Updated to handle HF secrets

config.py

@@ -1,21 +1,21 @@
 # config.py
-# This file will store configuration variables, including API keys and prompt constants.
-
 import os
-from dotenv import load_dotenv
 
-# Load environment variables from .env file
-load_dotenv()
+# Try to load local .env file if it exists (for local development)
+try:
+    from dotenv import load_dotenv
+    load_dotenv()
+except ImportError:
+    # python-dotenv not installed, which is fine on HF Spaces 
+    # as secrets are handled by the OS environment
+    pass
 
-# HuggingFace API token (loaded from .env file)
+# API Keys (loaded from Secrets on HF Spaces or .env locally)
 HF_TOKEN = os.getenv("HF_TOKEN")
-
-# TMDB API Key (loaded from .env file)
 TMDB_API_KEY = os.getenv("TMDB_API_KEY")
 
 # LLM Model Name (as specified on Hugging Face)
 LLM_MODEL_NAME = "huggingface/meta-llama/Llama-3.2-3B-Instruct"
-#LLM_MODEL_NAME = "ollama/llama3.2"
 
 # Base prompt for LLM explanations
 BASE_PROMPT = """
@@ -25,4 +25,4 @@ Max 60 words. Be punchy. Do not start with 'Based on your history'.
 
 # Injections for narrative styles
 LOGIC_INJECTION = "Focus on technical alignment and genre overlap."
-SOCIAL_INJECTION = "Focus on community acclaim and fan-favorite status."
+SOCIAL_INJECTION = "Focus on community acclaim and fan-favorite status."