers...")
+        backend_process.terminate()
+        frontend_process.terminate()
+        # Threads are daemon, so they'll exit when the main thread exits
+        print("✅ Servers stopped successfully")
+        sys.exit(0)
+    
+    signal.signal(signal.SIGINT, signal_handler)
+    
+    # Print access information
+    print("\n📋 Access Information:")
+    print(f"  • Frontend: http://{FRONTEND_HOST}:{FRONTEND_PORT}")
+    print(f"  • Backend API: http://{BACKEND_HOST}:{BACKEND_PORT}/api")
+    print(f"  • API Documentation: http://{BACKEND_HOST}:{BACKEND_PORT}/docs")
+    print("\n⚠️  Press Ctrl+C to stop both servers\n")
+    
+    # Keep the main process running
+    try:
+        while True:
+            time.sleep(1)
+    except KeyboardInterrupt:
+        signal_handler(None, None)
+
+if __name__ == "__main__":
+    main()

test.py

@@ -0,0 +1,51 @@
+import torch
+import torchaudio as ta
+from chatterbox.tts import ChatterboxTTS
+
+# Detect device (Mac with M1/M2/M3/M4)
+device = "mps" if torch.backends.mps.is_available() else "cpu"
+
+def safe_load_chatterbox_tts(device="mps"):
+    """
+    Safely load ChatterboxTTS model with proper device mapping.
+    Handles cases where model was saved on CUDA but needs to be loaded on MPS/CPU.
+    """
+    # Store original torch.load function
+    original_torch_load = torch.load
+    
+    def patched_torch_load(f, map_location=None, **kwargs):
+        # If no map_location is specified and we're loading on non-CUDA device,
+        # map CUDA tensors to the target device
+        if map_location is None:
+            if device == "mps" and torch.backends.mps.is_available():
+                map_location = torch.device("mps")
+            elif device == "cpu" or not torch.cuda.is_available():
+                map_location = torch.device("cpu")
+            else:
+                map_location = torch.device(device)
+        
+        return original_torch_load(f, map_location=map_location, **kwargs)
+    
+    # Temporarily patch torch.load
+    torch.load = patched_torch_load
+    
+    try:
+        # Load the model with the patched torch.load
+        model = ChatterboxTTS.from_pretrained(device=device)
+        return model
+    finally:
+        # Restore original torch.load
+        torch.load = original_torch_load
+
+model = safe_load_chatterbox_tts(device=device)
+text = "Today is the day. I want to move like a titan at dawn, sweat like a god forging lightning. No more excuses. From now on, my mornings will be temples of discipline. I am going to work out like the gods… every damn day."
+
+# If you want to synthesize with a different voice, specify the audio prompt
+AUDIO_PROMPT_PATH = "YOUR_FILE.wav"
+wav = model.generate(
+    text, 
+    audio_prompt_path=AUDIO_PROMPT_PATH,
+    exaggeration=2.0,
+    cfg_weight=0.5
+    )
+ta.save("test-2.wav", wav, model.sr)