Initial commit
This commit is contained in:
Zhongwei Li
114
hooks/utils/tts/elevenlabs_mcp.py
Executable file
114
hooks/utils/tts/elevenlabs_mcp.py
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#!/usr/bin/env -S uv run --script
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# /// script
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# requires-python = ">=3.8"
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# dependencies = [
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# "python-dotenv",
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# ]
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# ///
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import os
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import sys
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import json
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import subprocess
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from pathlib import Path
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from dotenv import load_dotenv
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def main():
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"""
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ElevenLabs MCP TTS Script
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Uses ElevenLabs MCP server for high-quality text-to-speech via Claude Code.
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Accepts optional text prompt as command-line argument.
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Usage:
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- ./elevenlabs_mcp.py # Uses default text
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- ./elevenlabs_mcp.py "Your custom text" # Uses provided text
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Features:
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- Integration with Claude Code MCP
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- Automatic voice selection
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- High-quality voice synthesis via ElevenLabs API
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- Optimized for hook usage (quick, reliable)
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"""
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# Load environment variables
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load_dotenv()
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try:
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print("🎙️ ElevenLabs MCP TTS")
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print("=" * 25)
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# Get text from command line argument or use default
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if len(sys.argv) > 1:
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text = " ".join(sys.argv[1:]) # Join all arguments as text
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else:
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text = "Task completed successfully!"
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print(f"🎯 Text: {text}")
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print("🔊 Generating and playing via MCP...")
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try:
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# Use Claude Code CLI to invoke ElevenLabs MCP
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# This assumes the ElevenLabs MCP server is configured in Claude Code
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claude_cmd = [
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"claude", "mcp", "call", "ElevenLabs", "text_to_speech",
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"--text", text,
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"--voice_name", "Adam", # Default voice
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"--model_id", "eleven_turbo_v2_5", # Fast model
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"--output_directory", str(Path.home() / "Desktop"),
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"--speed", "1.0",
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"--stability", "0.5",
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"--similarity_boost", "0.75"
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]
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# Try to run the Claude MCP command
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result = subprocess.run(
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claude_cmd,
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capture_output=True,
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text=True,
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timeout=15 # 15-second timeout for TTS generation
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)
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if result.returncode == 0:
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print("✅ TTS generated and played via MCP!")
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# Try to play the generated audio file
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# Look for recently created audio files on Desktop
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desktop = Path.home() / "Desktop"
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audio_files = list(desktop.glob("*.mp3"))
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if audio_files:
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# Find the most recent audio file
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latest_audio = max(audio_files, key=lambda f: f.stat().st_mtime)
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# Try to play with system default audio player
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if sys.platform == "darwin": # macOS
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subprocess.run(["afplay", str(latest_audio)], capture_output=True)
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elif sys.platform == "linux": # Linux
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subprocess.run(["aplay", str(latest_audio)], capture_output=True)
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elif sys.platform == "win32": # Windows
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subprocess.run(["start", str(latest_audio)], shell=True, capture_output=True)
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print("🎵 Audio playback attempted")
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else:
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print("⚠️ Audio file not found on Desktop")
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else:
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print(f"❌ MCP Error: {result.stderr}")
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# Fall back to simple notification
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print("🔔 TTS via MCP failed - task completion noted")
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except subprocess.TimeoutExpired:
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print("⏰ MCP TTS timed out - continuing...")
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except FileNotFoundError:
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print("❌ Claude CLI not found - MCP TTS unavailable")
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except Exception as e:
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print(f"❌ MCP Error: {e}")
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except Exception as e:
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print(f"❌ Unexpected error: {e}")
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sys.exit(1)
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if __name__ == "__main__":
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main()
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83
hooks/utils/tts/elevenlabs_tts.py
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83
hooks/utils/tts/elevenlabs_tts.py
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#!/usr/bin/env -S uv run --script
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# /// script
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# requires-python = ">=3.8"
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# dependencies = [
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# "elevenlabs",
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# "python-dotenv",
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# ]
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# ///
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import os
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import sys
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from pathlib import Path
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from dotenv import load_dotenv
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def main():
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"""
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ElevenLabs Turbo v2.5 TTS Script
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Uses ElevenLabs' Turbo v2.5 model for fast, high-quality text-to-speech.
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Accepts optional text prompt as command-line argument.
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Usage:
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- ./elevenlabs_tts.py # Uses default text
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- ./elevenlabs_tts.py "Your custom text" # Uses provided text
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Features:
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- Fast generation (optimized for real-time use)
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- High-quality voice synthesis
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- Stable production model
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- Cost-effective for high-volume usage
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"""
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# Load environment variables
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load_dotenv()
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# Get API key from environment
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api_key = os.getenv('ELEVENLABS_API_KEY')
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if not api_key:
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print("❌ Error: ELEVENLABS_API_KEY not found in environment variables", file=sys.stderr)
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print("Please add your ElevenLabs API key to .env file:", file=sys.stderr)
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print("ELEVENLABS_API_KEY=your_api_key_here", file=sys.stderr)
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sys.exit(1)
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try:
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from elevenlabs.client import ElevenLabs
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from elevenlabs.play import play
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# Initialize client
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elevenlabs = ElevenLabs(api_key=api_key)
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# Get text from command line argument or use default
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if len(sys.argv) > 1:
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text = " ".join(sys.argv[1:]) # Join all arguments as text
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else:
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text = "Task completed successfully."
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try:
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# Generate and play audio directly
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audio = elevenlabs.text_to_speech.convert(
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text=text,
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voice_id="EXAVITQu4vr4xnSDxMaL", # Sarah voice
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model_id="eleven_turbo_v2_5",
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output_format="mp3_44100_128",
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)
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play(audio)
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except Exception as e:
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print(f"❌ Error: {e}", file=sys.stderr)
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sys.exit(1)
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except ImportError:
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print("❌ Error: elevenlabs package not installed", file=sys.stderr)
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print("This script uses UV to auto-install dependencies.", file=sys.stderr)
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print("Make sure UV is installed: https://docs.astral.sh/uv/", file=sys.stderr)
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sys.exit(1)
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except Exception as e:
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print(f"❌ Unexpected error: {e}", file=sys.stderr)
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sys.exit(1)
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if __name__ == "__main__":
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main()
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93
hooks/utils/tts/local_tts.py
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93
hooks/utils/tts/local_tts.py
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#!/usr/bin/env -S uv run --script
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# /// script
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# requires-python = ">=3.8"
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# dependencies = [
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# "pyttsx3",
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# ]
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# ///
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import sys
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import random
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import os
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def main():
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"""
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Local TTS Script (pyttsx3)
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Uses pyttsx3 for offline text-to-speech synthesis.
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Accepts optional text prompt as command-line argument.
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Usage:
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- ./local_tts.py # Uses default text
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- ./local_tts.py "Your custom text" # Uses provided text
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Features:
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- Offline TTS (no API key required)
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- Cross-platform compatibility
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- Configurable voice settings
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- Immediate audio playback
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- Engineer name personalization support
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"""
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try:
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import pyttsx3
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# Initialize TTS engine
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engine = pyttsx3.init()
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# Configure engine settings
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engine.setProperty('rate', 180) # Speech rate (words per minute)
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engine.setProperty('volume', 0.9) # Volume (0.0 to 1.0)
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print("🎙️ Local TTS")
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print("=" * 12)
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# Get text from command line argument or use default
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if len(sys.argv) > 1:
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text = " ".join(sys.argv[1:]) # Join all arguments as text
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else:
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# Default completion messages with engineer name support
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engineer_name = os.getenv("ENGINEER_NAME", "").strip()
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if engineer_name and random.random() < 0.3: # 30% chance to use name
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personalized_messages = [
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f"{engineer_name}, all set!",
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f"Ready for you, {engineer_name}!",
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f"Complete, {engineer_name}!",
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f"{engineer_name}, we're done!",
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f"Task finished, {engineer_name}!"
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]
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text = random.choice(personalized_messages)
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else:
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completion_messages = [
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"Work complete!",
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"All done!",
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"Task finished!",
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"Job complete!",
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"Ready for next task!",
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"Ready for your next move!",
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"All set!"
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]
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text = random.choice(completion_messages)
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print(f"🎯 Text: {text}")
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print("🔊 Speaking...")
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# Speak the text
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engine.say(text)
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engine.runAndWait()
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print("✅ Playback complete!")
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except ImportError:
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print("❌ Error: pyttsx3 package not installed")
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print("This script uses UV to auto-install dependencies.")
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sys.exit(1)
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except Exception as e:
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print(f"❌ Error: {e}")
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sys.exit(1)
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if __name__ == "__main__":
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main()
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109
hooks/utils/tts/openai_tts.py
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109
hooks/utils/tts/openai_tts.py
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@@ -0,0 +1,109 @@
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#!/usr/bin/env -S uv run --script
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# /// script
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# requires-python = ">=3.8"
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# dependencies = [
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# "openai",
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# "python-dotenv",
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# ]
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# ///
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import os
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import sys
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import asyncio
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from pathlib import Path
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from dotenv import load_dotenv
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async def main():
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"""
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OpenAI TTS Script
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Uses OpenAI's TTS model for high-quality text-to-speech.
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Accepts optional text prompt as command-line argument.
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Usage:
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- ./openai_tts.py # Uses default text
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- ./openai_tts.py "Your custom text" # Uses provided text
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Features:
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- OpenAI TTS-1 model (fast and reliable)
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- Nova voice (engaging and warm)
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- Direct audio streaming and playback
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- Optimized for hook usage
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"""
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# Load environment variables
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load_dotenv()
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# Get API key from environment
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api_key = os.getenv("OPENAI_API_KEY")
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if not api_key:
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print("❌ Error: OPENAI_API_KEY not found in environment variables")
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sys.exit(1)
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try:
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from openai import AsyncOpenAI
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# Initialize OpenAI client
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openai = AsyncOpenAI(api_key=api_key)
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print("🎙️ OpenAI TTS")
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print("=" * 15)
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# Get text from command line argument or use default
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if len(sys.argv) > 1:
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text = " ".join(sys.argv[1:]) # Join all arguments as text
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else:
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text = "Task completed successfully!"
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print(f"🎯 Text: {text}")
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print("🔊 Generating audio...")
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try:
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# Generate audio using OpenAI TTS
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response = await openai.audio.speech.create(
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model="tts-1",
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voice="nova",
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input=text,
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response_format="mp3",
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)
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# Save to temporary file
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audio_file = Path.home() / "Desktop" / "tts_completion.mp3"
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with open(audio_file, "wb") as f:
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async for chunk in response.iter_bytes():
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f.write(chunk)
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print("🎵 Playing audio...")
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# Play the audio file
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import subprocess
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if sys.platform == "darwin": # macOS
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subprocess.run(["afplay", str(audio_file)], capture_output=True)
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elif sys.platform == "linux": # Linux
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subprocess.run(["aplay", str(audio_file)], capture_output=True)
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elif sys.platform == "win32": # Windows
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subprocess.run(["start", str(audio_file)], shell=True, capture_output=True)
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print("✅ Playback complete!")
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# Clean up the temporary file
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try:
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audio_file.unlink()
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except:
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pass
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except Exception as e:
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print(f"❌ Error: {e}")
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except ImportError as e:
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print("❌ Error: Required package not installed")
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print("This script uses UV to auto-install dependencies.")
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sys.exit(1)
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except Exception as e:
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print(f"❌ Unexpected error: {e}")
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sys.exit(1)
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if __name__ == "__main__":
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asyncio.run(main())
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