design me a simple streamlit to view the github issue threads and comment on them using a github pat that you can enter

[jmikedupont2]

Creating a complete Streamlit application with GitHub integration and commenting functionality requires several steps. Here's a simplified outline of how you can design such an app:

1. Setup Environment:

   • Install Streamlit and required libraries.
   • Ensure you have a GitHub Personal Access Token (PAT) ready.

2. Create a Streamlit App: Create a Python script (e.g., github_issue_viewer.py) and import necessary libraries.

3. Authentication: Create an input field to enter the GitHub PAT.

   github_pat = st.text_input("Enter your GitHub Personal Access Token:")

4. GitHub API Integration: Use the requests library to interact with the GitHub API. You can list issues in a repository like this:

   import requests
   
   def list_issues(repo_owner, repo_name):
      url = f"https://api.github.com/repos/{repo_owner}/{repo_name}/issues"
      headers = {"Authorization": f"token {github_pat}"}
      response = requests.get(url, headers=headers)
      return response.json()

5. Display Issues: You can display a list of issues in a Streamlit app using a DataFrame, a table, or other UI elements.

   issues = list_issues(repo_owner, repo_name)
   st.write("### List of Issues")
   st.table(issues)

6. View Issue Threads and Comments: Allow users to select an issue to view its details, including comments. You can use the GitHub API to fetch issue details.

   selected_issue = st.selectbox("Select an Issue", [issue["title"] for issue in issues])
   
   if selected_issue:
      issue_details = get_issue_details(repo_owner, repo_name, selected_issue)
      st.write("### Issue Details")
      st.write(issue_details)

7. Comment on Issues: Create an input field for users to add comments to the selected issue. You'll need to use the GitHub API to post comments.

   new_comment = st.text_area("Add a Comment:")
   if st.button("Submit Comment"):
      post_comment(repo_owner, repo_name, selected_issue, new_comment)

8. Run the Streamlit App: To run the Streamlit app, use the following command in your terminal:

   streamlit run github_issue_viewer.py

Remember to handle error cases, input validation, and security considerations, such as securely storing and handling the GitHub PAT. Additionally, you should wrap this in exception handling to handle potential network errors or API rate limits.

This is a simplified example, and building a robust GitHub issue viewer with authentication and commenting functionality may require additional considerations and features.

[Mysticmarks]

/agent-action correct code and note changes