add ABOUT.md file

ABOUT.md

@@ -0,0 +1,18 @@
+# ROTA
+## Rapid Offense Text Autocoder
+
+### ℹ️ Intro
+
+[![HuggingFace Models](https://img.shields.io/badge/%F0%9F%A4%97%20models-2021.05.18.15-blue)](https://huggingface.co/rti-international/rota)
+[![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)
+
+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. 
+
+Currently ROTA predicts the *Charge Category* of a given offense text. A *charge category* is one of the headings for offense codes in the [2009 NCRP Codebook: Appendix F](https://www.icpsr.umich.edu/web/NACJD/studies/30799/datadocumentation#).
+
+The model was trained on [publicly available data](https://web.archive.org/web/20201021001250/https://www.icpsr.umich.edu/web/pages/NACJD/guides/ncrp.html) from a crosswalk containing offenses from all 50 states combined with three additional hand-labeled offense text datasets.
+
+For more information on the model, please see the [model repo](https://huggingface.co/rti-international/rota).
+
+This model and application were developed by the [RTI International Center for Data Science](https://www.rti.org/centers/rti-center-data-science).

README.md

@@ -1,8 +1,8 @@
 ---
-title: ROTA App
-emoji: 🚀
-colorFrom: purple
-colorTo: red
+title: ROTA App: Rapid Offense Text Autocoder
+emoji: ⚡️
+colorFrom: blue
+colorTo: white
 sdk: streamlit
 sdk_version: 1.15.2
 app_file: app.py

app.py

@@ -14,7 +14,7 @@ PRED_BATCH_SIZE = 4
 
 st.set_page_config(page_title="ROTA", initial_sidebar_state="collapsed")
 
-st.markdown(Path("README.md").read_text())
+st.markdown(Path("ABOUT.md").read_text())
 
 st.markdown("## ✏️ Single Coder Demo")
 input_text = st.text_input(