Initial commit — Movie Night media discovery app

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>

app/models.py

@@ -0,0 +1,51 @@
+from pydantic import BaseModel
+
+
+class Movie(BaseModel):
+    jellyfin_id: str
+    title: str
+    sort_title: str | None = None
+    year: int | None = None
+    genres: list[str] = []
+    overview: str | None = None
+    community_rating: float | None = None
+    critic_rating: float | None = None
+    runtime_minutes: int | None = None
+    content_rating: str | None = None
+    studios: list[str] = []
+    people: list[dict] = []
+    tags: list[str] = []
+
+
+class MoodRequest(BaseModel):
+    mood: str
+    additional_user_ids: list[str] = []
+
+
+class Recommendation(BaseModel):
+    jellyfin_id: str
+    title: str
+    year: int | None = None
+    genres: list[str] = []
+    community_rating: float | None = None
+    runtime_minutes: int | None = None
+    content_rating: str | None = None
+    poster_url: str
+    deep_link: str
+    reasoning: str
+    match_score: float
+
+
+class MoodResponse(BaseModel):
+    recommendations: list[Recommendation]
+    meta: dict
+
+
+class LoginRequest(BaseModel):
+    username: str
+    password: str
+
+
+class UserInfo(BaseModel):
+    id: str
+    name: str