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Bridge that answers nationstates issues using an AI

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nationstates-ai

Bridge that answers nationstates issues using an AI

How to set up:

  1. Create an account on Huggingface (https://huggingface.co)
  2. Generate a read-access token (https://huggingface.co/settings/tokens)
  3. Find a host for this bot. I use Daki (https://daki.cc)
  4. Create a server. The absolute minimum necessary is 10% CPU, 100mb RAM and 200mb disk storage. Adding more CPU will make your server start up faster but does little else. Remember to set the programming language as Python!
  5. Copy the repository and file names.
  6. Edit environment variables in .env
  • USER_AGENT: I use "email@email.com AI Issue Answering" as the user agent, where email@email.com is your actual email.
  • HF_API_TOKEN: Input the read-access token you generated in step 2
  • API_URL: You can keep this the same. The format is https://api-inference.huggingface.co/models/ plus the model name at the end. The default value is https://api-inference.huggingface.co/models/distilbert-base-cased-distilled-squad. You can use any question answering model. The list can be found at https://huggingface.co/models?pipeline_tag=question-answering&sort=downloads. To use a model from that collection, copy its name, which is the title showed in search results, and attach it to the end of the url.
  • NATION: Input the corresponding nation names for the passwords you listed above.

Format: Lowercase, replace all spaces with _, do not keep prefixes like The Republic of Nation

Examples:

Nation -> "nation"

Very Good AI Nation -> "very_good_ai_nation"

  • NATIONSTATES_PASSWORDS: Input your Nationstates passwords, one for each nation you want to use the AI to control.
  • PROMPTS: Input the prompt you want to give to the AI at the beginning of each issue query.

The prompts will be sent to the AI in this format: "{prompt} 1, 2, 3 or 4?"

Example: prompt = "Who would Donald Trump agree with,"

Sent query: "Who would Donald Trump agree with, 1, 2, 3, or 4?"

  1. Run the bot.

The logs are outputted to logs.log.

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