| import os | |
| # Environment-based secrets (for Hugging Face Spaces, set these in "Secrets") | |
| OPENAI_API_KEY = os.getenv("OPENAI_API_KEY", "") | |
| GEMINI_API_KEY = os.getenv("GEMINI_API_KEY", "") | |
| MY_PUBMED_EMAIL = os.getenv("MY_PUBMED_EMAIL", "[email protected]") | |
| # Default LLM models for text | |
| OPENAI_DEFAULT_MODEL = "gpt-4o-mini" # or "gpt-4" if you have access | |
| GEMINI_DEFAULT_MODEL = "models/chat-bison-001" | |
| # Default Summarization chunk size | |
| DEFAULT_CHUNK_SIZE = 512 | |
| # A stable image captioning model recognized by the HF "image-to-text" pipeline | |
| # Example: "nlpconnect/vit-gpt2-image-captioning" or "Salesforce/blip-image-captioning-base" | |
| IMAGE_MODEL_NAME = "Salesforce/blip-image-captioning-base" | |