assistant: A bot of this type would need to operate via more than just one invocation of the model. The process would go something like:
* A small speech classifier model, which is continually sampling small overlapping windows for an activation sequence. This would only require one output node, a flag indicating whether the model was activated.
* A larger speech to text model, which samples a much larger window that begins with the small window of the previous classifier, and contains enough of the following data to contain the requests. This would convert the request into text that could be passed into a traditional large language model such as Open Assistant.
* A Large Language model as mentioned above. This would be fine tuned to take the request and generate a formatted set of analyses like "Is this asking for a discord operation? If so, what operation? Is this asking for a web query? If so, what query? Is this asking for an LLM generated response? Does this require another processing step on the result of the query or LLM response?" in a simple JSON format. For example, it might return { "discord_action": "!add example_user voice_chat_channel" } for the input "hey voicebot, please add the user "example_user" to the voice chat channel.
* A fuzzy string matcher that matches returned arguments to commands to the relevant options. This is necessary as the speech to text may be providing a text output that is not an exact match for the users and channels actually present in the server.
* A portion of the containing script that executes the commands. If it is simply discord text messages as commands, it can just return the command as text output.

prompter: Could you give me the url to a blog posts or videos which would help me get started?

assistant: Discord, a popular communication software, has a comprehensive application programming interface (API) for creating bots and other applications. The process of creating a bot or other application consists of creating the application in Discord Developer Portal and obtaining an authentication token, writing and testing the bot's code and finally deploying the bot for use.

To get started, navigate to the Discord Developer Portal and create a new application. The token can be found under the section labeled "Bot". You can refer to Discord's own documentation for details. Please note that you must keep the token secret, as anyone can control your bot if they obtain that token.

Writing the bot's code requires some programming knowledge. If you are already familiar with a programming language, you should check whether a library for interacting with the Discord API already exists for that language. If you are not familiar with programming, or there are no libraries for your favorite language, some popular libraries include discord.py, discord.js and Discord4J for the Python, JavaScript and Java programming languages, respectively. You can refer to the libraries' documentation for details about their exact usage. In particular, you should choose a library that supports receiving voice from the voice channel, as all libraries do not support this feature.

To implement speech recognition for speech coming through a voice channel, you could have a buffer where incoming voice is continuously recorded. This buffer can then be sent to speech recognition and text classifier models of your choice. Finally, if a supported command was found, it can be invoked by calling the function implementing the command.

After the bot's code has been written and tested, it can be deployed. As your bot uses speech recognition and text classification, it may require relatively high-end hardware to keep up with several people talking at the same time. Another option is to use cloud services for speech recognition and classification. In this case, hardware requirements are lower. However, cloud services usually have a cost associated with them, which makes them less lucrative if you want to keep the costs low.

In conclusion, a discord bot can be created by first obtaining the token from Discord Developer Portal, writing the bot's code and deploying it.

assistant: Discord has an API that you can interact with using various software languages such as python, C#, C++, and others. Go to discord and setup the API key using the "build a bot" feature in the discord settings. Once you have done that you can start developing your bot.

prompter: I've set up the API key. Please give me specific steps for creating the bot as I've described.