Merge branch 'main' of hf.co:spaces/frances-dean/CardioPINN

Merge

filenames <- str_replace(list.files("/Users/FDean/Desktop/Physics_Informed_Transfer_Learning/CardioPINN/EchoNet-Dynamic/Videos", full.names=FALSE),
'.mp4', '.avi')filenames <- str_replace(list.files("/Users/FDean/Desktop/Physics_Informed_Transfer_Learning/CardioPINN/EchoNet-Dynamic/Videos", full.names=FALSE),
filenames <- str_replace(list.files("/Users/FDean/Desktop/Physics_Informed_Transfer_Learning/CardioPINN/EchoNet-Dynamic/Videos", full.names=FALSE),
'.mp4', '.avi')ZLines starting with '#' will be ignored, and an empty message aborts

app.py

@@ -454,8 +454,8 @@ def pvloop_simulator(Rm, Ra, Emax, Emin, Vd, Tc, start_v):
     
     # Create the figure and the loop that we will manipulate
     fig, ax = plt.subplots()
-    plt.ylim((0,280))
-    plt.xlim((0,280))
+    plt.ylim((0,180))
+    plt.xlim((0,160))
     line = ax.plot(volumes[(N-2)*60000:(N)*60000], pressures[(N-2)*60000:(N)*60000], lw=1)
     #print(line)
     line = line[0]
@@ -492,7 +492,7 @@ def generate_example():
         results = model(val_tensor)
 
         plot, Rm, Ra, Emax, Emin, Vd,Tc, start_v = pvloop_simulator(Rm=round(results[0][4].item(),2), Ra=round(results[0][5].item(),2), Emax=results[0][2].item(), Emin=round(results[0][3].item(),2), Vd=round(results[0][6].item(),2), Tc=round(results[0][0].item(),2), start_v=round(results[0][1].item(),2))
-    
+        video = video.replace("avi", "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"
@@ -518,7 +518,7 @@ with gr.Blocks() as demo:
             
             generate_button = gr.Button("Load sample echocardiogram and generate result")
             with gr.Row():
-                video = gr.PlayableVideo(format="avi")
+                video = gr.PlayableVideo() #format="avi"
                 plot = gr.Plot()
             
             with gr.Row():