kbondelie
3d5de06b44
AI-powered web app that recommends unwatched movies from a Jellyfin library based on natural language mood input. Jellyfin auth, modular LLM backend (Claude/OpenAI/Ollama), two-tier pre-filter + AI ranking, mobile-responsive dark theme UI with poster cards and deep links. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
28 lines
811 B
Python
28 lines
811 B
Python
from pydantic_settings import BaseSettings
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class Settings(BaseSettings):
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# Jellyfin
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jellyfin_url: str = "http://192.168.5.254:8096"
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jellyfin_api_key: str = ""
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jellyfin_external_url: str = "https://jellyfin.internal.bondelie.net"
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# LLM provider
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llm_provider: str = "anthropic" # anthropic, openai, or ollama
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llm_api_key: str = ""
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llm_model: str = "" # defaults vary by provider
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llm_base_url: str = "" # override for ollama or custom endpoints
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# App settings
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db_path: str = "/data/library.db"
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sync_interval_hours: int = 24
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watch_state_sync_hours: int = 4
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max_candidates: int = 200
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max_recommendations: int = 6
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session_secret: str = "change-me-in-production"
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model_config = {"env_file": ".env", "extra": "ignore"}
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settings = Settings()
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