Update app.py

app.py

@@ -84,7 +84,7 @@ o = gr.outputs.Image()
 
 examples = [["img1.jpg"], ["img2.jpg"]]
 title = "Example: Echocardiogram Segmentation" #"Left Ventricle Segmentation"
-description = "This semantic segmentation model identifies the left ventricle in echocardiogram images."
+description = "This semantic segmentation model identifies the left ventricle in echocardiogram images. Read more at the links below."
 # 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"