attempt to fix crashing of the demo build

app.py

@@ -60,17 +60,14 @@ def process_with_loaded_pipeline(
 ):
     # Load and cache the pipeline based on the model type.
     if model_type not in loaded_pipelines.keys():
-        auth_token = os.environ.get("KEV_TOKEN")
         if model_type == "appearance":
             if "lighting" in loaded_pipelines.keys():
                 del loaded_pipelines[
                     "lighting"
                 ]  # to save GPU memory. Can be removed if enough memory is available for faster switching between models
                 torch.cuda.empty_cache()
-            loaded_pipelines[model_type] = (
-                MarigoldIIDAppearancePipeline.from_pretrained(
-                    "prs-eth/marigold-iid-appearance-v1-1", token=auth_token
-                )
+            loaded_pipelines[model_type] = MarigoldIIDAppearancePipeline.from_pretrained(
+                "prs-eth/marigold-iid-appearance-v1-1"
             )
         elif model_type == "lighting":
             if "appearance" in loaded_pipelines.keys():
@@ -79,7 +76,7 @@ def process_with_loaded_pipeline(
                 ]  # to save GPU memory. Can be removed if enough memory is available for faster switching between models
                 torch.cuda.empty_cache()
             loaded_pipelines[model_type] = MarigoldIIDLightingPipeline.from_pretrained(
-                "prs-eth/marigold-iid-lighting-v1-1", token=auth_token
+                "prs-eth/marigold-iid-lighting-v1-1"
             )
 
         # Move the pipeline to GPU if available
@@ -483,7 +480,6 @@ def run_demo_server():
         ).launch(
             server_name="0.0.0.0",
             server_port=7860,
-            ssr=False,
         )