Mauro Rosero P.
ccdfa68813
Solución al error de importación de las clases Model y KaldiRecognizer: - Movidas las importaciones de dependencias al inicio del script - Implementado sistema de verificación global de dependencias - Manejo más robusto de errores cuando faltan dependencias - Eliminada duplicación en la verificación de dependencias 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
418 lines
No EOL
17 KiB
Python
Executable file
418 lines
No EOL
17 KiB
Python
Executable file
#!/usr/bin/env python3
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# [Script] : claude_voice.py
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# [Apps] : MRDEVS TOOLS
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# [Description]: Convierte instrucciones de voz a texto para Claude Code
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# [Author] : Cortana Rosero One <cortana@rosero.one>
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# [Generated] : Created by Claude Code (claude-3-7-sonnet-20250219)
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# [Created] : 2025/03/30 16:45:00
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# [Modified] : 2025/03/30 17:45:00
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# [Version] : 1.3.0
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# [Use Notes] : Instalar dependencias en Ubuntu/Debian: sudo apt install python3-pyaudio python3-pip && pip install --user vosk pydub sounddevice wget
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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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import argparse
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import time
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import queue
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import threading
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# Intentar importar las dependencias
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try:
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import sounddevice as sd
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from vosk import Model, KaldiRecognizer
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from pydub import AudioSegment
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from pydub.playback import play
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DEPS_LOADED = True
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except ImportError:
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DEPS_LOADED = False
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# Colores para la salida
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class Colors:
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PURPLE = '\033[95m'
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BLUE = '\033[94m'
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CYAN = '\033[96m'
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GREEN = '\033[92m'
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YELLOW = '\033[93m'
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RED = '\033[91m'
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BOLD = '\033[1m'
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UNDERLINE = '\033[4m'
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END = '\033[0m'
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def play_sound(sound_type):
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"""Reproduce un sonido para indicar estados"""
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sounds_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), "sounds")
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if not os.path.exists(sounds_dir):
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os.makedirs(sounds_dir, exist_ok=True)
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# Usar sonidos predeterminados si existen, o crearlos
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sound_files = {
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"start": os.path.join(sounds_dir, "start.mp3"),
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"stop": os.path.join(sounds_dir, "stop.mp3"),
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"error": os.path.join(sounds_dir, "error.mp3")
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}
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# Si no hay archivo de sonido, usar un beep básico
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try:
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if os.path.exists(sound_files[sound_type]):
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sound = AudioSegment.from_file(sound_files[sound_type])
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play(sound)
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else:
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# Frecuencias para diferentes tipos de sonidos
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if sound_type == "start":
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print("\a") # Beep básico del sistema
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elif sound_type == "stop":
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print("\a")
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time.sleep(0.1)
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print("\a")
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elif sound_type == "error":
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print("\a")
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time.sleep(0.1)
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print("\a")
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time.sleep(0.1)
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print("\a")
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except Exception:
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# Si hay algún error reproduciendo el sonido, simplemente continuamos
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pass
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def download_model(language="es"):
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"""Descarga el modelo de Vosk si no existe"""
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# Mapeo de códigos de idioma estándar a formato de Vosk
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language_map = {
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"es-ES": "es",
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"es-AR": "es",
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"es-MX": "es",
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"es-CO": "es",
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"es": "es",
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"en-US": "en-us",
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"en-GB": "en-us",
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"en": "en-us",
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"fr-FR": "fr",
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"fr": "fr",
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"de-DE": "de",
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"de": "de",
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"it-IT": "it",
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"it": "it",
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"pt-PT": "pt",
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"pt-BR": "pt",
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"pt": "pt",
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"ru-RU": "ru",
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"ru": "ru"
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}
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# Obtener código de idioma para Vosk
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lang_code = language_map.get(language, language)
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if "-" in lang_code and lang_code not in language_map.values():
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lang_code = lang_code.split("-")[0]
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# Establecer URLs de modelos verificados
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model_urls = {
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"es": "https://alphacephei.com/vosk/models/vosk-model-small-es-0.42.zip",
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"en-us": "https://alphacephei.com/vosk/models/vosk-model-small-en-us-0.15.zip",
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"fr": "https://alphacephei.com/vosk/models/vosk-model-small-fr-0.22.zip",
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"de": "https://alphacephei.com/vosk/models/vosk-model-small-de-0.15.zip",
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"it": "https://alphacephei.com/vosk/models/vosk-model-small-it-0.22.zip",
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"pt": "https://alphacephei.com/vosk/models/vosk-model-small-pt-0.3.zip",
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"ru": "https://alphacephei.com/vosk/models/vosk-model-small-ru-0.22.zip"
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}
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# Si no hay URL para este idioma, usar el inglés como fallback
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if lang_code not in model_urls:
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print(f"{Colors.YELLOW}No se encontró un modelo para el idioma '{lang_code}', usando el inglés como alternativa.{Colors.END}")
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lang_code = "en-us"
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# Usar el directorio de modelos con versión específica
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model_name = os.path.basename(model_urls[lang_code]).replace(".zip", "")
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model_path = os.path.expanduser(f"~/.vosk/models/{model_name}")
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if os.path.exists(model_path):
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return model_path
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print(f"{Colors.BLUE}[Claude Voice]{Colors.END} {Colors.YELLOW}Descargando modelo de voz para {lang_code}...{Colors.END}")
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# Crear directorio para modelos si no existe
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os.makedirs(os.path.expanduser("~/.vosk/models"), exist_ok=True)
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# Descargar e instalar el modelo
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try:
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# Importar wget solo cuando se necesita
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import wget
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url = model_urls[lang_code]
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zip_path = os.path.expanduser(f"~/.vosk/models/{os.path.basename(url)}")
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print(f"{Colors.BLUE}[Claude Voice]{Colors.END} {Colors.YELLOW}Descargando desde: {url}{Colors.END}")
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# Descargar el modelo
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wget.download(url, zip_path)
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print() # Nueva línea después de la barra de progreso
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# Extraer el modelo
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import zipfile
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with zipfile.ZipFile(zip_path, 'r') as zip_ref:
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zip_ref.extractall(os.path.expanduser("~/.vosk/models/"))
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# Eliminar el zip
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os.remove(zip_path)
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print(f"{Colors.BLUE}[Claude Voice]{Colors.END} {Colors.GREEN}Modelo descargado y extraído correctamente en {model_path}{Colors.END}")
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return model_path
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except Exception as e:
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print(f"{Colors.RED}Error al descargar el modelo: {e}{Colors.END}")
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print(f"{Colors.YELLOW}Por favor, descargue manualmente el modelo desde: {Colors.UNDERLINE}https://alphacephei.com/vosk/models{Colors.END}")
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print(f"{Colors.YELLOW}Y colóquelo en: {model_path}{Colors.END}")
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sys.exit(1)
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def recognize_speech(language="es-ES"):
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"""Captura audio del micrófono y lo convierte a texto usando Vosk (local)"""
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# Descargar o verificar modelo
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model_path = download_model(language)
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# Configurar el modelo
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model = Model(model_path)
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samplerate = 16000
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# Configurar cola para recibir audio
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q = queue.Queue()
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# Función para callback de audio
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def callback(indata, frames, time, status):
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if status:
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print(f"{Colors.YELLOW}[Claude Voice] Status: {status}{Colors.END}")
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q.put(bytes(indata))
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# Iniciar captura de audio
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print(f"{Colors.BLUE}[Claude Voice]{Colors.END} {Colors.YELLOW}Escuchando...{Colors.END} (Presiona Ctrl+C para detener)")
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play_sound("start")
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# Preparar reconocedor
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rec = KaldiRecognizer(model, samplerate)
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try:
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with sd.RawInputStream(samplerate=samplerate, blocksize=8000,
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dtype='int16', channels=1, callback=callback):
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# Variables para controlar el reconocimiento
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start_time = time.time()
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timeout = 10 # segundos
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last_text_time = time.time()
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final_result = ""
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partial_results = []
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# Procesar audio
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while True:
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# Comprobar timeout
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if (time.time() - start_time) > timeout:
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break
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# Comprobar si hay silencio prolongado después de hablar
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if final_result and (time.time() - last_text_time) > 1.5:
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break
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# Obtener datos de audio
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data = q.get()
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# Reconocer voz
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if rec.AcceptWaveform(data):
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result = json.loads(rec.Result())
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if result.get("text", ""):
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text = result["text"]
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final_result = text
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last_text_time = time.time()
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print(f"{Colors.BLUE}[Claude Voice]{Colors.END} {Colors.GREEN}Procesando audio...{Colors.END}")
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else:
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# Resultados parciales
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partial = json.loads(rec.PartialResult())
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if partial.get("partial", ""):
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partial_text = partial["partial"]
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if partial_text:
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partial_results.append(partial_text)
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last_text_time = time.time()
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except KeyboardInterrupt:
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print(f"\n{Colors.BLUE}[Claude Voice]{Colors.END} {Colors.YELLOW}Reconocimiento interrumpido{Colors.END}")
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except Exception as e:
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play_sound("error")
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print(f"{Colors.RED}Error en el reconocimiento de voz: {e}{Colors.END}")
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return None
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finally:
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play_sound("stop")
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# Si no hay resultado final pero hay parciales, usar el último parcial
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if not final_result and partial_results:
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final_result = partial_results[-1]
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return final_result
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def send_to_claude(text, silent=False):
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"""Envía el texto reconocido a Claude Code"""
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if not text:
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return False
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if not silent:
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print(f"{Colors.BLUE}[Claude Voice]{Colors.END} Enviando a Claude Code: {Colors.BOLD}{text}{Colors.END}")
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try:
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# Usar la ruta de instalación de Claude Code
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claude_cmd = "claude" if os.system("which claude > /dev/null 2>&1") == 0 else "/usr/local/bin/claude"
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# Enviar el texto como entrada a Claude
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result = subprocess.run([claude_cmd, text],
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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text=True,
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check=False)
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if result.returncode != 0:
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print(f"{Colors.RED}Error al ejecutar Claude Code: {result.stderr}{Colors.END}")
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return False
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return True
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except Exception as e:
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print(f"{Colors.RED}Error al ejecutar Claude Code: {e}{Colors.END}")
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return False
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def interactive_mode(language="es-ES", continuous=False):
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"""Modo interactivo que escucha continuamente comandos de voz"""
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print(f"{Colors.BLUE}[Claude Voice]{Colors.END} {Colors.GREEN}Modo interactivo iniciado. Di tus instrucciones para Claude Code.{Colors.END}")
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print(f"{Colors.BLUE}[Claude Voice]{Colors.END} {Colors.YELLOW}Di 'salir' o 'terminar' para finalizar{Colors.END}")
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try:
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while True:
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text = recognize_speech(language)
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if text:
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text = text.strip()
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print(f"{Colors.BLUE}[Claude Voice]{Colors.END} {Colors.GREEN}Reconocido: {Colors.BOLD}{text}{Colors.END}")
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# Verificar comandos de salida
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if text.lower() in ["salir", "terminar", "exit", "quit", "goodbye", "bye"]:
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print(f"{Colors.BLUE}[Claude Voice]{Colors.END} {Colors.YELLOW}Saliendo del modo de voz...{Colors.END}")
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break
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# Enviar a Claude Code
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success = send_to_claude(text)
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# Si no es modo continuo, salir después del primer comando exitoso
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if not continuous and success:
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break
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# Pausa breve entre reconocimientos
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if continuous:
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time.sleep(1)
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except KeyboardInterrupt:
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print(f"\n{Colors.BLUE}[Claude Voice]{Colors.END} {Colors.YELLOW}Modo de voz interrumpido por el usuario{Colors.END}")
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print(f"{Colors.BLUE}[Claude Voice]{Colors.END} {Colors.GREEN}¡Hasta pronto!{Colors.END}")
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def list_audio_devices():
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"""Lista los dispositivos de audio disponibles"""
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print(f"{Colors.BLUE}[Claude Voice]{Colors.END} {Colors.GREEN}Dispositivos de audio disponibles:{Colors.END}")
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devices = sd.query_devices()
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print(f"{Colors.CYAN}{'ID':<4} {'Nombre':<30} {'Canales (E/S)':<15} {'Predeterminado':<12}{Colors.END}")
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print("-" * 65)
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for i, device in enumerate(devices):
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default_mark = ""
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try:
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if device.get('name') == sd.query_devices(kind='input')['name']:
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default_mark = "⭐ (entrada)"
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elif device.get('name') == sd.query_devices(kind='output')['name']:
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default_mark = "⭐ (salida)"
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except:
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pass
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channels = f"{device.get('max_input_channels', 0)}/{device.get('max_output_channels', 0)}"
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print(f"{i:<4} {device.get('name', 'Desconocido'):<30} {channels:<15} {default_mark}")
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return True
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def get_supported_languages():
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"""Devuelve una lista de idiomas soportados"""
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return {
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"es": "Español",
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"en-us": "Inglés (EEUU)",
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"fr": "Francés",
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"de": "Alemán",
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"it": "Italiano",
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"pt": "Portugués",
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"ru": "Ruso"
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}
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def list_languages():
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"""Muestra una lista de idiomas soportados"""
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languages = get_supported_languages()
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print(f"{Colors.BLUE}[Claude Voice]{Colors.END} {Colors.GREEN}Idiomas soportados:{Colors.END}")
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print(f"{Colors.CYAN}{'Código':<8} {'Idioma':<20}{Colors.END}")
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print("-" * 30)
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for code, name in languages.items():
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print(f"{code:<8} {name:<20}")
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# Mostrar información sobre los alias
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print(f"\n{Colors.YELLOW}Nota: Todos los códigos regionales (es-ES, es-AR, etc.) se mapean al idioma base (es).{Colors.END}")
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return True
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def main():
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parser = argparse.ArgumentParser(description='Claude Code Voice - Convierte voz a texto para Claude Code usando reconocimiento local')
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parser.add_argument('-l', '--language', default='es', help='Idioma para reconocimiento (ej. es, en-us)')
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parser.add_argument('-c', '--continuous', action='store_true', help='Modo continuo - escucha constantemente hasta que digas "salir"')
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parser.add_argument('-t', '--text', help='Texto a enviar directamente (sin reconocimiento de voz)')
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parser.add_argument('-s', '--silent', action='store_true', help='Modo silencioso - no muestra mensajes extra')
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parser.add_argument('-d', '--device', type=int, help='ID del dispositivo de audio a utilizar')
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parser.add_argument('--list-devices', action='store_true', help='Listar dispositivos de audio disponibles')
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parser.add_argument('--list-languages', action='store_true', help='Listar idiomas soportados')
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parser.add_argument('--install-deps', action='store_true', help='Instalar dependencias')
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args = parser.parse_args()
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# Instalar dependencias si se solicita
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if args.install_deps:
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try:
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print(f"{Colors.BLUE}[Claude Voice]{Colors.END} {Colors.YELLOW}Instrucciones para instalar dependencias...{Colors.END}")
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print("\nPara sistemas Ubuntu/Debian, ejecuta los siguientes comandos:")
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print(f"{Colors.GREEN}sudo apt install python3-pyaudio python3-pip{Colors.END}")
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print(f"{Colors.GREEN}pip install --user vosk pydub sounddevice wget{Colors.END}")
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print("\nPara otros sistemas, consulta la documentación de Vosk:")
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print(f"{Colors.GREEN}https://alphacephei.com/vosk/install{Colors.END}")
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print("\nSi prefieres usar un entorno virtual (recomendado):")
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print(f"{Colors.GREEN}sudo apt install python3-venv python3-pyaudio{Colors.END}")
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print(f"{Colors.GREEN}python3 -m venv ~/venv-claude-voice{Colors.END}")
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print(f"{Colors.GREEN}source ~/venv-claude-voice/bin/activate{Colors.END}")
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print(f"{Colors.GREEN}pip install vosk pydub sounddevice wget{Colors.END}")
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print(f"{Colors.GREEN}# Luego ejecuta: ~/venv-claude-voice/bin/python3 /home/mrosero/devs/bin/claude_voice.py{Colors.END}")
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return
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except Exception as e:
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print(f"{Colors.RED}Error al mostrar instrucciones: {e}{Colors.END}")
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sys.exit(1)
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# Verificar si las dependencias están instaladas
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if not DEPS_LOADED:
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print(f"{Colors.RED}Error: Faltan dependencias requeridas para el reconocimiento de voz.{Colors.END}")
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print(f"{Colors.YELLOW}Ejecuta '{sys.argv[0]} --install-deps' para ver instrucciones de instalación.{Colors.END}")
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sys.exit(1)
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# Listar dispositivos si se solicita
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if args.list_devices:
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list_audio_devices()
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return
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# Listar idiomas si se solicita
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if args.list_languages:
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list_languages()
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return
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# Enviar texto directo si se proporciona
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if args.text:
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send_to_claude(args.text, args.silent)
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return
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# Modo interactivo con reconocimiento de voz
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interactive_mode(args.language, args.continuous)
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if __name__ == "__main__":
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|
main() |