Initial commit: workspace setup with skills, memory, config
This commit is contained in:
root
86
skills/kimi-tts-custom/scripts/generate_voice.py
Executable file
86
skills/kimi-tts-custom/scripts/generate_voice.py
Executable file
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#!/usr/bin/env python3
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"""
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Generate voice with custom Kimi-XXX filename using local Kokoro TTS
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Usage: generate_voice.py "Text to speak" [--voice af_bella] [--output-dir /tmp] [--speed 1.3]
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"""
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import argparse
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import json
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import os
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import sys
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import tempfile
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import urllib.request
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from datetime import datetime
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def generate_voice(text, voice="af_bella", output_dir="/tmp", model="tts-1", speed=1.3):
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"""Generate voice file with Kimi-XXX filename"""
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# Generate unique filename: Kimi-YYYYMMDD-HHMMSS.ogg
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timestamp = datetime.now().strftime("%Y%m%d-%H%M%S")
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filename = f"Kimi-{timestamp}.ogg"
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filepath = os.path.join(output_dir, filename)
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# Call local Kokoro TTS
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tts_url = "http://10.0.0.228:8880/v1/audio/speech"
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data = json.dumps({
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"model": model,
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"input": text,
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"voice": voice,
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"speed": speed
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}).encode()
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req = urllib.request.Request(
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tts_url,
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data=data,
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headers={"Content-Type": "application/json"}
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)
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try:
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with urllib.request.urlopen(req) as response:
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audio_data = response.read()
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# Save to file
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with open(filepath, "wb") as f:
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f.write(audio_data)
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# Estimate duration (rough: ~150 chars per minute at normal speed, adjusted for speed)
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estimated_duration = max(1, len(text) / 150 * 60 / speed)
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result = {
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"filepath": filepath,
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"filename": filename,
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"size_bytes": len(audio_data),
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"estimated_duration_seconds": round(estimated_duration, 1),
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"voice": voice,
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"speed": speed,
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"text": text
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}
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print(json.dumps(result))
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return result
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except Exception as e:
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error_result = {
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"error": str(e),
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"filepath": None,
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"filename": None
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}
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print(json.dumps(error_result), file=sys.stderr)
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sys.exit(1)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Generate voice with Kimi-XXX filename")
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parser.add_argument("text", help="Text to convert to speech")
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parser.add_argument("--voice", default="af_bella",
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help="Voice ID (default: af_bella)")
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parser.add_argument("--output-dir", default="/tmp",
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help="Output directory (default: /tmp)")
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parser.add_argument("--model", default="tts-1",
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help="TTS model (default: tts-1)")
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parser.add_argument("--speed", type=float, default=1.3,
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help="Speech speed multiplier (default: 1.3)")
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args = parser.parse_args()
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generate_voice(args.text, args.voice, args.output_dir, args.model, args.speed)
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119
skills/kimi-tts-custom/scripts/voice_reply.py
Executable file
119
skills/kimi-tts-custom/scripts/voice_reply.py
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#!/usr/bin/env python3
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"""
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Generate voice with Kimi-XXX filename and send via Telegram (voice-only, no text)
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Usage: voice_reply.py <chat_id> "Text to speak" [--voice af_bella] [--speed 1.3] [--bot-token TOKEN]
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"""
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import argparse
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import json
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import os
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import sys
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import subprocess
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import tempfile
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import urllib.request
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from datetime import datetime
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def generate_voice(text, voice="af_bella", output_dir="/tmp", model="tts-1", speed=1.3):
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"""Generate voice file with Kimi-XXX filename"""
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# Generate unique filename: Kimi-YYYYMMDD-HHMMSS.ogg
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timestamp = datetime.now().strftime("%Y%m%d-%H%M%S")
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filename = f"Kimi-{timestamp}.ogg"
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filepath = os.path.join(output_dir, filename)
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# Call local Kokoro TTS
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tts_url = "http://10.0.0.228:8880/v1/audio/speech"
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data = json.dumps({
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"model": model,
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"input": text,
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"voice": voice,
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"speed": speed
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}).encode()
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req = urllib.request.Request(
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tts_url,
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data=data,
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headers={"Content-Type": "application/json"}
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)
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try:
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with urllib.request.urlopen(req) as response:
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audio_data = response.read()
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with open(filepath, "wb") as f:
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f.write(audio_data)
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return filepath, filename
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except Exception as e:
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print(f"Error generating voice: {e}", file=sys.stderr)
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sys.exit(1)
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def send_voice_telegram(chat_id, audio_path, bot_token=None):
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"""Send voice message via Telegram"""
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# Get bot token from env or config
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if not bot_token:
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bot_token = os.environ.get("TELEGRAM_BOT_TOKEN")
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if not bot_token:
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# Try to get from openclaw config
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try:
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result = subprocess.run(
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["openclaw", "config", "get", "channels.telegram.botToken"],
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capture_output=True, text=True
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)
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bot_token = result.stdout.strip()
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except:
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pass
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if not bot_token:
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print("Error: No bot token found. Set TELEGRAM_BOT_TOKEN or provide --bot-token", file=sys.stderr)
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sys.exit(1)
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# Use openclaw CLI to send
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cmd = [
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"openclaw", "message", "send",
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"--channel", "telegram",
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"--target", chat_id,
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"--media", audio_path
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]
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try:
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result = subprocess.run(cmd, capture_output=True, text=True)
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if result.returncode == 0:
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print(f"✅ Voice sent successfully to {chat_id}")
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return True
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else:
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print(f"Error sending voice: {result.stderr}", file=sys.stderr)
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return False
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except Exception as e:
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print(f"Error: {e}", file=sys.stderr)
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return False
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Generate and send voice-only reply")
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parser.add_argument("chat_id", help="Telegram chat ID to send to")
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parser.add_argument("text", help="Text to convert to speech")
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parser.add_argument("--voice", default="af_bella", help="Voice ID (default: af_bella)")
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parser.add_argument("--speed", type=float, default=1.3, help="Speech speed multiplier (default: 1.3)")
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parser.add_argument("--bot-token", help="Telegram bot token (or set TELEGRAM_BOT_TOKEN)")
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parser.add_argument("--keep-file", action="store_true", help="Don't delete temp file after sending")
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args = parser.parse_args()
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print(f"Generating voice for: {args.text[:50]}...")
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filepath, filename = generate_voice(args.text, args.voice, speed=args.speed)
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print(f"Generated: {filename}")
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print(f"Sending to {args.chat_id}...")
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success = send_voice_telegram(args.chat_id, filepath, args.bot_token)
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if success and not args.keep_file:
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os.remove(filepath)
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print(f"Cleaned up temp file")
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elif success:
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print(f"Kept file at: {filepath}")
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sys.exit(0 if success else 1)
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