update gradio

README.md

@@ -11,7 +11,7 @@ emoji: 📚
 colorFrom: red
 colorTo: green
 sdk: gradio
-sdk_version: 4.14.0
+sdk_version: 4.41.0
 app_file: app.py
 pinned: false
 models:

estimator/models/patchfusion.py

@@ -61,21 +61,17 @@ class PatchFusion(BaselinePretrain, PyTorchModelHubMixin):
         """
         nn.Module.__init__(self)
         
-        print(config)
         if isinstance(config, ConfigDict):
             # convert a ConfigDict to a PretrainedConfig for hf saving
             config = PretrainedConfig.from_dict(config.to_dict())
             config.load_branch = True
-            print("test1")
         else:
             # used when loading patchfusion from hf model space
             config = PretrainedConfig.from_dict(ConfigDict(**config).to_dict())
             config.load_branch = False
             config.coarse_branch.pretrained_resource = None
             config.fine_branch.pretrained_resource = None
-            print("test2")
         
-        print(config.coarse_branch) 
         self.config = config
         
         self.min_depth = config.min_depth

requirements.txt

@@ -1,6 +1,6 @@
 trimesh==3.9.42
 gradio_imageslider
-gradio==4.14.0
+gradio==4.41.0
 torch
 torchvision
 opencv-python

ui_requirements.txt

@@ -1,3 +1,3 @@
-gradio==4.14.0
+gradio==4.41.0
 gradio_imageslider
 trimesh==3.9.42