Assignment 0 (not graded)作業0（不計分）

Due: 23 Sep, 9:00 am

For this assignment, please complete the following steps:

1. Create a new GitHub repository and open it in Codespaces.
2. Using the method taught in class, call the GLM-5.3-Flash model through OpenCode (with your own API key).
3. Choose a literary text you like and ask the model to suggest several ways of analyzing it, for example:
   • the most frequent words
   • words that characterize each figure in the text
   • dictionary-based emotion analysis: the distribution of positive and negative sentiment across the text

   The method can be very simple or somewhat more complex — that is up to you.

4. Once the analysis is finished, you will have a .py script, a .txt file, and an .html file presenting the final results.
5. Commit and push all the files to your GitHub repository to save your work.

Publishing to GitHub Pages (three simple steps)

So that your .html results can be viewed directly on the web, publish them as a GitHub Pages site:

1. Make sure your final .html file is in the root of the repository and named index.html. (If it has a different name, remember to specify the correct file in the following steps.)
2. On your repository page, go to Settings → Pages.
3. Under Build and deployment → Source, choose:
   • Branch: main
   • Folder: / (root)

   Then click Save. Wait 1–2 minutes and the site will be generated automatically.

Once it is published, a URL will appear on the same page, in this format:

https://your-account.github.io/your-repo-name/

Submission

Please submit the following two links:

• the URL of your GitHub repository
• the URL of your GitHub Pages site (where your analysis can be viewed directly)

If you have any questions, please feel free to ask!