42cab2a6ef
Add pipecat-based backend with WebRTC/WS voice routes, Next.js frontend, and Docker Compose orchestration. Co-authored-by: Cursor <cursoragent@cursor.com>
54 lines
1.8 KiB
Python
54 lines
1.8 KiB
Python
"""创建 STT / LLM / TTS 服务。
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对应 dograh 的 service_factory.py,但只留一套国产栈(OpenAI 兼容),
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按 provider 扩展时在这里加分支即可——这是未来接更多模型的唯一入口。
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"""
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import config
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from loguru import logger
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from models import AssistantConfig
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from pipecat.services.openai.llm import OpenAILLMService
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from pipecat.services.openai.stt import OpenAISTTService
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from pipecat.services.openai.tts import OpenAITTSService
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def create_stt(cfg: AssistantConfig):
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"""SenseVoice / FunASR 等,走 OpenAI 兼容的 /v1/audio/transcriptions。
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连接信息优先用 cfg(由 config_resolver 从 DB 注入),为空回退 .env 默认。
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"""
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return OpenAISTTService(
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api_key=cfg.stt_api_key or config.STT_API_KEY,
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base_url=cfg.stt_base_url or config.STT_BASE_URL,
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model=cfg.asr or config.STT_MODEL,
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)
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def create_llm(cfg: AssistantConfig):
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"""DeepSeek 等,走 OpenAI 兼容的 /v1/chat/completions。"""
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return OpenAILLMService(
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api_key=cfg.llm_api_key or config.LLM_API_KEY,
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base_url=cfg.llm_base_url or config.LLM_BASE_URL,
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model=cfg.model or config.LLM_MODEL,
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)
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def create_tts(cfg: AssistantConfig):
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"""CosyVoice 等,走 OpenAI 兼容的 /v1/audio/speech。"""
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return OpenAITTSService(
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api_key=cfg.tts_api_key or config.TTS_API_KEY,
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base_url=cfg.tts_base_url or config.TTS_BASE_URL,
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model=config.TTS_MODEL,
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voice=cfg.voice or config.TTS_VOICE,
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)
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def create_services(cfg: AssistantConfig):
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logger.info(
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f"创建服务: stt={cfg.asr or config.STT_MODEL} "
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f"llm={cfg.model or config.LLM_MODEL} "
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f"tts={cfg.voice or config.TTS_VOICE}"
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)
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return create_stt(cfg), create_llm(cfg), create_tts(cfg)
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