Update app.py

app.py

@@ -21,20 +21,32 @@ from datasets import load_dataset
 
 #Read data training data.
 
-x1 = pd.read_csv("36m_data_train.csv", index_col = 0, low_memory = False)
+x1 = load_dataset("mertkarabacak/NCDB-Chordoma", data_files="36m_data_train.csv", use_auth_token = HF_TOKEN)
+x1 = pd.DataFrame(x1['train'])
+x1 = x1.iloc[:, 1:]
 
-x2 = pd.read_csv("60m_data_train.csv", index_col = 0, low_memory = False)
+x2 = load_dataset("mertkarabacak/NCDB-Chordoma", data_files="60m_data_train.csv", use_auth_token = HF_TOKEN)
+x2 = pd.DataFrame(x2['train'])
+x2 = x2.iloc[:, 1:]
 
-x3 = pd.read_csv("120m_data_train.csv", index_col = 0, low_memory = False)
+x3 = load_dataset("mertkarabacak/NCDB-Chordoma", data_files="120m_data_train.csv", use_auth_token = HF_TOKEN)
+x3 = pd.DataFrame(x3['train'])
+x3 = x3.iloc[:, 1:]
 
 
 #Read validation data.
 
-x1_valid = pd.read_csv("36m_data_valid.csv", index_col = 0, low_memory = False)
+x1_valid = load_dataset("mertkarabacak/NCDB-Chordoma", data_files="36m_data_valid.csv", use_auth_token = HF_TOKEN)
+x1_valid = pd.DataFrame(x1_valid['train'])
+x1_valid = x1_valid.iloc[:, 1:]
 
-x2_valid = pd.read_csv("60m_data_valid.csv", index_col = 0, low_memory = False)
+x2_valid = load_dataset("mertkarabacak/NCDB-Chordoma", data_files="60m_data_valid.csv", use_auth_token = HF_TOKEN)
+x2_valid = pd.DataFrame(x2_valid['train'])
+x2_valid = x2_valid.iloc[:, 1:]
 
-x3_valid = pd.read_csv("120m_data_valid.csv", index_col = 0, low_memory = False)
+x3_valid = load_dataset("mertkarabacak/NCDB-Chordoma", data_files="120m_data_valid.csv", use_auth_token = HF_TOKEN)
+x3_valid = pd.DataFrame(x3_valid['train'])
+x3_valid = x3_valid.iloc[:, 1:]
 
 
 #Define feature names.
@@ -241,9 +253,14 @@ with gr.Blocks(title = "NCDB-Chordoma") as demo:
     gr.Markdown(
         """
     <br/>
-    <center><h1>Spinal Chordoma</h1></center>
-    <center><h2>Survival Outcomes Prediction Tool</h2></center>
-    <center><i>The publication describing the details of this predictive tool will be posted here upon the acceptance of publication.</i><center>
+    <center><h2>NOT FOR CLINICAL USE</h2><center>    
+    <br/>    
+    <center><h1>Spinal Chordoma Survival Outcomes</h1></center>
+    <center><h2>Prediction Tool</h2></center>
+    <br/>
+    <center><h3>This web application should not be used to guide any clinical decisions.</h3><center>
+    <br/>
+    <center><i>The publication describing the details of this prediction tool will be posted here upon the acceptance of publication.</i><center>
         """
     )