Update app.py

app.py

@@ -7,7 +7,7 @@ from PIL import Image
 
 # Load models only once for speed
 emotion_model = pipeline("text-classification", model="bhadresh-savani/distilbert-base-uncased-emotion", device=0 if torch.cuda.is_available() else -1)
-gut_health_model = pipeline("text-classification", model="mrm8488/bert-mini-finetuned-age-prediction", device=0 if torch.cuda.is_available() else -1)
+gut_health_model = pipeline("text-classification", model="nlptown/bert-base-multilingual-uncased-sentiment", device=0 if torch.cuda.is_available() else -1)
 retina_model = torch.hub.load("pytorch/vision:v0.10.0", "resnet18", pretrained=True)
 retina_model.eval()