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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"
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