added different models

app.py

@@ -168,7 +168,16 @@ def predict_pipeline(img_input,
     elif model_input_str == 'full_dog':
         path_to_DLCmodel =  "models/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':
+        path_to_DLCmodel =  "models/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 =  "models/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':
+        path_to_DLCmodel =  "models/DLC_monkey_resnet_50_iteration-0_shuffle-1"
+        pose_cfg_path = os.path.join(path_to_DLCmodel,'pose_cfg.yaml')        
+        
     # read pose cfg as dict
     with open(pose_cfg_path, "r") as stream:
         pose_cfg_dict = yaml.safe_load(stream)