Kuebiko

A Twitch Chat Bot that reads twitch chat and creates a text to speech response using google could api and openai's GPT-3 text completion model.
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This is a project to setup your very own VTuber AI similar to "Neuro-Sama".

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• Python

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This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.

• VLC MUST BE DOWNLOADED ON YOUR COMPUTER

In order to install the prerequisites you will need to do:

• pip

  pip install -r requirements.txt

1. Get a OpenAI API Key at OpenAPIKey
2. Get a Twitch API Token at TwitchToken
3. Create a Google Cloud Project with TTS Service enabled and download JSON credentials file. GoogleCloud
4. Clone the repo

   git clone https://github.com/github_username/repo_name.git

5. Add the Google Cloud JSON file into the project folder.
6. Enter your Twitch Username and API Token in main.py

   super().__init__(token='', prefix='!', initial_channels=[''])

7. Add the name of the Google Cloud JSON File into main.py

   os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = ''

8. Add the OpenAI API Key into chat.py

   openai.api_key = ""

9. Download VTube Studio and use VBAudio Cable to route audio coming from the program.
10. Add the following script into OBS CaptionsScript
11. Create a new text source for captions, and set it to read from a file, select the output.txt file from the project folder.
12. In the script options put the name of you're text source.
13. Set the script in transform options to scale to inner bounds, and adjust the size of the captions.
14. Enjoy! For more details watch the attatched video.
15. IN ORDER TO CHANGE THE VOICE OF YOU'RE VTUBER you will need to change the following parameters in main.py Here is a list of supported voices

  voice = texttospeech.VoiceSelectionParams(
      language_code="en-GB",
      name= "en-GB-Wavenet-B",
      ssml_gender=texttospeech.SsmlVoiceGender.MALE,
  )

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Use this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources.

For more examples, please refer to the Documentation

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• Feature 1
• Feature 2
• Feature 3
  • Nested Feature

See the open issues for a full list of proposed features (and known issues).

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Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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Distributed under the MIT License.

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Your Name - @adi_panda - [email protected]

Project Link: https://github.com/github_username/repo_name

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Replace API Keys in code and add google cloud json file and program should work!