Update app.py

app.py

@@ -66,16 +66,16 @@ def load_models():
             # Use pipeline if available
             models['evaluator'] = pipeline(
                 "sentiment-analysis", 
-                model="cardiffnlp/twitter-roberta-base-sentiment-latest"
+                model="CR7CAD/RobertaFinetuned"
             )
         else:
             # Fall back to basic model loading using the updated evaluation model
             try:
                 models['evaluator_model'] = AutoModelForSequenceClassification.from_pretrained(
-                    "cardiffnlp/twitter-roberta-base-sentiment-latest"
+                    "CR7CAD/RobertaFinetuned"
                 )
                 models['evaluator_tokenizer'] = AutoTokenizer.from_pretrained(
-                    "cardiffnlp/twitter-roberta-base-sentiment-latest"
+                    "CR7CAD/RobertaFinetuned"
                 )
             except Exception as e:
                 st.error(f"Error loading sentiment model: {e}")