Apply suggestions from code review

Co-authored-by: Virginia Partridge <[email protected]>

Author: rdziewietin

CHANGELOG.md

@@ -8,7 +8,6 @@ You should also add project tags for each release in Github, see [Managing relea
 
 ## [Unreleased]
 
-## [1.2.0] - 2024-07-30
 ### Added
 - Merged the MSF-OCR-Streamlit repository into this repository
 

README.md

@@ -112,7 +112,7 @@ If you are using the `app_llm.py` version of the application, you will also need
 ## Docker Instructions
 We have provided a Dockerfile in order to easily build and deploy the OpenAI application version as a Docker container. 
 
-1) Build an image named `msf-streamlit`: `docker build -t msf-streamlit .`. Note the `msfocr` package is in a private repository, so you may want to put [add your GitHub access token to the dependency](https://docs.readthedocs.io/en/stable/guides/private-python-packages.html) in `requirements.txt` first. 
+1) Build an image named `msf-streamlit`: `docker build -t msf-streamlit .`.
 
 2) Run the `msf-streamlit` image in a container, passing the necessary environment variables: 
     ```

app_llm.py

@@ -20,7 +20,6 @@ def configure_secrets():
     username = os.environ["DHIS2_USERNAME"]
     password = os.environ["DHIS2_PASSWORD"]
     server_url = os.environ["DHIS2_SERVER_URL"]
-    os.environ["OPENAI_API_KEY"]
     dhis2.configure_DHIS2_server(username, password, server_url)