Update config.py

config.py

@@ -1,17 +1,18 @@
 import os
 
-# Environment-based secrets (for Hugging Face Spaces, set these in "Secrets")
+# Environment-based 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]")
+PUBMED_EMAIL = os.getenv("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"
+# OpenAI model
+OPENAI_DEFAULT_MODEL = "gpt-4o-mini"
 
-# Default Summarization chunk size
+# Hugging Face model for medical image recognition
+HF_IMAGE_MODEL = "HuggingFaceTB/SmolVLM-500M-Instruct"
+
+# 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"
+# PubMed query limits
+PUBMED_MAX_RESULTS = 5
+