questro-model-api / README.md
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Deploy model API as Docker Space (artifacts pulled from CL-EPIDTN at build)
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metadata
title: Questro Recommender Model API
emoji: 🎬
colorFrom: indigo
colorTo: purple
sdk: docker
app_port: 7749
pinned: false

Questro Recommender Model API (CL-EPIDTN, improved_8)

FastAPI service that scores and re-ranks movie/game candidates for the Questro RAG pipeline. It exposes /recommend, /recommend/rerank, /catalog/add, /genres, and /health on port 7749.

The full catalog (189,753 items) is baked into the artifacts, so the model never hot-adds items at runtime. The ~1.2 GB artifacts are not stored in this Space — the Dockerfile downloads them from the public model repo zeyadgamal00/CL-EPIDTN at build time (MODEL_REPO env). See RECOMMENDER_API_IMPROVED8_DOCS.md for the API reference.