Upload app.py

app.py

@@ -768,7 +768,7 @@ with gr.Blocks(title = "NTDB-Epidural") as demo:
     <br/>
     <center><h1>Epidural Hematoma Outcomes</h1></center>
     <center><h2>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><i>The publication describing the details of this predictive tool will be posted here upon the acceptance of publication.</i><center>
     <center><h3>Disclaimer</h3>
     <center> 
     The American College of Surgeons National Trauma Data Bank (ACS-NTDB) and the hospitals participating in the ACS-NTDB are the source of the data used herein; they have not been verified and are not responsible for the statistical validity of the data analysis or the conclusions derived by the authors. The predictive tool located on this web page is for general health information only. This prediction tool should not be used in place of professional medical service for any disease or concern. Users of the prediction tool shouldn't base their decisions about their own health issues on the information presented here. You should ask any questions to your own doctor or another healthcare professional. The authors of the study mentioned above make no guarantees or representations, either express or implied, as to the completeness, timeliness, comparative or contentious nature, or utility of any information contained in or referred to in this prediction tool. The risk associated with using this prediction tool or the information in this predictive tool is not at all assumed by the authors. The information contained in the prediction tools may be outdated, not complete, or incorrect because health-related information is subject to frequent change and multiple confounders. No express or implied doctor-patient relationship is established by using the prediction tool. The prediction tools on this website are not validated by the authors. Users of the tool are not contacted by the authors, who also do not record any specific information about them. You are hereby advised to seek the advice of a doctor or other qualified healthcare provider before making any decisions, acting, or refraining from acting in response to any healthcare problem or issue you may be experiencing at any time, now or in the future. By using the prediction tool, you acknowledge and agree that neither the authors nor any other party are or will be liable or otherwise responsible for any decisions you make, actions you take, or actions you choose not to take as a result of using any information presented here.
@@ -956,7 +956,6 @@ with gr.Blocks(title = "NTDB-Epidural") as demo:
                 
                 gr.Markdown(
                     """
-                    <br/>
                     <center> <h2>Mortality</h2> </center>
                     <center> This model uses the LightGBM algorithm. </center>
                     <br/>
@@ -1000,7 +999,6 @@ with gr.Blocks(title = "NTDB-Epidural") as demo:
             with gr.Box():
                 gr.Markdown(
                     """
-                    <br/>
                     <center> <h2>Discharge Disposition</h2> </center>
                     <center> This model uses the Random Forest algorithm. </center>
                     <br/>
@@ -1045,7 +1043,6 @@ with gr.Blocks(title = "NTDB-Epidural") as demo:
                 
                 gr.Markdown(
                     """
-                    <br/>
                     <center> <h2>Prolonged Length of Stay</h2> </center>
                     <center> This model uses the CatBoost algorithm. </center>
                     <br/>
@@ -1089,7 +1086,6 @@ with gr.Blocks(title = "NTDB-Epidural") as demo:
             with gr.Box():
                 gr.Markdown(
                     """
-                    <br/>
                     <center> <h2>Prolonged Length of ICU Stay</h2> </center>
                     <center> This model uses the XGBoost algorithm. </center>
                     <br/>
@@ -1132,7 +1128,6 @@ with gr.Blocks(title = "NTDB-Epidural") as demo:
             with gr.Box():
                 gr.Markdown(
                     """
-                    <br/>
                     <center> <h2>Major Complications</h2> </center>
                     <center> This model uses the XGBoost algorithm. </center>
                     <br/>