fix sentiment model loader class

app.py

@@ -12,7 +12,7 @@ from pydantic import BaseModel
 from PIL import Image
 import torch
 import torch.nn.functional as F
-from transformers import DistilBertTokenizer, DistilBertForSequenceClassification
+from transformers import BertTokenizer, BertForSequenceClassification
 import tensorflow as tf
 import numpy as np
 from huggingface_hub import hf_hub_download
@@ -31,11 +31,10 @@ except (RuntimeError, ValueError) as e:
 
 # --- Model Loading ---
 def load_models():
-    """Load all models from Hugging Face Hub at startup."""
     logging.info("Loading all models from the Hub...")
     try:
-        tokenizer = DistilBertTokenizer.from_pretrained("muhalwan/sental")
-        sentiment_model = DistilBertForSequenceClassification.from_pretrained("muhalwan/sental")
+        tokenizer = BertTokenizer.from_pretrained("muhalwan/sental")
+        sentiment_model = BertForSequenceClassification.from_pretrained("muhalwan/sental")
         sentiment_model.to(device)
         logging.info("Sentiment analysis model loaded successfully.")
     except Exception as e: