458 lines
17 KiB
Python
458 lines
17 KiB
Python
# help_content.py
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# pylint: disable=no-member
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class AllTalkHelpContent:
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"""CSS and help content for help_content.py"""
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custom_css = """
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/* Add this to your existing CSS */
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.gradio-container .prose {
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max-width: none !important;
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padding: 0.5rem !important; /* Reduced padding */
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margin: 0 !important;
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}
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.custom-markdown div {
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border: none !important; /* Remove the inner border */
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margin-top: 0 !important; /* Remove top margin */
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margin-bottom: 0 !important; /* Remove bottom margin */
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padding-top: 0 !important; /* Remove top padding */
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padding-bottom: 0 !important; /* Remove bottom padding */
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}
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/* Update the existing custom-markdown class */
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.custom-markdown {
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font-size: 15px !important;
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line-height: 1.6 !important;
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color: var(--body-text-color) !important;
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background-color: var(--background-fill-primary) !important;
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border: 1px solid var(--border-color-primary) !important;
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border-radius: 8px !important;
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padding: 0.5rem !important;
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margin: 0 !important; /* Changed from 1rem 0 to 0 */
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max-width: 100% !important;
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box-sizing: border-box !important;
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/* Default text color for all content (grey) */
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color: rgba(156, 163, 175, 1) !important; /* Adjust this grey value to match your interface */
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}
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/* Make headings white */
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.custom-markdown h1,
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.custom-markdown h2,
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.custom-markdown h3,
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.custom-markdown h4,
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.custom-markdown h5,
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.custom-markdown h6 {
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color: var(--heading-text-color, var(--body-text-color)) !important;
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font-weight: 600 !important;
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}
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/* Keep all other elements in the grey color */
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.custom-markdown p,
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.custom-markdown li,
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.custom-markdown ul,
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.custom-markdown ol {
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color: rgba(156, 163, 175, 1) !important; /* Same grey as the base text */
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}
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/* Additional targeting for any wrapping elements */
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.gradio-container .prose > * {
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margin: 0 !important;
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padding: 0 !important;
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}
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/* Update the list item spacing in your existing CSS */
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.custom-markdown li {
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font-size: 0.95rem !important;
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margin-bottom: 0.2rem !important; /* Reduced from 0.5rem to 0.3rem */
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}
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/* Add specific styling for definition-style lists (like your Default, Recommendation, Tip items) */
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.custom-markdown li p {
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margin: 0 !important; /* Remove paragraph margins within list items */
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}
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/* If you need even tighter spacing for specific types of lists */
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.custom-markdown li + li {
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margin-top: 0.2rem !important; /* Space between consecutive list items */
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}
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/* Ensure nested lists maintain proper spacing */
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.custom-markdown li > ul,
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.custom-markdown li > ol {
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margin: 0.2rem 0 0.2rem 1rem !important; /* Reduced from 0.5rem */
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}
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/* Consistent heading styles */
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.custom-markdown h2 {
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font-size: 1.2rem !important; /* Fixed size relative to root */
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font-weight: 600 !important;
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margin: 1.5rem 0 1rem !important;
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color: var(--heading-text-color, var(--body-text-color)) !important;
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border-bottom: 1px solid var(--border-color-primary) !important;
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padding-bottom: 0.5rem !important;
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}
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/* First paragraph styling */
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.custom-markdown p:first-of-type {
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font-size: 0.95rem !important; /* Match base size */
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font-weight: 400 !important;
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margin-bottom: 1rem !important;
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}
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/* Regular paragraphs */
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.custom-markdown p {
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font-size: 0.95rem !important;
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margin: 0.8rem 0 !important;
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}
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/* List styling */
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.custom-markdown ul,
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.custom-markdown ol {
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margin: 0.8rem 0 !important;
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padding-left: 1.5rem !important;
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}
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/* Code styling */
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.custom-markdown code {
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font-family: ui-monospace, monospace !important;
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background-color: var(--background-fill-secondary) !important;
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padding: 0.2rem 0.4rem !important;
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border-radius: 4px !important;
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font-size: 0.8rem !important; /* Slightly smaller than regular text */
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color: var(--body-text-color) !important;
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}
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/* Add styles for bold and emphasis */
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.custom-markdown strong {
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font-weight: 600 !important;
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color: var(--body-text-color) !important;
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}
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.custom-markdown em {
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font-style: italic !important;
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}
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/* Ensure both columns take equal width */
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.gradio-row > div {
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flex: 1 1 50% !important;
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min-width: 0 !important; /* Prevents flex items from overflowing */
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}
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"""
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ENGINE_INFORMATION = """
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## 🔊 TTS Engine Capabilities Help
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This guide explains the various capabilities that **may** be available in different TTS engines and models. Each capability affects how the TTS engine processes and generates speech output.
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"""
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ENGINE_INFORMATION1 = """
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## 🚀 Performance Features
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- **DeepSpeed Capable**: Enables GPU acceleration using the DeepSpeed optimization library.
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- **Requires**: NVIDIA GPU with CUDA support
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- **Benefit**: Significantly faster text-to-speech generation
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- **Note**: Model must specifically support DeepSpeed inference
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- **Low VRAM Capable**: Optimized for systems with limited GPU memory.
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- **Benefit**: Efficient memory management between CPU and GPU
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- **Use Case**: Ideal when running alongside other GPU-intensive applications like LLMs
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- **Note**: May trade speed for memory efficiency
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- **Streaming Capable**: Enables real-time speech generation.
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- **Benefit**: Immediate playback without generating entire audio first
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- **Use Case**: Interactive applications and real-time responses
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- **Note**: Not all output formats support streaming
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## 🎵 Voice Control Features
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- **Pitch Capable**: Allows adjustment of voice pitch.
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- **Benefit**: Creates more expressive and varied speech output
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- **Use Case**: Customizing voice characteristics
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- **Note**: Adjustment range varies by model
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- **Generation Speed Capable**: Controls speech rate.
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- **Benefit**: Adjustable playback speed during generation
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- **Use Case**: Creating faster or slower speech output
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- **Note**: May affect audio quality at extreme settings
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- **Temperature Capable**: Controls output randomness.
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- **Benefit**: Adjustable speech variation and creativity
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- **Use Case**: Balancing consistency vs. naturality
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- **Note**: Higher values increase variation but may reduce quality
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"""
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ENGINE_INFORMATION2 = """
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## 🎯 Quality Enhancement Features
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- **Repetition Penalty Capable**: Prevents unnatural speech patterns.
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- **Benefit**: Reduces repeated sounds and phrases
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- **Use Case**: Improving natural flow of longer texts
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- **Note**: Strength of penalty may be adjustable
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## 🌐 Multi-Feature Support
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- **Multi-Languages Capable Models**: Each model Supports multiple languages.
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- **Benefit**: Generate speech in different languages
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- **Note**: Quality may vary between languages
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- **Tip**: Check model-specific language support
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- **Multi-Voice Capable**: Supports multiple speaking voices.
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- **Benefit**: Different voices or speaking styles
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- **Types**: Pre-trained voices or voice cloning
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- **Note**: Voice quality may vary by model
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- **Multi-Model Capable Engine**: Supports multiple TTS models.
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- **Benefit**: Flexibility in model selection
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- **Use Case**: Switching between models for different needs
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- **Note**: Each model may have different capabilities
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## 📁 Technical Features
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- **Default Audio Output Format**: Specifies output file format.
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- **Common Formats**: WAV, MP3, FLAC, Opus, AAC, PCM
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- **Note**: Transcoding to different formats adds processing time
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- **Warning**: Not all formats support streaming
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- **Platform Support**: Operating system compatibility.
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- **Platforms**: Windows, Linux, macOS
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- **Note**: Additional setup may be required
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- **Warning**: Support level may vary by platform
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"""
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DEFAULT_SETTINGS = """
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## 🎯 TTS Engine Settings Help
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This guide explains the settings and configuration options available for individual Text-to-Speech engines within AllTalk.
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"""
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DEFAULT_SETTINGS1 = """
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## 🎚️ Engine Capabilities & Controls
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- **Low VRAM Mode**
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- Optimizes memory usage for systems with limited GPU memory
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- Efficiently manages resources by moving data between CPU and GPU
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- Recommended for systems with less than 4GB VRAM or when running alongside other GPU-intensive applications
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- **DeepSpeed Capability**
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- Accelerates TTS generation using optimized inference
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- Only available for engines and models that support DeepSpeed
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- Requires NVIDIA GPU with CUDA support
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- **Temperature Control**
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- Adjusts the variability in speech generation
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- **Range**: 0.0 to 1.0
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- **Lower values** (0.1-0.5): More consistent, stable output
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- **Higher values** (0.6-1.0): More variable, potentially more natural-sounding output
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- **Repetition Penalty**
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- Helps prevent repetitive speech patterns
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- **Range**: 1.0 to 15.0
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- Higher values more strongly discourage repetition
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- Typically most effective between 1.0-3.0
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- **Pitch Adjustment**
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- Modifies the voice pitch when supported
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- **Range**: -20 to +20
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- Use subtle adjustments for most natural results
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- **Generation Speed**
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- Controls the pace of generated speech
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- **Range**: 0.5 to 2.0
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- 1.0 represents normal speed
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"""
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DEFAULT_SETTINGS2 = """
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## 🗣️ Voice Configuration
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### OpenAI Voice Mappings
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- Only relevant when using the OpenAI-compatible API endpoint
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- Maps OpenAI's six standard voices to equivalent voices in the current engine:
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- `alloy`
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- `echo`
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- `fable`
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- `nova`
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- `onyx`
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- `shimmer`
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- Essential for maintaining compatibility with OpenAI API calls
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- Each mapping can be customized to any available voice in the current engine
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Information on the OpenAI Endpoint is available in the [Github Wiki](https://github.com/erew123/alltalk_tts/wiki)
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### Default Voices
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- **Default/Character Voice**: Used when no specific voice is specified in API calls
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- **Narrator Voice**: Separate default for narrator-specific text
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- These defaults are engine-specific and won't affect other TTS engines
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- Can be overridden by explicitly specifying voices in API calls
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## ⚙️ Important Notes
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- Settings availability is determined by engine capabilities
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- Grayed-out options indicate features not supported by the current engine
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- Changes only affect the currently selected TTS engine
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- Settings here act as defaults but can be overridden via API parameters
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- All changes require clicking "Update Settings" to take effect
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- Some settings require an engine reload to take effect
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"""
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HELP_PAGE = """
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## 🎯 XTTS Voice Cloning Engine Help
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XTTS is a powerful multi-speaker, voice cloning model that can generate speech in multiple languages using short audio samples for voice cloning.
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"""
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HELP_PAGE1 = """
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## 🎚️ Engine Capabilities & Controls
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- **DeepSpeed Support**
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- Accelerates generation using optimized inference
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- Requires NVIDIA GPU with CUDA support
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- 2-3x speed improvement in generation
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- Recommended when available
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- **Multi-Language Support**
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- Clone voices across multiple languages
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- No need for language-specific training
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- Full Hindi support in v2.0.3 (API Local method only)
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- Natural-sounding output in target language
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- **Generation Methods**
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- API Local: Standard generation method
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- XTTSv2 Local: Enhanced method with DeepSpeed support
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- Each method may produce slightly different results
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- Try both methods if voice quality isn't optimal
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## 🎤 Voice Sample Creation Guide
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### Audio Requirements
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- Format: WAV or MP3
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- Sample Rate: 22050Hz
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- Channels: Mono
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- Bit Depth: 16-bit
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- Duration: 6-30 seconds (optimal: 8-10 seconds)
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### Recording Tips
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1. **Audio Quality**
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- Choose clear, clean recordings
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- Avoid background noise, music, or echoes
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- Watch for audio artifacts like hiss or hum
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- Ensure consistent volume levels
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2. **Speech Content**
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- Use flowing, natural speech
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- Avoid long pauses or gaps
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- Include some emotional range
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- Avoid breathing sounds at start/end
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- Choose samples with good vocal variety
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### Using Audacity
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1. **Basic Editing**
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- Open your audio file in Audacity
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- Select the best 6-30 second segment
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- Remove unwanted sounds or silence
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2. **Processing Steps**
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```
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1. Clean up audio if needed (noise reduction, normalization)
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2. Tracks > Resample to 22050Hz
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3. Tracks > Mix > Stereo to Mono
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4. File > Export Audio as WAV
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```
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## 🗣️ Voice Management
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### Single Voice Setup
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- Place WAV/MP3 files in `/alltalk_tts/voices/`
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- Use descriptive filenames (e.g., `broadcaster_male.wav`)
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- Files appear as individual voices in interface
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- Best for quick testing or simple use cases
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### Multi-Voice Sets
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- Create folders in `/alltalk_tts/voices/xtts_multi_voice_sets/`
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- Add multiple samples per voice
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- System randomly selects up to 5 samples
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- Better for consistent voice reproduction
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- Example: `/voices/xtts_multi_voice_sets/broadcaster_voice/`
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### Pre-computed Latents
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- Stored in `/voices/xtts_latents/`
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- Faster generation times
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- Reduced memory usage
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- Recommended for frequently used voices
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"""
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HELP_PAGE2 = """
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## 📝 Model Versions
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### v2.0.3 (Recommended)
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- Latest stable release
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- Full language support including Hindi
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- Best overall performance
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- Complete feature set
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### v2.0.2 (Alternative)
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- Stable fallback option
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- Good performance
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- Use if v2.0.3 has issues
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### Required Files
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- `config.json`: Model configuration
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- `model.pth`: Core model weights
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- `mel_stats.pth`: Audio statistics
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- `speakers_xtts.pth`: Speaker embeddings
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- `vocab.json`: Tokenizer vocabulary
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- `dvae.pth`: Discrete VAE weights
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## 🔍 Troubleshooting Voice Quality
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If voice cloning results aren't satisfactory:
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1. **Audio Quality Issues**
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- Verify sample meets technical requirements
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- Check for background noise
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- Ensure proper resampling
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- Try processing audio to improve clarity
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2. **Generation Options**
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- Try both API Local and XTTSv2 Local methods
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- Adjust temperature settings
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- Use multiple voice samples
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- Consider creating latents
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3. **Advanced Solutions**
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- Try model finetuning (see Github Wiki)
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- Use RVC pipeline for additional processing
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- Test different voice samples
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- Remember: 100% match isn't possible
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## 📁 File Management
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- **Models**: `/alltalk_tts/models/xtts/`
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- **Voice Samples**: `/alltalk_tts/voices/`
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- **Multi-Voice Sets**: `/alltalk_tts/voices/xtts_multi_voice_sets/`
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- **Latents**: `/alltalk_tts/voices/xtts_latents/`
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- **Outputs**: `/alltalk_tts/outputs/`
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- Automatic cleanup available
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- Configurable retention period
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- Set to 'Disabled' to keep all files
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## 💡 Best Practices
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1. **Sample Selection**
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- Use high-quality recordings
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- Choose emotionally varied speech
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- Avoid background noise
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- Test multiple samples
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2. **Performance**
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- Enable DeepSpeed when available
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- Use pre-computed latents
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- Consider multi-voice sets
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- Monitor system resources
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3. **Workflow**
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- Process audio before use
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- Test both generation methods
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- Keep original samples organized
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- Regular cleanup of output files
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""" |