Update README.md

README.md

@@ -40,7 +40,7 @@ This is an updated, higher-quality model with a larger, cleaner training dataset
 
 ## Try it on our Huggingface Space
 
-Give it a try before downloading here: https://huggingface.co/spaces/quickmt/QuickMT-Demo
+Give it a try before downloading here: https://huggingface.co/spaces/quickmt/QuickMT-gui
 
 
 ## Model Information
@@ -57,22 +57,25 @@ See the `eole` model configuration in this repository for further details and th
 
 You must install the Nvidia cuda toolkit first, if you want to do GPU inference.
 
-Next, install the `quickmt` python library and download the model:
+Next, install the `quickmt` [python library](github.com/quickmt/quickmt). 
 
 ```bash
 git clone https://github.com/quickmt/quickmt.git
 pip install ./quickmt/
-
-quickmt-model-download quickmt/quickmt-ru-en ./quickmt-ru-en
 ```
 
-Finally use the model in python:
+Finally, use the model in python:
 
 ```python
 from quickmt import Translator
-
-# Auto-detects GPU, set to "cpu" to force CPU inference
-t = Translator("./quickmt-ru-en/", device="auto")
+from huggingface_hub import snapshot_download
+
+# Download Model (if not downloaded already) and return path to local model
+# Device is either 'auto', 'cpu' or 'cuda'
+t = Translator(
+    snapshot_download("quickmt/quickmt-ru-en", ignore_patterns="eole-model/*"),
+    device="cpu"
+)
 
 # Translate - set beam size to 1 for faster speed (but lower quality)
 sample_text = 'Dr. Ehud Ur, professor i medicin på Dalhousie University i Halifax, Nova Scotia, og formand for den kliniske og videnskabelige afdeling af Canadian Diabetes Association, advarede om at forskningen stadig er i dens tidlige stadier.'