diff --git a/README.md b/README.md
index 311d22c..fc95f8d 100644
--- a/README.md
+++ b/README.md
@@ -41,12 +41,17 @@ For more details and examples, see documentation [here](dlclive/processor/README
 Please see our instruction manual to install on a [Windows or Linux machine](docs/install_desktop.md) or on a [NVIDIA Jetson Development Board](docs/install_jetson.md). Note, this code works with tensorflow (TF) 1 or TF 2 models, but TF requires that whatever version you exported your model with, you must import with the same version (i.e., export with TF1.13, then use TF1.13 with DlC-Live; export with TF2.3, then use TF2.3 with DLC-live).
 
 - available on pypi as: `pip install deeplabcut-live`
+  
 
-Note, you can then test your installation by running:
+Note, you can then test your installation by installing poetry (`pip install poetry`), then running:
 
-`dlc-live-test`
 
-If installed properly, this script will i) create a temporary folder ii) download the full_dog model from the [DeepLabCut Model Zoo](http://www.mousemotorlab.org/dlc-modelzoo), iii) download a short video clip of a dog, and iv) run inference while displaying keypoints. v) remove the temporary folder.
+
+```python
+poetry run dlc-live-test
+```
+
+If installed properly, this script will i) create a temporary folder ii) download the SuperAnimal-Quadruped model from the [DeepLabCut Model Zoo](http://www.mousemotorlab.org/dlc-modelzoo), iii) download a short video clip of a dog, and iv) run inference while displaying keypoints. v) remove the temporary folder.
 
 <img src="https://images.squarespace-cdn.com/content/v1/57f6d51c9f74566f55ecf271/1606081086014-TG9GWH63ZGGOO7K779G3/ke17ZwdGBToddI8pDm48kHiSoSToKfKUI9t99vKErWoUqsxRUqqbr1mOJYKfIPR7LoDQ9mXPOjoJoqy81S2I8N_N4V1vUb5AoIIIbLZhVYxCRW4BPu10St3TBAUQYVKcOoIGycwr1shdgJWzLuxyzjLbSRGBFFxjYMBr42yCvRK5HHsLZWtMlAHzDU294nCd/dlclivetest.png?format=1000w" width="650" title="DLC-live-test" alt="DLC LIVE TEST" align="center" vspace = "50">
 
diff --git a/dlclive/check_install/check_install.py b/dlclive/check_install/check_install.py
index 7601533..031d913 100755
--- a/dlclive/check_install/check_install.py
+++ b/dlclive/check_install/check_install.py
@@ -5,7 +5,8 @@
 Licensed under GNU Lesser General Public License v3.0
 """
 
-
+import os
+import urllib.request
 import sys
 import shutil
 import warnings
@@ -41,26 +42,27 @@ def main():
     if not display:
         print('Running without displaying video')
 
-    # make temporary directory in $HOME
-    # TODO: why create this temp directory in $HOME?
+    # make temporary directory in $current
     print("\nCreating temporary directory...\n")
-    tmp_dir = Path().home() / 'dlc-live-tmp'
-    tmp_dir.mkdir(mode=0o775,exist_ok=True)
+    tmp_dir = Path.cwd() / 'dlc-live-tmp'
+    tmp_dir.mkdir(mode=0o775, exist_ok=True)
 
     video_file = str(tmp_dir / 'dog_clip.avi')
     model_dir = tmp_dir / 'DLC_Dog_resnet_50_iteration-0_shuffle-0'
 
     # download dog test video from github:
-    # TODO: Should check if the video's already there before downloading it (should have been cloned with the files)
-    print(f"Downloading Video to {video_file}")
-    url_link = "https://github.com/DeepLabCut/DeepLabCut-live/blob/master/check_install/dog_clip.avi?raw=True"
-    urllib.request.urlretrieve(url_link, video_file, reporthook=urllib_pbar)
+    if not os.path.exists(video_file):
+        print(f"Downloading Video to {video_file}")
+        url_link = "https://github.com/DeepLabCut/DeepLabCut-live/blob/main/check_install/dog_clip.avi?raw=True"
+        urllib.request.urlretrieve(url_link, video_file, reporthook=urllib_pbar)
+    else:
+        print(f"Video already exists at {video_file}")
 
     # download model from the DeepLabCut Model Zoo
     if Path(model_dir / SNAPSHOT_NAME).exists():
         print('Model already downloaded, using cached version')
     else:
-        print("Downloading full_dog model from the DeepLabCut Model Zoo...")
+        print("Downloading a test model from the DeepLabCut Model Zoo...")
         download_huggingface_model(MODEL_NAME, model_dir)
 
     # assert these things exist so we can give informative error messages