update app.py

app.py

@@ -87,8 +87,8 @@ examples = [["TCGA_CS_5395_19981004_12.png"],
             ["TCGA_CS_5395_19981004_14.png"],
             ["TCGA_DU_5849_19950405_24.png"]]
 
-title = None #"Left Ventricle Segmentation"
-description = "This semantic segmentation model identifies the left ventricle in echocardiogram images."
+title = "Sistem Segmentasi Citra MRI Otak berbasis Artificial Intelligence"
+description = "This system is designed to help automate the process of accurately and efficiently segmenting brain MRIs into regions of interest. It does this by using a UBNet-Seg Architecture that has been trained on a large dataset of manually annotated brain images."
 # videos. Accurate evaluation of the motion and size of the left ventricle is crucial for the assessment of cardiac function and ejection fraction. In this interface, the user inputs apical-4-chamber images from echocardiography videos and the model will output a prediction of the localization of the left ventricle in blue. This model was trained on the publicly released EchoNet-Dynamic dataset of 10k echocardiogram videos with 20k expert annotations of the left ventricle and published as part of ‘Video-based AI for beat-to-beat assessment of cardiac function’ by Ouyang et al. in Nature, 2020."
 
 #thumbnail = "https://raw.githubusercontent.com/gradio-app/hub-echonet/master/thumbnail.png"