Update app.py

app.py

@@ -51,7 +51,7 @@ data_path = 'signs'
 # Custom CSS to control output video size
 custom_css = """
 #landmarked_video {
-    max-height: 350px;
+    max-height: 600px;
     width: auto;
 }
 """
@@ -245,7 +245,7 @@ def prod_function(model_pretrained, prod_ds):
     return prod_pred
 
 # Function to get landmarked video
-def save_video_to_mp4(video_tensor, fps=20):
+def save_video_to_mp4(video_tensor, fps=15):
     # Convert pytorch tensor to numpy ndarray
     video_numpy = video_tensor.permute(0, 2, 3, 1).cpu().numpy()
     # Normalize values to [0, 255] if necessary