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.gitignore

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+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# Virtual environments
+venv/
+ENV/
+env/
+.venv/
+
+# IDE
+.idea/
+.vscode/
+*.swp
+*.swo
+*~
+
+# OS
+.DS_Store
+Thumbs.db
+
+# Project specific
+*.wav
+*.mp3
+*.ogg
+output/
+cache/
+.cache/
+
+# Logs
+*.log
+logs/
+
+# Hugging Face
+.huggingface/

README.md

@@ -1,14 +1,373 @@
+# 🎙️ Kokoro TTS - Academic Text-to-Speech Application
+
+[![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces)
+[![License: Apache 2.0](https://img.shields.io/badge/License-Apache%202.0-green.svg)](https://opensource.org/licenses/Apache-2.0)
+[![Python 3.9+](https://img.shields.io/badge/python-3.9+-blue.svg)](https://www.python.org/downloads/)
+
+A comprehensive, open-source Text-to-Speech application built for academic learning and demonstration. Powered by the [Kokoro-82M](https://huggingface.co/hexgrad/Kokoro-82M) model — a lightweight yet high-quality TTS system with 82 million parameters.
+
+![Kokoro TTS Demo](https://img.shields.io/badge/demo-live-brightgreen)
+
+---
+
+## ✨ Features
+
+### 🎭 28 Built-in Voices
+- **20 American English voices** (11 female, 9 male)
+- **8 British English voices** (4 female, 4 male)
+- Quality grades from A (premium) to D (basic)
+- Each voice has unique characteristics and recommended use cases
+
+### 🎨 7 Style Presets
+| Style | Description | Best For |
+|-------|-------------|----------|
+| **Neutral Narrator** | Clear, balanced narration | General content, documentation |
+| **Dramatic / Horror** | Slower, deeper, suspenseful | Horror stories, dramatic readings |
+| **Excited / Surprised** | Faster, higher energy | Announcements, exciting content |
+| **Calm / Meditative** | Slow, soothing | Meditation guides, ASMR |
+| **Storyteller** | Engaging narrative pace | Audiobooks, bedtime stories |
+| **Professional** | Clear, authoritative | Business, corporate content |
+| **Cheerful / Friendly** | Warm, upbeat | Tutorials, friendly explanations |
+
+### ⚙️ Full Audio Control
+- **Speed**: 0.5x (slow) to 2.0x (fast)
+- **Pitch**: -5 to +5 semitones adjustment
+- **Pauses**: 0-1000ms between sentences
+- Real-time audio preview with download capability
+
+---
+
+## 🚀 Quick Start
+
+### Option 1: Hugging Face Spaces (Recommended)
+
+1. Go to [Hugging Face](https://huggingface.co/new-space)
+2. Create a new Space with **Gradio** SDK
+3. Upload all files from this repository
+4. The Space will automatically install dependencies and launch
+
+### Option 2: Local Installation
+
+```bash
+# Clone or download this repository
+git clone <your-repo-url>
+cd kokoro-tts-app
+
+# Create virtual environment (recommended)
+python -m venv venv
+source venv/bin/activate  # On Windows: venv\Scripts\activate
+
+# Install system dependencies (Linux/Ubuntu)
+sudo apt-get update
+sudo apt-get install -y espeak-ng ffmpeg libsndfile1
+
+# Install Python dependencies
+pip install -r requirements.txt
+
+# Run the application
+python app.py
+```
+
+The app will be available at `http://localhost:7860`
+
+### Option 3: Docker
+
+```dockerfile
+FROM python:3.10-slim
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    espeak-ng \
+    ffmpeg \
+    libsndfile1 \
+    && rm -rf /var/lib/apt/lists/*
+
+# Install Python dependencies
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy application
+COPY app.py .
+
+# Run
+CMD ["python", "app.py"]
+```
+
+---
+
+## 📖 Usage Guide
+
+### Basic Usage
+
+1. **Enter Text**: Type or paste your text (up to 5000 characters)
+2. **Select Voice**: Choose from 28 available voices
+3. **Pick a Style**: Select a style preset that matches your content
+4. **Generate**: Click the "Generate Speech" button
+5. **Download**: Use the download button on the audio player
+
+### Using Style Presets
+
+Style presets automatically configure speed, pitch, and pause settings:
+
+```
+✅ "Use Style Preset Defaults" checked → Style settings applied
+❌ "Use Style Preset Defaults" unchecked → Manual controls active
+```
+
+### Advanced Customization
+
+Uncheck "Use Style Preset Defaults" to manually control:
+
+- **Speed**: Lower values = slower, more deliberate speech
+- **Pitch**: Negative = deeper voice, Positive = higher voice  
+- **Pause**: Higher values = longer pauses between sentences
+
+### Sample Texts
+
+The app includes sample texts for different scenarios:
+- **Welcome**: General introduction text
+- **Horror**: Spooky story excerpt (pair with Dramatic style)
+- **News**: News broadcast style
+- **Story**: Fairy tale opening (pair with Storyteller style)
+- **Technical**: Technical documentation
+
+---
+
+## 🎭 Voice Reference
+
+### American English - Female (11 voices)
+
+| Voice ID | Name | Grade | Description |
+|----------|------|-------|-------------|
+| `af_heart` | Heart ❤️ | A | Premium quality, warm and natural |
+| `af_bella` | Bella 🔥 | A- | Clear and expressive |
+| `af_nicole` | Nicole 🎧 | B- | Professional narrator style |
+| `af_aoede` | Aoede | C+ | Melodic and pleasant |
+| `af_kore` | Kore | C+ | Youthful and energetic |
+| `af_sarah` | Sarah | C+ | Friendly and approachable |
+| `af_nova` | Nova | C | Modern and crisp |
+| `af_sky` | Sky | C- | Light and airy |
+| `af_alloy` | Alloy | C | Balanced and versatile |
+| `af_jessica` | Jessica | D | Casual conversational |
+| `af_river` | River | D | Gentle and flowing |
+
+### American English - Male (9 voices)
+
+| Voice ID | Name | Grade | Description |
+|----------|------|-------|-------------|
+| `am_michael` | Michael | C+ | Authoritative and clear |
+| `am_fenrir` | Fenrir | C+ | Deep and resonant |
+| `am_puck` | Puck | C+ | Playful and dynamic |
+| `am_echo` | Echo | D | Warm and reflective |
+| `am_eric` | Eric | D | Professional and steady |
+| `am_liam` | Liam | D | Young and natural |
+| `am_onyx` | Onyx | D | Rich and smooth |
+| `am_santa` | Santa 🎅 | D- | Jolly and festive |
+| `am_adam` | Adam | F+ | Basic male voice |
+
+### British English - Female (4 voices)
+
+| Voice ID | Name | Grade | Description |
+|----------|------|-------|-------------|
+| `bf_emma` | Emma | B- | Elegant British accent |
+| `bf_isabella` | Isabella | C | Sophisticated and refined |
+| `bf_alice` | Alice | D | Classic British tone |
+| `bf_lily` | Lily | D | Soft and gentle |
+
+### British English - Male (4 voices)
+
+| Voice ID | Name | Grade | Description |
+|----------|------|-------|-------------|
+| `bm_george` | George | C | Distinguished gentleman |
+| `bm_fable` | Fable | C | Storyteller quality |
+| `bm_lewis` | Lewis | D+ | Conversational British |
+| `bm_daniel` | Daniel | D | Standard British male |
+
 ---
-title: Text To Speech
-emoji: 🌍
-colorFrom: blue
-colorTo: pink
-sdk: gradio
-sdk_version: 6.5.1
-app_file: app.py
-pinned: false
-license: mit
-short_description: Turning written text into expressive speech
+
+## 🏗️ Architecture
+
+```
+┌─────────────────────────────────────────────────────────────┐
+│                    Gradio Web Interface                      │
+│  ┌──────────────┬───────────────┬─────────────────────────┐ │
+│  │  Text Input  │ Voice/Style   │   Advanced Controls     │ │
+│  │              │   Selection   │  (Speed/Pitch/Pause)    │ │
+│  └──────────────┴───────────────┴─────────────────────────┘ │
+└─────────────────────────────┬───────────────────────────────┘
+                              │
+                              ▼
+┌─────────────────────────────────────────────────────────────┐
+│                  Text Preprocessing                          │
+│  • Normalize abbreviations (Dr. → Doctor)                   │
+│  • Clean whitespace                                          │
+│  • Character limit enforcement                               │
+└─────────────────────────────┬───────────────────────────────┘
+                              │
+                              ▼
+┌─────────────────────────────────────────────────────────────┐
+│                 KokoroTTSEngine                              │
+│  • KPipeline (American 'a' / British 'b')                   │
+│  • Voice pack loading                                        │
+│  • Phoneme conversion via Misaki G2P                        │
+│  • Neural audio synthesis                                    │
+└─────────────────────────────┬───────────────────────────────┘
+                              │
+                              ▼
+┌─────────────────────────────────────────────────────────────┐
+│                Audio Post-Processing                         │
+│  • Pitch shifting (semitone adjustment)                     │
+│  • Pause insertion between segments                         │
+│  • Audio normalization (-3dB peak)                          │
+└─────────────────────────────┬───────────────────────────────┘
+                              │
+                              ▼
+┌─────────────────────────────────────────────────────────────┐
+│              Audio Output (24kHz WAV)                        │
+│  • Playback in browser                                       │
+│  • Download capability                                       │
+└─────────────────────────────────────────────────────────────┘
+```
+
+---
+
+## 📁 Project Structure
+
+```
+kokoro-tts-app/
+├── app.py              # Main Gradio application
+├── requirements.txt    # Python dependencies
+├── packages.txt        # System dependencies (for HF Spaces)
+└── README.md           # This documentation
+```
+
+### Code Organization (app.py)
+
+```python
+# Section 1: Configuration & Constants
+VOICE_CATALOG = {...}       # Voice definitions
+STYLE_PRESETS = {...}       # Style preset configurations
+
+# Section 2: Audio Processing Utilities
+pitch_shift_audio()         # Pitch manipulation
+insert_pauses()             # Silence injection
+normalize_audio()           # Volume normalization
+preprocess_text()           # Text cleaning
+
+# Section 3: TTS Engine
+class KokoroTTSEngine:      # Main TTS wrapper
+    generate()              # Basic generation
+    generate_with_style()   # Style-based generation
+
+# Section 4: Gradio Interface
+create_voice_choices()      # UI helper functions
+generate_speech()           # Main generation callback
+demo = gr.Blocks(...)       # Interface definition
+```
+
+---
+
+## 🔧 Technical Details
+
+### Model Specifications
+
+| Attribute | Value |
+|-----------|-------|
+| Model | Kokoro-82M |
+| Parameters | 82 million |
+| Model Size | ~330 MB |
+| Sample Rate | 24,000 Hz |
+| Audio Format | 32-bit float WAV |
+| Languages | English (US & UK), Japanese, Chinese, Spanish, French, Hindi, Italian, Portuguese |
+
+### Resource Requirements
+
+| Environment | CPU | RAM | Notes |
+|-------------|-----|-----|-------|
+| HF Spaces (Free) | 2 vCPU | 16 GB | Recommended |
+| Local (Minimum) | 2 cores | 4 GB | Functional |
+| Local (Recommended) | 4 cores | 8 GB | Faster inference |
+
+### Performance Benchmarks (CPU)
+
+| Text Length | Approx. Generation Time |
+|-------------|------------------------|
+| 100 chars | 2-4 seconds |
+| 500 chars | 8-15 seconds |
+| 1000 chars | 15-30 seconds |
+| 5000 chars | 60-120 seconds |
+
+---
+
+## 🎓 Academic Use Cases
+
+This project is designed for learning and demonstration:
+
+1. **Understanding TTS Pipelines**: Explore how text is converted to phonemes and then to audio
+2. **Audio Signal Processing**: Learn about pitch shifting, normalization, and pause insertion
+3. **ML Model Deployment**: Practice deploying models on Hugging Face Spaces
+4. **UI/UX Design**: Build intuitive interfaces with Gradio
+5. **Code Organization**: Study modular, well-documented Python code
+
+---
+
+## 📚 Learning Resources
+
+- [Kokoro Model Card](https://huggingface.co/hexgrad/Kokoro-82M) - Official model documentation
+- [Misaki G2P](https://github.com/hexgrad/misaki) - Grapheme-to-phoneme library
+- [Gradio Documentation](https://gradio.app/docs/) - UI framework
+- [Hugging Face Spaces](https://huggingface.co/docs/hub/spaces) - Deployment platform
+
+---
+
+## 🤝 Contributing
+
+This is an academic project, but contributions are welcome:
+
+1. Fork the repository
+2. Create a feature branch
+3. Make your changes
+4. Submit a pull request
+
+---
+
+## 📄 License
+
+This project is licensed under the **Apache License 2.0**, the same license as the Kokoro-82M model.
+
+```
+Copyright 2024 Academic Project
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+```
+
+---
+
+## 🙏 Acknowledgments
+
+- [hexgrad](https://huggingface.co/hexgrad) - Creator of Kokoro-82M
+- [Hugging Face](https://huggingface.co) - Model hosting and Spaces platform
+- [Gradio](https://gradio.app) - Web interface framework
+
+---
+
+## 📞 Support
+
+For questions or issues:
+1. Check the [Kokoro Discussions](https://huggingface.co/hexgrad/Kokoro-82M/discussions)
+2. Review the [Gradio Docs](https://gradio.app/docs/)
+3. Open an issue in this repository
+
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+*Built with ❤️ for academic learning and open-source AI*

README_HF.md

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+This file contains the Hugging Face Spaces configuration.
+When deploying to HF Spaces, rename this content to be at the TOP of your main README.md file.
+
+YAML Frontmatter to add to README.md:
+
+```yaml
+---
+title: Kokoro TTS - Academic Text-to-Speech
+emoji: 🎙️
+colorFrom: blue
+colorTo: purple
+sdk: gradio
+sdk_version: 4.44.0
+app_file: app.py
+pinned: false
+license: apache-2.0
+suggested_hardware: cpu-basic
+short_description: High-quality open-source TTS with 28 voices and style controls
+tags:
+  - text-to-speech
+  - tts
+  - kokoro
+  - audio
+  - speech-synthesis
+---
+```
+
+Reference: https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+"""
+Kokoro TTS - Academic Text-to-Speech Application
+================================================
+A comprehensive TTS application using Kokoro-82M model with full voice control.
+
+Features:
+- 28 built-in voices (American & British English, Male & Female)
+- Speed control (0.5x - 2.0x)
+- Pitch adjustment via audio post-processing
+- Configurable pause insertion
+- Style presets for different tones (Neutral, Dramatic, Whisper, etc.)
+
+Author: Academic Project
+License: Apache 2.0 (same as Kokoro model)
+"""
+
+import gradio as gr
+import numpy as np
+import soundfile as sf
+import io
+import re
+from typing import Optional, Tuple, Generator
+from dataclasses import dataclass
+from enum import Enum
+
+# Kokoro TTS imports
+from kokoro import KPipeline
+
+# ============================================================================
+# CONFIGURATION & CONSTANTS
+# ============================================================================
+
+SAMPLE_RATE = 24000  # Kokoro outputs 24kHz audio
+MAX_CHAR_LIMIT = 5000  # Maximum characters per generation
+
+# Voice definitions with metadata
+# Format: voice_id -> (display_name, gender, accent, quality_grade, description)
+VOICE_CATALOG = {
+    # American English - Female
+    "af_heart": ("Heart ❤️", "Female", "American", "A", "Premium quality, warm and natural"),
+    "af_bella": ("Bella 🔥", "Female", "American", "A-", "Clear and expressive"),
+    "af_nicole": ("Nicole 🎧", "Female", "American", "B-", "Professional narrator style"),
+    "af_aoede": ("Aoede", "Female", "American", "C+", "Melodic and pleasant"),
+    "af_kore": ("Kore", "Female", "American", "C+", "Youthful and energetic"),
+    "af_sarah": ("Sarah", "Female", "American", "C+", "Friendly and approachable"),
+    "af_nova": ("Nova", "Female", "American", "C", "Modern and crisp"),
+    "af_sky": ("Sky", "Female", "American", "C-", "Light and airy"),
+    "af_alloy": ("Alloy", "Female", "American", "C", "Balanced and versatile"),
+    "af_jessica": ("Jessica", "Female", "American", "D", "Casual conversational"),
+    "af_river": ("River", "Female", "American", "D", "Gentle and flowing"),
+    
+    # American English - Male
+    "am_michael": ("Michael", "Male", "American", "C+", "Authoritative and clear"),
+    "am_fenrir": ("Fenrir", "Male", "American", "C+", "Deep and resonant"),
+    "am_puck": ("Puck", "Male", "American", "C+", "Playful and dynamic"),
+    "am_echo": ("Echo", "Male", "American", "D", "Warm and reflective"),
+    "am_eric": ("Eric", "Male", "American", "D", "Professional and steady"),
+    "am_liam": ("Liam", "Male", "American", "D", "Young and natural"),
+    "am_onyx": ("Onyx", "Male", "American", "D", "Rich and smooth"),
+    "am_santa": ("Santa 🎅", "Male", "American", "D-", "Jolly and festive"),
+    "am_adam": ("Adam", "Male", "American", "F+", "Basic male voice"),
+    
+    # British English - Female
+    "bf_emma": ("Emma", "Female", "British", "B-", "Elegant British accent"),
+    "bf_isabella": ("Isabella", "Female", "British", "C", "Sophisticated and refined"),
+    "bf_alice": ("Alice", "Female", "British", "D", "Classic British tone"),
+    "bf_lily": ("Lily", "Female", "British", "D", "Soft and gentle"),
+    
+    # British English - Male
+    "bm_george": ("George", "Male", "British", "C", "Distinguished gentleman"),
+    "bm_fable": ("Fable", "Male", "British", "C", "Storyteller quality"),
+    "bm_lewis": ("Lewis", "Male", "British", "D+", "Conversational British"),
+    "bm_daniel": ("Daniel", "Male", "British", "D", "Standard British male"),
+}
+
+
+@dataclass
+class StylePreset:
+    """Defines a style preset with associated audio parameters."""
+    name: str
+    description: str
+    speed: float
+    pitch_shift: float  # semitones
+    pause_multiplier: float
+    recommended_voices: list
+
+
+# Style presets for different tones
+STYLE_PRESETS = {
+    "neutral": StylePreset(
+        name="Neutral Narrator",
+        description="Clear, balanced narration suitable for most content",
+        speed=1.0,
+        pitch_shift=0,
+        pause_multiplier=1.0,
+        recommended_voices=["af_heart", "af_bella", "am_michael", "bf_emma"]
+    ),
+    "dramatic": StylePreset(
+        name="Dramatic / Horror",
+        description="Slower, deeper voice for suspenseful or dramatic content",
+        speed=0.85,
+        pitch_shift=-2,
+        pause_multiplier=1.5,
+        recommended_voices=["am_fenrir", "am_onyx", "bm_george", "af_nicole"]
+    ),
+    "excited": StylePreset(
+        name="Excited / Surprised",
+        description="Faster, higher energy delivery",
+        speed=1.2,
+        pitch_shift=1,
+        pause_multiplier=0.7,
+        recommended_voices=["af_kore", "am_puck", "af_nova", "af_sky"]
+    ),
+    "calm": StylePreset(
+        name="Calm / Meditative",
+        description="Slow, soothing voice for relaxation content",
+        speed=0.8,
+        pitch_shift=-1,
+        pause_multiplier=1.8,
+        recommended_voices=["af_heart", "bf_lily", "am_echo", "bf_emma"]
+    ),
+    "storyteller": StylePreset(
+        name="Storyteller",
+        description="Engaging pace for audiobooks and stories",
+        speed=0.95,
+        pitch_shift=0,
+        pause_multiplier=1.2,
+        recommended_voices=["bm_fable", "af_bella", "am_michael", "bf_isabella"]
+    ),
+    "professional": StylePreset(
+        name="Professional / Corporate",
+        description="Clear, authoritative delivery for business content",
+        speed=1.05,
+        pitch_shift=0,
+        pause_multiplier=1.0,
+        recommended_voices=["af_nicole", "am_eric", "bf_emma", "bm_george"]
+    ),
+    "cheerful": StylePreset(
+        name="Cheerful / Friendly",
+        description="Warm, upbeat tone for friendly content",
+        speed=1.1,
+        pitch_shift=0.5,
+        pause_multiplier=0.9,
+        recommended_voices=["af_sarah", "am_puck", "af_kore", "am_liam"]
+    ),
+}
+
+
+# ============================================================================
+# AUDIO PROCESSING UTILITIES
+# ============================================================================
+
+def pitch_shift_audio(audio: np.ndarray, sample_rate: int, semitones: float) -> np.ndarray:
+    """
+    Shift the pitch of audio by a given number of semitones.
+    Uses simple resampling-based pitch shifting (no external dependencies).
+    
+    Args:
+        audio: Input audio array
+        sample_rate: Sample rate of the audio
+        semitones: Number of semitones to shift (positive = higher, negative = lower)
+    
+    Returns:
+        Pitch-shifted audio array
+    """
+    if semitones == 0:
+        return audio
+    
+    # Calculate the pitch shift factor
+    # Each semitone is a factor of 2^(1/12)
+    factor = 2 ** (semitones / 12)
+    
+    # Resample to shift pitch
+    # To raise pitch: stretch time, then resample to original length
+    # To lower pitch: compress time, then resample to original length
+    
+    original_length = len(audio)
+    
+    # Create new sample indices
+    new_length = int(original_length / factor)
+    indices = np.linspace(0, original_length - 1, new_length)
+    
+    # Linear interpolation for resampling
+    shifted = np.interp(indices, np.arange(original_length), audio)
+    
+    # Resample back to original length to maintain duration
+    final_indices = np.linspace(0, len(shifted) - 1, original_length)
+    result = np.interp(final_indices, np.arange(len(shifted)), shifted)
+    
+    return result.astype(np.float32)
+
+
+def insert_pauses(audio_segments: list, pause_duration_ms: int, sample_rate: int) -> np.ndarray:
+    """
+    Insert silence between audio segments.
+    
+    Args:
+        audio_segments: List of audio arrays
+        pause_duration_ms: Pause duration in milliseconds
+        sample_rate: Sample rate of the audio
+    
+    Returns:
+        Combined audio with pauses inserted
+    """
+    if not audio_segments:
+        return np.array([], dtype=np.float32)
+    
+    # Create silence array
+    pause_samples = int(sample_rate * pause_duration_ms / 1000)
+    silence = np.zeros(pause_samples, dtype=np.float32)
+    
+    # Combine segments with pauses
+    combined = []
+    for i, segment in enumerate(audio_segments):
+        combined.append(segment)
+        if i < len(audio_segments) - 1:  # Don't add pause after last segment
+            combined.append(silence)
+    
+    return np.concatenate(combined)
+
+
+def normalize_audio(audio: np.ndarray, target_db: float = -3.0) -> np.ndarray:
+    """
+    Normalize audio to a target dB level.
+    
+    Args:
+        audio: Input audio array
+        target_db: Target peak level in dB (default -3 dB)
+    
+    Returns:
+        Normalized audio array
+    """
+    if len(audio) == 0:
+        return audio
+    
+    # Find the peak amplitude
+    peak = np.max(np.abs(audio))
+    if peak == 0:
+        return audio
+    
+    # Calculate the gain needed
+    target_amplitude = 10 ** (target_db / 20)
+    gain = target_amplitude / peak
+    
+    return (audio * gain).astype(np.float32)
+
+
+def preprocess_text(text: str, add_pauses: bool = True) -> str:
+    """
+    Preprocess text to improve TTS output quality.
+    
+    Args:
+        text: Input text
+        add_pauses: Whether to add pause hints at sentence boundaries
+    
+    Returns:
+        Preprocessed text
+    """
+    # Clean up whitespace
+    text = re.sub(r'\s+', ' ', text.strip())
+    
+    # Normalize common abbreviations
+    abbreviations = {
+        r'\bDr\.': 'Doctor',
+        r'\bMr\.': 'Mister',
+        r'\bMrs\.': 'Missus',
+        r'\bMs\.': 'Miss',
+        r'\bProf\.': 'Professor',
+        r'\betc\.': 'etcetera',
+        r'\be\.g\.': 'for example',
+        r'\bi\.e\.': 'that is',
+    }
+    
+    for pattern, replacement in abbreviations.items():
+        text = re.sub(pattern, replacement, text, flags=re.IGNORECASE)
+    
+    return text
+
+
+# ============================================================================
+# TTS ENGINE
+# ============================================================================
+
+class KokoroTTSEngine:
+    """
+    Wrapper class for Kokoro TTS with additional processing capabilities.
+    """
+    
+    def __init__(self):
+        """Initialize the TTS engine with both American and British English pipelines."""
+        print("Initializing Kokoro TTS Engine...")
+        
+        # Initialize pipelines for both accents
+        self.pipelines = {
+            'a': KPipeline(lang_code='a'),  # American English
+            'b': KPipeline(lang_code='b'),  # British English
+        }
+        
+        # Add custom pronunciation for "Kokoro"
+        self.pipelines['a'].g2p.lexicon.golds['kokoro'] = 'kˈOkəɹO'
+        self.pipelines['b'].g2p.lexicon.golds['kokoro'] = 'kˈQkəɹQ'
+        
+        # Pre-load voice packs for faster inference
+        print("Pre-loading voice packs...")
+        for voice_id in VOICE_CATALOG.keys():
+            lang_code = voice_id[0]  # 'a' or 'b'
+            try:
+                self.pipelines[lang_code].load_voice(voice_id)
+            except Exception as e:
+                print(f"Warning: Could not pre-load voice {voice_id}: {e}")
+        
+        print("TTS Engine initialized successfully!")
+    
+    def generate(
+        self,
+        text: str,
+        voice: str = "af_heart",
+        speed: float = 1.0,
+        pitch_shift: float = 0.0,
+        pause_between_sentences_ms: int = 300,
+    ) -> Tuple[int, np.ndarray]:
+        """
+        Generate speech from text with full parameter control.
+        
+        Args:
+            text: Input text to synthesize
+            voice: Voice ID from VOICE_CATALOG
+            speed: Speed multiplier (0.5 to 2.0)
+            pitch_shift: Pitch adjustment in semitones (-5 to +5)
+            pause_between_sentences_ms: Pause duration between sentences
+        
+        Returns:
+            Tuple of (sample_rate, audio_array)
+        """
+        # Validate inputs
+        text = preprocess_text(text.strip()[:MAX_CHAR_LIMIT])
+        if not text:
+            return SAMPLE_RATE, np.zeros(1, dtype=np.float32)
+        
+        speed = max(0.5, min(2.0, speed))
+        pitch_shift = max(-5, min(5, pitch_shift))
+        
+        # Get the appropriate pipeline
+        lang_code = voice[0] if voice[0] in self.pipelines else 'a'
+        pipeline = self.pipelines[lang_code]
+        
+        # Generate audio segments
+        audio_segments = []
+        
+        try:
+            for _, phonemes, audio in pipeline(text, voice=voice, speed=speed):
+                if audio is not None:
+                    audio_segments.append(audio.numpy() if hasattr(audio, 'numpy') else audio)
+        except Exception as e:
+            print(f"Generation error: {e}")
+            return SAMPLE_RATE, np.zeros(1, dtype=np.float32)
+        
+        if not audio_segments:
+            return SAMPLE_RATE, np.zeros(1, dtype=np.float32)
+        
+        # Combine segments with pauses
+        combined_audio = insert_pauses(audio_segments, pause_between_sentences_ms, SAMPLE_RATE)
+        
+        # Apply pitch shift if requested
+        if pitch_shift != 0:
+            combined_audio = pitch_shift_audio(combined_audio, SAMPLE_RATE, pitch_shift)
+        
+        # Normalize the final audio
+        combined_audio = normalize_audio(combined_audio)
+        
+        return SAMPLE_RATE, combined_audio
+    
+    def generate_with_style(
+        self,
+        text: str,
+        voice: str,
+        style_preset: str,
+        custom_speed: Optional[float] = None,
+        custom_pitch: Optional[float] = None,
+        custom_pause: Optional[int] = None,
+    ) -> Tuple[int, np.ndarray]:
+        """
+        Generate speech using a style preset with optional custom overrides.
+        
+        Args:
+            text: Input text to synthesize
+            voice: Voice ID
+            style_preset: Style preset name from STYLE_PRESETS
+            custom_speed: Override the preset speed (optional)
+            custom_pitch: Override the preset pitch (optional)
+            custom_pause: Override the preset pause (optional)
+        
+        Returns:
+            Tuple of (sample_rate, audio_array)
+        """
+        preset = STYLE_PRESETS.get(style_preset, STYLE_PRESETS["neutral"])
+        
+        speed = custom_speed if custom_speed is not None else preset.speed
+        pitch = custom_pitch if custom_pitch is not None else preset.pitch_shift
+        pause = custom_pause if custom_pause is not None else int(300 * preset.pause_multiplier)
+        
+        return self.generate(
+            text=text,
+            voice=voice,
+            speed=speed,
+            pitch_shift=pitch,
+            pause_between_sentences_ms=pause,
+        )
+
+
+# ============================================================================
+# GRADIO INTERFACE
+# ============================================================================
+
+def create_voice_choices():
+    """Create organized voice choices for the dropdown."""
+    choices = []
+    
+    # Group by accent and gender
+    groups = {
+        ("American", "Female"): [],
+        ("American", "Male"): [],
+        ("British", "Female"): [],
+        ("British", "Male"): [],
+    }
+    
+    for voice_id, (name, gender, accent, grade, desc) in VOICE_CATALOG.items():
+        groups[(accent, gender)].append((voice_id, name, grade))
+    
+    # Build choices with group labels
+    for (accent, gender), voices in groups.items():
+        flag = "🇺🇸" if accent == "American" else "🇬🇧"
+        gender_icon = "🚺" if gender == "Female" else "🚹"
+        
+        for voice_id, name, grade in sorted(voices, key=lambda x: x[2]):  # Sort by grade
+            label = f"{flag} {gender_icon} {name} [{grade}]"
+            choices.append((label, voice_id))
+    
+    return choices
+
+
+def create_style_choices():
+    """Create style preset choices for the dropdown."""
+    return [(preset.name, key) for key, preset in STYLE_PRESETS.items()]
+
+
+# Initialize the TTS engine globally
+print("Loading Kokoro TTS Engine...")
+tts_engine = KokoroTTSEngine()
+
+
+def generate_speech(
+    text: str,
+    voice: str,
+    style: str,
+    speed: float,
+    pitch: float,
+    pause: int,
+    use_style_defaults: bool,
+) -> Tuple[int, np.ndarray]:
+    """
+    Main generation function for Gradio interface.
+    """
+    if not text.strip():
+        gr.Warning("Please enter some text to synthesize.")
+        return None
+    
+    try:
+        if use_style_defaults:
+            sample_rate, audio = tts_engine.generate_with_style(
+                text=text,
+                voice=voice,
+                style_preset=style,
+            )
+        else:
+            sample_rate, audio = tts_engine.generate(
+                text=text,
+                voice=voice,
+                speed=speed,
+                pitch_shift=pitch,
+                pause_between_sentences_ms=pause,
+            )
+        
+        return (sample_rate, audio)
+    
+    except Exception as e:
+        gr.Error(f"Generation failed: {str(e)}")
+        return None
+
+
+def update_style_info(style: str) -> str:
+    """Update the style information display."""
+    preset = STYLE_PRESETS.get(style, STYLE_PRESETS["neutral"])
+    
+    recommended = ", ".join([
+        VOICE_CATALOG[v][0] for v in preset.recommended_voices if v in VOICE_CATALOG
+    ])
+    
+    return f"""**{preset.name}**
+
+{preset.description}
+
+- **Speed:** {preset.speed}x
+- **Pitch Shift:** {preset.pitch_shift:+.1f} semitones
+- **Pause Multiplier:** {preset.pause_multiplier}x
+
+**Recommended Voices:** {recommended}
+"""
+
+
+def update_controls_from_style(style: str, use_defaults: bool):
+    """Update the control sliders based on selected style."""
+    if not use_defaults:
+        return gr.update(), gr.update(), gr.update()
+    
+    preset = STYLE_PRESETS.get(style, STYLE_PRESETS["neutral"])
+    return (
+        gr.update(value=preset.speed),
+        gr.update(value=preset.pitch_shift),
+        gr.update(value=int(300 * preset.pause_multiplier)),
+    )
+
+
+# Sample texts for demonstration
+SAMPLE_TEXTS = {
+    "welcome": """Welcome to Kokoro Text-to-Speech! This is an open-source model with 82 million parameters, 
+capable of producing natural-sounding speech. Try different voices and styles to find your perfect combination.""",
+    
+    "horror": """The old house creaked as I pushed open the door. Something moved in the shadows. 
+A whisper echoed through the empty halls... "You shouldn't have come here." 
+I turned to run, but the door had vanished.""",
+    
+    "news": """Breaking news tonight: Scientists have made a groundbreaking discovery that could change 
+our understanding of the universe. The research team announced their findings at a press conference 
+held earlier today at the National Science Foundation.""",
+    
+    "story": """Once upon a time, in a kingdom far away, there lived a young princess who dreamed of adventure. 
+One day, she discovered a magical map hidden in the castle library. 
+Little did she know, this map would lead her to the greatest journey of her life.""",
+    
+    "technical": """The system architecture consists of three main components: the frontend user interface, 
+the backend API server, and the database layer. Each component is designed for scalability and 
+can be deployed independently using container orchestration.""",
+}
+
+
+def load_sample_text(sample_key: str) -> str:
+    """Load a sample text."""
+    return SAMPLE_TEXTS.get(sample_key, "")
+
+
+# Build the Gradio interface
+with gr.Blocks(
+    title="Kokoro TTS - Academic Text-to-Speech",
+    theme=gr.themes.Soft(),
+    css="""
+        .main-title {
+            text-align: center;
+            margin-bottom: 1rem;
+        }
+        .info-box {
+            background-color: #f0f7ff;
+            border-radius: 8px;
+            padding: 1rem;
+            margin: 0.5rem 0;
+        }
+    """
+) as demo:
+    
+    # Header
+    gr.Markdown(
+        """
+        # 🎙️ Kokoro TTS - Academic Text-to-Speech
+        
+        **An open-source, high-quality TTS system powered by [Kokoro-82M](https://huggingface.co/hexgrad/Kokoro-82M)**
+        
+        Features: 28 voices • Style presets • Speed/Pitch/Pause control • CPU-friendly
+        """,
+        elem_classes=["main-title"]
+    )
+    
+    with gr.Row():
+        # Left column - Input controls
+        with gr.Column(scale=1):
+            # Text input
+            text_input = gr.Textbox(
+                label="📝 Text to Synthesize",
+                placeholder="Enter your text here...",
+                lines=6,
+                max_lines=15,
+                info=f"Maximum {MAX_CHAR_LIMIT} characters"
+            )
+            
+            # Sample text buttons
+            with gr.Accordion("📚 Sample Texts", open=False):
+                with gr.Row():
+                    gr.Button("Welcome", size="sm").click(
+                        lambda: SAMPLE_TEXTS["welcome"], outputs=text_input
+                    )
+                    gr.Button("Horror 👻", size="sm").click(
+                        lambda: SAMPLE_TEXTS["horror"], outputs=text_input
+                    )
+                    gr.Button("News 📰", size="sm").click(
+                        lambda: SAMPLE_TEXTS["news"], outputs=text_input
+                    )
+                with gr.Row():
+                    gr.Button("Story 📖", size="sm").click(
+                        lambda: SAMPLE_TEXTS["story"], outputs=text_input
+                    )
+                    gr.Button("Technical 💻", size="sm").click(
+                        lambda: SAMPLE_TEXTS["technical"], outputs=text_input
+                    )
+            
+            # Voice selection
+            voice_dropdown = gr.Dropdown(
+                choices=create_voice_choices(),
+                value="af_heart",
+                label="🎭 Voice",
+                info="Select a voice (sorted by quality grade)"
+            )
+            
+            # Style preset
+            style_dropdown = gr.Dropdown(
+                choices=create_style_choices(),
+                value="neutral",
+                label="🎨 Style Preset",
+                info="Choose a style for different content types"
+            )
+            
+            # Style info display
+            style_info = gr.Markdown(
+                value=update_style_info("neutral"),
+                elem_classes=["info-box"]
+            )
+            
+            # Use style defaults checkbox
+            use_style_defaults = gr.Checkbox(
+                label="Use Style Preset Defaults",
+                value=True,
+                info="When checked, style preset values override manual controls"
+            )
+        
+        # Right column - Advanced controls and output
+        with gr.Column(scale=1):
+            # Advanced controls
+            with gr.Accordion("⚙️ Advanced Controls", open=True):
+                speed_slider = gr.Slider(
+                    minimum=0.5,
+                    maximum=2.0,
+                    value=1.0,
+                    step=0.05,
+                    label="🏃 Speed",
+                    info="Speaking rate (0.5x = slow, 2.0x = fast)"
+                )
+                
+                pitch_slider = gr.Slider(
+                    minimum=-5.0,
+                    maximum=5.0,
+                    value=0.0,
+                    step=0.5,
+                    label="🎵 Pitch Shift (semitones)",
+                    info="Adjust voice pitch (-5 = deeper, +5 = higher)"
+                )
+                
+                pause_slider = gr.Slider(
+                    minimum=0,
+                    maximum=1000,
+                    value=300,
+                    step=50,
+                    label="⏸️ Pause Between Sentences (ms)",
+                    info="Silence duration between sentences"
+                )
+            
+            # Generate button
+            generate_btn = gr.Button(
+                "🎙️ Generate Speech",
+                variant="primary",
+                size="lg"
+            )
+            
+            # Audio output
+            audio_output = gr.Audio(
+                label="🔊 Generated Audio",
+                type="numpy",
+                interactive=False,
+                autoplay=True
+            )
+            
+            # Download info
+            gr.Markdown(
+                """
+                💡 **Tips:**
+                - Click the download button (⬇️) on the audio player to save
+                - Try different voices with the same text to compare
+                - Use style presets as starting points, then customize
+                """
+            )
+    
+    # Footer
+    gr.Markdown(
+        """
+        ---
+        **About:** This is an academic demonstration of the Kokoro-82M TTS model. 
+        The model is licensed under Apache 2.0 and can be used for both personal and commercial projects.
+        
+        **Resources:** [Model Card](https://huggingface.co/hexgrad/Kokoro-82M) | 
+        [Voice List](https://huggingface.co/hexgrad/Kokoro-82M/blob/main/VOICES.md) | 
+        [GitHub](https://github.com/hexgrad/kokoro)
+        """
+    )
+    
+    # Event handlers
+    style_dropdown.change(
+        fn=update_style_info,
+        inputs=[style_dropdown],
+        outputs=[style_info]
+    )
+    
+    style_dropdown.change(
+        fn=update_controls_from_style,
+        inputs=[style_dropdown, use_style_defaults],
+        outputs=[speed_slider, pitch_slider, pause_slider]
+    )
+    
+    use_style_defaults.change(
+        fn=update_controls_from_style,
+        inputs=[style_dropdown, use_style_defaults],
+        outputs=[speed_slider, pitch_slider, pause_slider]
+    )
+    
+    generate_btn.click(
+        fn=generate_speech,
+        inputs=[
+            text_input,
+            voice_dropdown,
+            style_dropdown,
+            speed_slider,
+            pitch_slider,
+            pause_slider,
+            use_style_defaults,
+        ],
+        outputs=[audio_output]
+    )
+
+
+# Launch configuration
+if __name__ == "__main__":
+    demo.queue().launch(
+        server_name="0.0.0.0",
+        server_port=7860,
+        share=False,
+        show_api=True
+    )

examples.py

@@ -0,0 +1,215 @@
+"""
+Kokoro TTS - Example Usage Script
+=================================
+This script demonstrates how to use the Kokoro TTS engine programmatically.
+Useful for understanding the code flow and for batch processing.
+
+Run this script after installing dependencies:
+    pip install kokoro soundfile numpy
+    apt-get install espeak-ng  # Linux
+"""
+
+import numpy as np
+import soundfile as sf
+from kokoro import KPipeline
+
+# ============================================================================
+# EXAMPLE 1: Basic Text-to-Speech
+# ============================================================================
+
+def example_basic_tts():
+    """Generate speech with default settings."""
+    print("\n" + "="*50)
+    print("Example 1: Basic TTS")
+    print("="*50)
+    
+    # Initialize pipeline for American English
+    pipeline = KPipeline(lang_code='a')
+    
+    # Text to synthesize
+    text = "Hello! This is a demonstration of the Kokoro text to speech model."
+    
+    # Generate audio
+    for i, (graphemes, phonemes, audio) in enumerate(pipeline(text, voice='af_heart')):
+        print(f"Segment {i}:")
+        print(f"  Text: {graphemes}")
+        print(f"  Phonemes: {phonemes}")
+        
+        # Save audio
+        audio_np = audio.numpy() if hasattr(audio, 'numpy') else audio
+        sf.write(f'example1_segment{i}.wav', audio_np, 24000)
+        print(f"  Saved: example1_segment{i}.wav")
+
+
+# ============================================================================
+# EXAMPLE 2: Speed Control
+# ============================================================================
+
+def example_speed_control():
+    """Generate speech at different speeds."""
+    print("\n" + "="*50)
+    print("Example 2: Speed Control")
+    print("="*50)
+    
+    pipeline = KPipeline(lang_code='a')
+    text = "The quick brown fox jumps over the lazy dog."
+    
+    speeds = [0.7, 1.0, 1.3]
+    
+    for speed in speeds:
+        print(f"\nGenerating at speed {speed}x...")
+        
+        for _, _, audio in pipeline(text, voice='af_bella', speed=speed):
+            audio_np = audio.numpy() if hasattr(audio, 'numpy') else audio
+            filename = f'example2_speed_{speed}.wav'
+            sf.write(filename, audio_np, 24000)
+            print(f"  Saved: {filename}")
+
+
+# ============================================================================
+# EXAMPLE 3: Different Voices
+# ============================================================================
+
+def example_different_voices():
+    """Compare different voices with the same text."""
+    print("\n" + "="*50)
+    print("Example 3: Different Voices")
+    print("="*50)
+    
+    # American and British pipelines
+    pipelines = {
+        'a': KPipeline(lang_code='a'),
+        'b': KPipeline(lang_code='b'),
+    }
+    
+    text = "Good morning! How are you doing today?"
+    
+    voices = [
+        ('af_heart', 'American Female - Heart'),
+        ('am_michael', 'American Male - Michael'),
+        ('bf_emma', 'British Female - Emma'),
+        ('bm_george', 'British Male - George'),
+    ]
+    
+    for voice_id, voice_name in voices:
+        print(f"\nGenerating with {voice_name}...")
+        
+        lang_code = voice_id[0]  # 'a' or 'b'
+        pipeline = pipelines[lang_code]
+        
+        for _, _, audio in pipeline(text, voice=voice_id):
+            audio_np = audio.numpy() if hasattr(audio, 'numpy') else audio
+            filename = f'example3_{voice_id}.wav'
+            sf.write(filename, audio_np, 24000)
+            print(f"  Saved: {filename}")
+
+
+# ============================================================================
+# EXAMPLE 4: Combining Audio Segments with Pauses
+# ============================================================================
+
+def example_pause_insertion():
+    """Demonstrate inserting pauses between sentences."""
+    print("\n" + "="*50)
+    print("Example 4: Pause Insertion")
+    print("="*50)
+    
+    pipeline = KPipeline(lang_code='a')
+    
+    # Multiple sentences
+    text = """First sentence of the story.
+    Second sentence with more details.
+    And finally, the conclusion."""
+    
+    # Collect all audio segments
+    audio_segments = []
+    
+    for _, _, audio in pipeline(text, voice='af_heart'):
+        audio_np = audio.numpy() if hasattr(audio, 'numpy') else audio
+        audio_segments.append(audio_np)
+    
+    # Create pause (500ms of silence)
+    sample_rate = 24000
+    pause_duration = 0.5  # seconds
+    silence = np.zeros(int(sample_rate * pause_duration), dtype=np.float32)
+    
+    # Combine with pauses
+    combined = []
+    for i, segment in enumerate(audio_segments):
+        combined.append(segment)
+        if i < len(audio_segments) - 1:  # Don't add pause after last segment
+            combined.append(silence)
+    
+    final_audio = np.concatenate(combined)
+    
+    # Normalize
+    max_val = np.max(np.abs(final_audio))
+    if max_val > 0:
+        final_audio = final_audio / max_val * 0.9
+    
+    filename = 'example4_with_pauses.wav'
+    sf.write(filename, final_audio, 24000)
+    print(f"  Saved: {filename}")
+    print(f"  Duration: {len(final_audio)/24000:.2f} seconds")
+
+
+# ============================================================================
+# EXAMPLE 5: Custom Pronunciation
+# ============================================================================
+
+def example_custom_pronunciation():
+    """Use phoneme markup for custom pronunciations."""
+    print("\n" + "="*50)
+    print("Example 5: Custom Pronunciation")
+    print("="*50)
+    
+    pipeline = KPipeline(lang_code='a')
+    
+    # Custom pronunciation using markdown-style markup
+    # [word](/phonemes/) syntax
+    text_normal = "I love Kokoro text to speech."
+    text_custom = "I love [Kokoro](/kˈOkəɹO/) text to speech."
+    
+    print("\nNormal pronunciation:")
+    for _, phonemes, audio in pipeline(text_normal, voice='af_heart'):
+        print(f"  Phonemes: {phonemes}")
+        audio_np = audio.numpy() if hasattr(audio, 'numpy') else audio
+        sf.write('example5_normal.wav', audio_np, 24000)
+    
+    print("\nCustom pronunciation:")
+    for _, phonemes, audio in pipeline(text_custom, voice='af_heart'):
+        print(f"  Phonemes: {phonemes}")
+        audio_np = audio.numpy() if hasattr(audio, 'numpy') else audio
+        sf.write('example5_custom.wav', audio_np, 24000)
+
+
+# ============================================================================
+# MAIN
+# ============================================================================
+
+if __name__ == "__main__":
+    print("Kokoro TTS - Example Usage")
+    print("==========================")
+    print("This script generates several example audio files.")
+    print("Make sure you have installed: pip install kokoro soundfile")
+    print("And system dependency: apt-get install espeak-ng")
+    
+    try:
+        example_basic_tts()
+        example_speed_control()
+        example_different_voices()
+        example_pause_insertion()
+        example_custom_pronunciation()
+        
+        print("\n" + "="*50)
+        print("All examples completed successfully!")
+        print("Check the current directory for generated .wav files")
+        print("="*50)
+        
+    except ImportError as e:
+        print(f"\nError: {e}")
+        print("Please install required packages:")
+        print("  pip install kokoro soundfile numpy")
+        print("  apt-get install espeak-ng")
+    except Exception as e:
+        print(f"\nError during generation: {e}")

packages.txt

@@ -0,0 +1,6 @@
+# System dependencies for Kokoro TTS
+# Required for phoneme processing and audio encoding
+
+espeak-ng
+ffmpeg
+libsndfile1

requirements.txt

@@ -0,0 +1,20 @@
+# Kokoro TTS - Academic Project Requirements
+# ==========================================
+# For Hugging Face Spaces free tier (CPU-based)
+
+# Core TTS Model
+kokoro>=0.9.4
+
+# Audio Processing
+soundfile>=0.12.1
+numpy>=1.24.0
+
+# Web Interface
+gradio>=4.0.0
+
+# PyTorch (CPU version for free tier compatibility)
+torch>=2.0.0
+torchaudio>=2.0.0
+
+# G2P (Grapheme-to-Phoneme) for text processing
+misaki[en]>=0.9.0