Update src/streamlit_app.py

src/streamlit_app.py

@@ -23,11 +23,11 @@ if sys.platform == "win32":
 @st.cache_resource
 def load_prediction_model():
     tokenizer = BertTokenizer.from_pretrained('https://huggingface.co/bert-base-uncased')
-    with open('src/label_encoder.pkl', 'rb') as f:
+    with open('label_encoder.pkl', 'rb') as f:
         label_encoder = pickle.load(f)
     id_to_class = {idx: class_name for idx, class_name in enumerate(label_encoder.classes_)}
 
-    model = AutoModelForSequenceClassification.from_pretrained("Divyanshu04/Issue_categorizer")
+    model = BertForSequenceClassification.from_pretrained('Divyanshu04/Issue_categorizer')
     # model.load_state_dict(torch.load('Divyanshu04/Issue_categorizer', map_location=torch.device('cpu'))['model_state_dict'])
     model.eval()
     return tokenizer, model, id_to_class