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BDS LLM Chat - Hugging Face API Wrapper
A Flask-based chat application that serves as a wrapper for the LLaMA 3.2 model from Hugging Face. This application provides a user-friendly web interface and API for interacting with the model.
Features Modern responsive UI with dark/light mode support Persistent chat history in browser localStorage Markdown rendering for model responses REST API compatible with OpenAI-style endpoints Centralized model worker for efficient inference Redis-backed queue for robust request handling Queue-based architecture for handling multiple requests Admin dashboard for user and API key management External API access with API key authentication MongoDB-based persistence for chats, users, and API keysUpdated -
Terminal embedding client for Hugging Face's hosted embedding models written in Go
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Euclidean Distance or Cosine Similarity using CSV files as vectors embedding DBs - written in Go
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