98310bf062
Voice-in/voice-out server for the Shop Bob machine shop assistant. STT (faster-whisper), LLM (Ollama), TTS (Piper) with sentence-level audio streaming over WebSocket for low-latency responses. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
39 lines
1.2 KiB
Python
39 lines
1.2 KiB
Python
from pydantic_settings import BaseSettings
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class Settings(BaseSettings):
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model_config = {"env_prefix": "BOB_", "env_file": ".env", "env_file_encoding": "utf-8"}
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# Networking
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host: str = "0.0.0.0"
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port: int = 8765
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# Whisper STT
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whisper_model: str = "large-v3"
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whisper_device: str = "cuda"
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whisper_compute_type: str = "float16"
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stt_sample_rate: int = 16000
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max_concurrent_transcriptions: int = 2
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# Ollama LLM
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ollama_url: str = "http://localhost:11434"
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llm_model: str = "llama3.1:8b"
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max_concurrent_llm: int = 3
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# Piper TTS
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piper_model: str = "en_US-lessac-medium"
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tts_sample_rate: int = 22050
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# System prompt for the machine shop assistant
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system_prompt: str = (
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"You are Bob, a knowledgeable machine shop assistant. "
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"Give concise, direct answers about machining, tooling, materials, "
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"feeds and speeds, and shop processes. "
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"Always prioritize safety — if a question involves a potentially "
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"dangerous operation, lead with the safety considerations. "
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"Keep answers short and practical — shop floor workers need quick info, "
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"not essays."
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)
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settings = Settings()
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