Update evaluate.py

evaluate.py

@@ -11,8 +11,8 @@ def get_classification_report():
         true_labels = df["label"].tolist()
 
         # Load tokenizer and model
-        tokenizer = AutoTokenizer.from_pretrained("Shrish/mbert-sentiment")
-        model = TFAutoModelForSequenceClassification.from_pretrained("Shrish/mbert-sentiment")
+        tokenizer = AutoTokenizer.from_pretrained("shrish191/sentiment-bert")
+        model = TFAutoModelForSequenceClassification.from_pretrained("shrish191/sentiment-bert")
 
         # Tokenize
         inputs = tokenizer(texts, padding=True, truncation=True, return_tensors="tf")