42 lines
1.2 KiB
Python
42 lines
1.2 KiB
Python
from pydantic_settings import BaseSettings
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class Settings(BaseSettings):
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# Database
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database_url: str = "postgresql+asyncpg://clipforge:changeme_clipforge_2025@postgres:5432/clipforge"
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# Redis
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redis_url: str = "redis://redis:6379/0"
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# Whisper
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whisper_api_url: str = "https://whisper.jeffemmett.com"
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whisper_model: str = "deepdml/faster-whisper-large-v3-turbo-ct2"
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# AI Analysis - supports "ollama" or "openai" (OpenAI-compatible API)
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ai_provider: str = "ollama" # "ollama" or "openai"
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ollama_url: str = "http://host.docker.internal:11434"
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ollama_model: str = "llama3.1:8b"
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openai_api_url: str = "" # e.g. https://api.runpod.ai/v2/{endpoint_id}/openai/v1
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openai_api_key: str = ""
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openai_model: str = "" # e.g. meta-llama/Llama-3.1-8B-Instruct
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# Storage
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media_dir: str = "/data/media"
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clips_dir: str = "/data/clips"
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renders_dir: str = "/data/renders"
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# yt-dlp
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ytdlp_cookies_file: str = ""
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max_video_duration: int = 7200
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# Processing
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max_concurrent_jobs: int = 2
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clip_min_duration: int = 15
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clip_max_duration: int = 90
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target_clips: int = 5
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model_config = {"env_file": ".env", "extra": "ignore"}
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settings = Settings()
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