api keys

app.py

@@ -54,7 +54,7 @@ MAX_IMAGE_SIZE = 512
 ALLOWED_TYPES = ["image/jpeg", "image/jpg", "image/png", "image/webp"]
 
 # OpenAI Configuration (will be initialized after logger is set up)
-OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY", "")
+OPENAI_API_KEY = "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"
 openai_client = None  # Will be initialized in lifespan startup
 
 # ==================== MULTI-MODEL FOOD RECOGNITION ====================
@@ -361,11 +361,11 @@ COMPREHENSIVE_FOOD_CATEGORIES = {
 
 # USDA FoodData Central API (Free, comprehensive US database)
 USDA_API_BASE = "https://api.nal.usda.gov/fdc/v1"
-USDA_API_KEY = os.environ.get("USDA_API_KEY", "DEMO_KEY")
+USDA_API_KEY = "kgw5ZaUGy92zoFoCzAo1pGq688u0jYXEA17ZlzO9"
 
 # Edamam Nutrition Analysis API (Free tier: 1000 requests/month)
-EDAMAM_APP_ID = os.environ.get("EDAMAM_APP_ID", "")
-EDAMAM_APP_KEY = os.environ.get("EDAMAM_APP_KEY", "")
+EDAMAM_APP_ID = "00eb0dd2"
+EDAMAM_APP_KEY = "4cf8f62443bc6bc6b3091b276fb302a1"
 EDAMAM_API_BASE = "https://api.edamam.com/api/nutrition-data"
 
 # Spoonacular Food API (Free tier: 150 requests/day)