Change default tab

app.py

@@ -34,7 +34,7 @@ from monai.transforms import Compose, ScaleIntensityd, SpatialPadd
 from tqdm import tqdm
 
 # cache directories
-cache_dir = Path("/tmp/.cinema")
+cache_dir = Path(__file__).parent
 cache_dir.mkdir(parents=True, exist_ok=True)
 
 
@@ -282,7 +282,7 @@ def segmentation_sax_inference(
     view: str,
     transform: Compose,
     model: ConvUNetR,
-    progress=gr.Progress(),
+    progress: gr.Progress,
 ) -> np.ndarray:
     model.to(device)
     n_slices, n_frames = images.shape[-2:]
@@ -457,7 +457,7 @@ def segmentation_lax_inference(
     view: str,
     transform: Compose,
     model: ConvUNetR,
-    progress=gr.Progress(),
+    progress: gr.Progress,
 ) -> np.ndarray:
     model.to(device)
     n_frames = images.shape[-1]
@@ -604,7 +604,7 @@ def landmark_heatmap_inference(
     view: str,
     transform: Compose,
     model: ConvUNetR,
-    progress=gr.Progress(),
+    progress: gr.Progress,
 ) -> tuple[np.ndarray, np.ndarray]:
     model.to(device)
 
@@ -638,7 +638,7 @@ def landmark_coordinate_inference(
     view: str,
     transform: Compose,
     model: ConvViT,
-    progress=gr.Progress(),
+    progress: gr.Progress,
 ) -> np.ndarray:
     model.to(device)
 
@@ -822,7 +822,7 @@ with gr.Blocks(
         """
     )
 
-    with gr.Tabs(selected="lax_seg") as tabs:
+    with gr.Tabs(selected="sax_seg") as tabs:
         with gr.TabItem("🖼️ Cine CMR Views", id="cmr"):
             cmr_tab()
         with gr.TabItem("🧩 Masked Autoencoder", id="mae"):