Update ui_utils.py

ui_utils.py

@@ -12,7 +12,7 @@ def gradio_inputs_for_MD_DLC(md_models_list, # list(MD_models_dict.keys())
     gr_mega_model_input = gr.inputs.Dropdown(choices=md_models_list,
                                             default='md_v5a', # default option
                                             type='value', # Type of value to be returned by component. "value" returns the string of the choice selected, "index" returns the index of the choice selected.
-                                            label='Select MegaDetector model')
+                                            label='Select Detector model')
     gr_dlc_model_input = gr.inputs.Dropdown(choices=dlc_models_list, # choices
                                             default='superanimal_quadruped', # default option
                                             type='value', # Type of value to be returned by component. "value" returns the string of the choice selected, "index" returns the index of the choice selected.
@@ -26,11 +26,11 @@ def gradio_inputs_for_MD_DLC(md_models_list, # list(MD_models_dict.keys())
 
     gr_slider_conf_bboxes = gr.inputs.Slider(0,1,.02,0.8,
                                             label='Set confidence threshold for animal detections')
-    gr_slider_conf_keypoints = gr.inputs.Slider(0,1,.05,0,
+    gr_slider_conf_keypoints = gr.inputs.Slider(0,1,.05,0.4,
                                                 label='Set confidence threshold for keypoints')
 
     # Data viz                                            
-    gr_keypt_color = gr.ColorPicker(value ="#ff0000", label="choose color for keypoint label") 
+    gr_keypt_color = gr.ColorPicker(value ="#862db7", label="choose color for keypoint label") 
 
     gr_labels_font_style = gr.inputs.Dropdown(choices=['amiko', 'animals', 'nature', 'painter', 'zen'],
                                             default='amiko',
@@ -38,7 +38,7 @@ def gradio_inputs_for_MD_DLC(md_models_list, # list(MD_models_dict.keys())
                                             label='Select keypoint label font')
     gr_slider_font_size = gr.inputs.Slider(5,30,1,8,
                                           label='Set font size')
-    gr_slider_marker_size = gr.inputs.Slider(1,20,1,5,
+    gr_slider_marker_size = gr.inputs.Slider(1,20,1,9,
                                             label='Set marker size')   
 
     # list of inputs
@@ -66,8 +66,7 @@ def gradio_outputs_for_MD_DLC():
 # User interace: description
 def gradio_description_and_examples():
     title = "DeepLabCut Model Zoo SuperAnimals"
-    description = " <a href='https://github.com/microsoft/CameraTraps'>MegaDetector v5a</a> + <a href='https://github.com/DeepLabCut/DeepLabCut'>DeepLabCut</a>. \
-                    We host SuperAnimal models from the <a href='http://www.mackenziemathislab.org/dlc-modelzoo'>DeepLabCut ModelZoo Project</a>\, and two <a href='https://github.com/microsoft/CameraTraps/blob/main/megadetector.md'>Mega Detector Models</a>. This repo is based on https://huggingface.co/spaces/DeepLabCut/MegaDetector_DeepLabCut"
+    description = "Test the SuperAnimal models from the <a href='http://www.mackenziemathislab.org/dlc-modelzoo'>DeepLabCut ModelZoo Project</a>\! Simply upload an image and see how it does. Want to run on videos on the cloud or locally? See the <a href='http://www.mackenziemathislab.org/dlc-modelzoo'>DeepLabCut ModelZoo</a>\. This repo is adapted from https://huggingface.co/spaces/DeepLabCut/MegaDetector_DeepLabCut"
 
 
     examples = [['examples/dog.jpeg', 'md_v5a', 'superanimal_quadruped', False, True, 0.5, 0.00, 'amiko',9, 'red', 3]]