rename models to match DLC modelzoo

app.py

@@ -39,7 +39,7 @@ Megadet_Models = {'md_v5a': "megadet_model/md_v5a.0.0.pt",
 gr_image_input = gr.inputs.Image(type="pil", label="Input Image")
 
 
-gr_dlc_model_input = gr.inputs.Dropdown(choices=['full_cat','full_dog', 'monkey_face', 'full_human', 'full_monkey'], # choices
+gr_dlc_model_input = gr.inputs.Dropdown(choices=['full_cat','full_dog', 'primate_face', 'full_human', 'full_macaque'], # choices
                                         default='full_cat', # 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 DeepLabCut model')
@@ -239,13 +239,13 @@ def predict_pipeline(img_input,
     elif model_input_str == 'full_dog':
         path_to_DLCmodel =  "model/DLC_Dog_resnet_50_iteration-0_shuffle-0"
         pose_cfg_path = os.path.join(path_to_DLCmodel,'pose_cfg.yaml')
-    elif model_input_str == 'monkey_face':
+    elif model_input_str == 'primate_face':
         path_to_DLCmodel =  "model/DLC_FacialLandmarks_resnet_50_iteration-1_shuffle-1"
         pose_cfg_path = os.path.join(path_to_DLCmodel,'pose_cfg.yaml')
     elif model_input_str == 'full_human':
         path_to_DLCmodel =  "model/DLC_human_dancing_resnet_101_iteration-0_shuffle-1"
         pose_cfg_path = os.path.join(path_to_DLCmodel,'pose_cfg.yaml')
-    elif model_input_str == 'full_monkey':
+    elif model_input_str == 'full_macaque':
         path_to_DLCmodel =  "model/DLC_monkey_resnet_50_iteration-0_shuffle-1"
         pose_cfg_path = os.path.join(path_to_DLCmodel,'pose_cfg.yaml')        
                      
@@ -353,7 +353,7 @@ gr_description = "Contributed by Sofia Minano, Neslihan Wittek, Nirel Kadzo, Vic
 # examples = [['data/Macropod.jpg'], ['data/koala2.jpg'],['data/cat.jpg'],['data/BrushtailPossum.jpg']]
 
 # %% 
-examples = [['example/monkey_full.jpg', 'full_monkey', False, 0.5, 0.3, 'amiko', 5, 'blue', 3, 'md_v5a'],
+examples = [['example/monkey_full.jpg', 'full_macaque', False, 0.5, 0.3, 'amiko', 5, 'blue', 3, 'md_v5a'],
 ['example/dog.jpeg', 'full_dog', False, 0.5, 0.05, 'amiko', 5, 'yellow', 3, 'md_v5a'],
 ['example/cat.jpg', 'full_cat', False, 0.5, 0.05, 'amiko', 5, 'purple', 3, 'md_v5a']]
 demo = gr.Interface(predict_pipeline,