redeployed

app.py

@@ -282,6 +282,10 @@ def redact_and_visualize(text: str, model_name: str):
 
 
 hint = """
+<p align="center">
+  <img src="https://github.com/MattStammers/Pteredactyl/blob/main/src/pteredactyl_webapp/assets/img/SETT_Logo.jpg" alt="SETT Logo" />
+</p>
+
 ## Pteredactyl Gradio Webapp and API
 
 Clinical patient identifiable information (cPII) presents a significant challenge in natural language processing (NLP) that has yet to be fully resolved but significant progress is being made [1,2].
@@ -303,6 +307,12 @@ docker build -t pteredactyl:latest .
 docker run -d -p 7860:7860 --name pteredactyl-app pteredactyl:latest
 ```
 
+## Logo
+
+<p align="center">
+  <img src="https://github.com/MattStammers/Pteredactyl/blob/main/src/pteredactyl_webapp/assets/img/Pteredactyl_Logo.jpg" alt="SETT Logo" />
+</p>
+
 ## Background
 
 We introduce a concentrated validation battery to the open-source OHDSI community, a Python module for cPII redaction on free text, and a web application that compares various models against the battery. This setup, which allows simultaneous production API deployment using  Gradio, is remarkably efficient and can operate on a single CPU core.