Apppublic

kernelmind/Resume-Screener-API

sourceHugging Faceupdated 6mo agoView on Hugging Face

0likes

root.env.example

.env.example18 linesDownload Raw Back to root

1# Resume Screener Configuration2# Copy to .env and fill in your values3 4# Gemini API Key - Get from https://aistudio.google.com/app/apikey5GEMINI_API_KEY=your_api_key_here6 7# ChromaDB persistence directory (relative to project root)8CHROMA_PERSIST_DIR=./chroma_db9 10# Rate limiting - requests per minute per IP11RATE_LIMIT_PER_MINUTE=1012 13# Embedding model - MiniLM is good balance of speed/quality for laptops14EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v215 16# Log level (DEBUG, INFO, WARNING, ERROR)17LOG_LEVEL=INFO18