noturum
1edfd5d62f
- Created AGENTS.md with architecture documentation - Fixed race conditions and async patterns - Added conversation history to LLM prompts - Fixed TTS audio shape handling - Added buffer limits and graceful shutdown - Fixed client.py with file sending support - Removed duplicate requirements - Added .gitignore
30 lines
864 B
Python
30 lines
864 B
Python
import os
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from pathlib import Path
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from dotenv import load_dotenv
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env_path = Path(__file__).parent / ".env"
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load_dotenv(env_path)
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class Config:
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# Models
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STT_MODEL = os.getenv("STT_MODEL", "Systran/faster-whisper-large-v3")
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LLM_MODEL = os.getenv("LLM_MODEL", "Qwen/Qwen2.5-7B-Instruct")
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TTS_MODEL = os.getenv("TTS_MODEL", "facebook/mms-tts-rus")
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# Audio settings
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SAMPLE_RATE = int(os.getenv("SAMPLE_RATE", "16000"))
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AUDIO_BUFFER_SECONDS = float(os.getenv("AUDIO_BUFFER_SECONDS", "2"))
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CHUNK_SIZE = int(os.getenv("CHUNK_SIZE", "1024"))
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# Server
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HOST = os.getenv("HOST", "0.0.0.0")
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PORT = int(os.getenv("PORT", "8000"))
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# LLM settings
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LLM_MAX_TOKENS = int(os.getenv("LLM_MAX_TOKENS", "512"))
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LLM_TEMPERATURE = float(os.getenv("LLM_TEMPERATURE", "0.7"))
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# GPU
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DEVICE = os.getenv("DEVICE", "auto")
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