Update spaces link

README.md

@@ -15,11 +15,11 @@ license: apache-2.0
 ## Rapid Offense Text Autocoder
 
 [![HuggingFace Models](https://img.shields.io/badge/%F0%9F%A4%97%20models-2021.05.18.15-blue)](https://huggingface.co/rti-international/rota)
-[![HuggingFace Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20spaces-2021.05.18.15-blue)](https://rti-international-rota-app.hf.space)
+[![HuggingFace Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20spaces-2021.05.18.15-blue)](https://huggingface.co/spaces/rti-international/rota-app)
 [![GitHub Model Release](https://img.shields.io/github/v/release/RTIInternational/rota?logo=github)](https://github.com/RTIInternational/rota)
 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4770492.svg)](https://doi.org/10.5281/zenodo.4770492)
 
-ROTA Application hosted on Hugging Face Spaces: https://rti-international-rota-app.hf.space 
+ROTA Application hosted on Hugging Face Spaces: https://huggingface.co/spaces/rti-international/rota-app 
 
 Criminal justice research often requires conversion of free-text offense descriptions into overall charge categories to aid analysis. For example, the free-text offense of "eluding a police vehicle" would be coded to a charge category of "Obstruction - Law Enforcement". Since free-text offense descriptions aren't standardized and often need to be categorized in large volumes, this can result in a manual and time intensive process for researchers. ROTA is a machine learning model for converting offense text into offense codes.