Update src/streamlit_app.py

src/streamlit_app.py

@@ -27,7 +27,7 @@ def load_prediction_model():
         label_encoder = pickle.load(f)
     id_to_class = {idx: class_name for idx, class_name in enumerate(label_encoder.classes_)}
 
-    model = BertForSequenceClassification.from_pretrained('Divyanshu04/Issue_categorizer', num_labels=len(label_encoder.classes_))
+    model = BertForSequenceClassification.from_pretrained('https://huggingface.co/Divyanshu04/Issue_categorizer', num_labels=len(label_encoder.classes_))
     # 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
@@ -58,7 +58,7 @@ def predict(text):
 
 @st.cache_resource
 def load_followup_model():
-    model_path = "Divyanshu04/Insurance_claim_followup_model"  # Adjust path as needed
+    model_path = "https://huggingface.co/Divyanshu04/Insurance_claim_followup_model"  # Adjust path as needed
     tokenizer = AutoTokenizer.from_pretrained(model_path)
     model = AutoModelForSeq2SeqLM.from_pretrained(model_path)
     model.eval()