Update app.py

app.py

@@ -25,10 +25,10 @@ qa_model_dir = "./bert_mini_squadv2_finetuned"
 os.makedirs(qa_model_dir, exist_ok=True)
 
 qa_files = {
-    "pytorch_model.bin": "https://huggingface.co/spaces/medassistant/doctor-twin/resolve/main/pytorch_model.bin",
-    "config.json": "https://huggingface.co/spaces/medassistant/doctor-twin/resolve/main/config.json",
-    "tokenizer_config.json": "https://huggingface.co/spaces/medassistant/doctor-twin/resolve/main/tokenizer_config.json",
-    "vocab.txt": "https://huggingface.co/spaces/medassistant/doctor-twin/resolve/main/vocab.txt",
+    "pytorch_model.bin": "https://huggingface.co/spaces/isana25/DoctorTwin/resolve/main/pytorch_model.bin",
+    "config.json": "https://huggingface.co/spaces/isana25/DoctorTwin/resolve/main/config.json",
+    "tokenizer_config.json": "https://huggingface.co/spaces/isana25/DoctorTwin/resolve/main/tokenizer_config.json",
+    "vocab.txt": "https://huggingface.co/spaces/isana25/DoctorTwin/resolve/main/vocab.txt",
 }
 
 for fname, furl in qa_files.items():
@@ -39,7 +39,7 @@ model_qa = AutoModelForQuestionAnswering.from_pretrained(qa_model_dir)
 
 # ----------- Setup for Diabetes XGBoost Model (Risk Prediction) ------------
 
-diabetes_pkl_url = "https://huggingface.co/spaces/medassistant/doctor-twin/resolve/main/diabetes_xgboost_model.pkl"
+diabetes_pkl_url = "https://huggingface.co/spaces/isana25/DoctorTwin/resolve/main/diabetes_xgboost_model.pkl"
 diabetes_pkl_path = "./diabetes_xgboost_model.pkl"
 download_file(diabetes_pkl_url, diabetes_pkl_path)
 diabetes_model = joblib.load(diabetes_pkl_path)