Update app.py

app.py

@@ -13,29 +13,29 @@ from gradio_imageslider import ImageSlider
 
 import spaces
 
- REPO_URL = "https://github.com/lemonaddie/geowizard.git"
-    CHECKPOINT = "lemonaddie/Geowizard"
-    REPO_DIR = "geowizard"
+REPO_URL = "https://github.com/lemonaddie/geowizard.git"
+CHECKPOINT = "lemonaddie/Geowizard"
+REPO_DIR = "geowizard"
     
-    if os.path.isdir(REPO_DIR):
-        shutil.rmtree(REPO_DIR)
+if os.path.isdir(REPO_DIR):
+    shutil.rmtree(REPO_DIR)
     
-    repo = git.Repo.clone_from(REPO_URL, REPO_DIR)
-    sys.path.append(os.path.join(os.getcwd(), REPO_DIR))
+repo = git.Repo.clone_from(REPO_URL, REPO_DIR)
+sys.path.append(os.path.join(os.getcwd(), REPO_DIR))
 
-    from pipeline.depth_normal_pipeline_clip_cfg import DepthNormalEstimationPipeline
+from pipeline.depth_normal_pipeline_clip_cfg import DepthNormalEstimationPipeline
 
-    device = torch.device("cuda" if torch.cuda.is_available() else "cpu")  
-    pipe = DepthNormalEstimationPipeline.from_pretrained(CHECKPOINT)
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")  
+pipe = DepthNormalEstimationPipeline.from_pretrained(CHECKPOINT)
     
-    try:
-        import xformers
-        pipe.enable_xformers_memory_efficient_attention()
-    except:
-        pass  # run without xformers
-
-    pipe = pipe.to(device)
-    #run_demo_server(pipe)
+try:
+    import xformers
+    pipe.enable_xformers_memory_efficient_attention()
+except:
+    pass  # run without xformers
+
+pipe = pipe.to(device)
+#run_demo_server(pipe)
 
 @spaces.GPU
 def depth_normal(img):