optimize run

app.py

@@ -148,6 +148,10 @@ def quick_run(*args, **kwargs):
 def long_run(*args, **kwargs):
     return ncut_run(*args, **kwargs)
 
+@spaces.GPU(duration=60)
+def longer_run(*args, **kwargs):
+    return ncut_run(*args, **kwargs)
+
 @spaces.GPU(duration=120)
 def super_duper_long_run(*args, **kwargs):
     return ncut_run(*args, **kwargs)
@@ -193,11 +197,14 @@ def run_fn(
     if num_images > 20:
         return long_run(images, **kwargs)
     if embedding_method == "UMAP":
+        if perplexity >= 250 or num_sample_tsne >= 500:
+            return longer_run(images, **kwargs)
         return long_run(images, **kwargs)
-    if perplexity >= 250:
-        return long_run(images, **kwargs)
-    if num_sample_tsne >= 500:
-        return long_run(images, **kwargs)
+    if embedding_method == "t-SNE":
+        if perplexity >= 250 or num_sample_tsne >= 500:
+            return long_run(images, **kwargs)
+        return quick_run(images, **kwargs)
+    
     return quick_run(images, **kwargs)
     
 with gr.Blocks() as demo:
@@ -233,7 +240,7 @@ with gr.Blocks() as demo:
                 min_dist_slider = gr.Slider(0.1, 1, step=0.1, label="min_dist (UMAP)", value=0.1, elem_id="min_dist")
 
             # logging text box
-            logging_text = gr.Textbox("logging output", label="Logging", elem_id="logging", type="text", placeholder="Logging information", default="")
+            logging_text = gr.Textbox("Logging information", label="Logging", elem_id="logging", type="text", placeholder="Logging information")
             
     def load_default_images():
         return default_images, default_outputs, []