animation argument and title

.ipynb_checkpoints/app-checkpoint.py

@@ -427,7 +427,7 @@ def solve_ODE_for_volume(Rm, Ra, Emax, Emin, Vd, Tc, start_v, t):
     
     return volumes
 
-def pvloop_simulator(Rm, Ra, Emax, Emin, Vd, Tc, start_v, animation):
+def pvloop_simulator(Rm, Ra, Emax, Emin, Vd, Tc, start_v, animation=True):
     
 
     # Define initial parameters
@@ -517,7 +517,7 @@ def generate_example():
         # animated = "prediction.mp4"
         return video, plot, Rm, Ra, Emax, Emin, Vd, Tc, start_v
 
-title = "Physics-informed self-supervised learning for predicting cardiac digital twins with echocardiography"
+title = "Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning"
 
 description = """
 <p style='text-align: center'> Keying Kuang, Frances Dean, Jack B. Jedlicki, David Ouyang, Anthony Philippakis, David Sontag, Ahmed Alaa <br></p>

app.py

@@ -427,7 +427,7 @@ def solve_ODE_for_volume(Rm, Ra, Emax, Emin, Vd, Tc, start_v, t):
     
     return volumes
 
-def pvloop_simulator(Rm, Ra, Emax, Emin, Vd, Tc, start_v, animation):
+def pvloop_simulator(Rm, Ra, Emax, Emin, Vd, Tc, start_v, animation=True):
     
 
     # Define initial parameters
@@ -517,7 +517,7 @@ def generate_example():
         # animated = "prediction.mp4"
         return video, plot, Rm, Ra, Emax, Emin, Vd, Tc, start_v
 
-title = "Physics-informed self-supervised learning for predicting cardiac digital twins with echocardiography"
+title = "Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning"
 
 description = """
 <p style='text-align: center'> Keying Kuang, Frances Dean, Jack B. Jedlicki, David Ouyang, Anthony Philippakis, David Sontag, Ahmed Alaa <br></p>