gpt-discord-bot
text-generation-webui
gpt-discord-bot | text-generation-webui | |
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7 | 876 | |
1,711 | 36,293 | |
1.2% | - | |
4.2 | 9.9 | |
20 days ago | 6 days ago | |
Python | Python | |
MIT License | GNU Affero General Public License v3.0 |
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gpt-discord-bot
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Discord bot trained on custom knowledge
I’ve set up an initial bot using the gpt-discord-bot package. I’m wondering how to train it with more data like an entire PDF for example instead of editing the instructions in config.yaml. Also, how would I go about hosting this so it can run constantly, do I just run in on a standard Linux server with certain firewall settings?
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GPT Discord Bot personality, persistence and hosting
Hey guys, I'm new to AI chat bots but eager to learn. I'm playing around with [gpt-discord-bot](https://github.com/openai/gpt-discord-bot) and have a few questions to get me up and running if someone has time:
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Most efficient way to set up API serving of custom LLMs?
And here's a Discord bot that currently works with it that you may be able to learn from: https://github.com/openai/gpt-discord-bot
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I turned ChatGPT into a Discord bot with a voice and may have summoned AI Lucifer
Here's the page that tells you how to do it but you'll need some programming knowledge in python to get it to work. it's not just something you can invite to your server. https://github.com/openai/gpt-discord-bot
- LocalAI: OpenAI compatible API to run LLM models locally on consumer grade hardware!
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Using Davinci 003, can we make it always pretend it’s someone else?
This one, right here >> https://github.com/openai/gpt-discord-bot Follow the instruction and you'll get it working.
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Paid $42 for ChatGPT Pro Yesterday and “getting at capacity error”
Go to the official OpenAI Discord - https://discord.gg/openai and then go to #gpt-discord-bot and that'll send you to https://github.com/openai/gpt-discord-bot to get the code. I'm running the code on a RaspberryPi but originally I ran it on my MacBook. Super easy to setup. Just needs an API key from OpenAI you can get here: https://beta.openai.com/account/api-keys once you give them a credit card for billing https://beta.openai.com/account/billing/overview and you can set limits on what they charge you. It's honestly super cheap. For Discord you just need a server you own to invite the bot to and of course Discord lets you setup a server for free.
text-generation-webui
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Ask HN: What is the current (Apr. 2024) gold standard of running an LLM locally?
Some of the tools offer a path to doing tool use (fetching URLs and doing things with them) or RAG (searching your documents). I think Oobabooga https://github.com/oobabooga/text-generation-webui offers the latter through plugins.
Our tool, https://github.com/transformerlab/transformerlab-app also supports the latter (document search) using local llms.
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Ask HN: How to get started with local language models?
You can use webui https://github.com/oobabooga/text-generation-webui
Once you get a version up and running I make a copy before I update it as several times updates have broken my working version and caused headaches.
a decent explanation of parameters outside of reading archive papers: https://github.com/oobabooga/text-generation-webui/wiki/03-%...
a news ai website:
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text-generation-webui VS LibreChat - a user suggested alternative
2 projects | 29 Feb 2024
- Show HN: I made an app to use local AI as daily driver
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Ask HN: People who switched from GPT to their own models. How was it?
The other answers are recommending paths which give you #1. less control and #2. projects with smaller eco-systems.
If you want a truly general purpose front-end for LLMs, the only good solution right now is oobabooga: https://github.com/oobabooga/text-generation-webui
All other alternatives have only small fractions of the features that oobabooga supports. All other alternatives only support a fraction of the LLM backends that oobabooga supports, etc.
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AI Girlfriend Is a Data-Harvesting Horror Show
The example waifu in text-generation-webui is good enough for me.
https://github.com/oobabooga/text-generation-webui/blob/main...
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Nvidia's Chat with RTX is a promising AI chatbot that runs locally on your PC
> Downloading text-generation-webui takes a minute, let's you use any model and get going.
What you're missing here is you're already in this area deep enough to know what ooogoababagababa text-generation-webui is. Let's back out to the "average Windows desktop user" level. Assuming they even know how to find it:
1) Go to https://github.com/oobabooga/text-generation-webui?tab=readm...
2) See a bunch of instructions opening a terminal window and running random batch/powershell scripts. Powershell, etc will likely prompt you with a scary warning. Then you start wondering who ooobabagagagaba is...
3) Assuming you get this far (many users won't even get to step 1) you're greeted with a web interface[0] FILLED to the brim with technical jargon and extremely overwhelming options just to get a model loaded, which is another mind warp because you get to try to select between a bunch of random models with no clear meaning and non-sensical/joke sounding names from someone called "TheBloke". Ok...
Let's say you somehow braved this gauntlet and get this far now you get to chat with it. Ok, what about my local documents? text-generation-webui itself has nothing for that. Repeat this process over the 10 random open source projects from a bunch of names you've never heard of in an attempt to accomplish that.
This is "I saw this thing from Nvidia explode all over media, twitter, youtube, etc. I downloaded it from Nvidia, double-clicked, pointed it at a folder with documents, and it works".
That's the difference and it's very significant.
[0] - https://raw.githubusercontent.com/oobabooga/screenshots/main...
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Ask HN: What are your top 3 coolest software engineering tools?
Maybe a copout answer, but setting up a local LLM on my development machine has been invaluable. I use Deep Seek Coder 6.7 [0] and Oobabooga's UI [1]. It helps me solve simple problems and find bugs, while still leaving the larger architecture decisions to me.
[0] https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instr...
[1] https://github.com/oobabooga/text-generation-webui
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Meta AI releases Code Llama 70B
You can download it and run it with [this](https://github.com/oobabooga/text-generation-webui). There's an API mode that you could leverage from your VS Code extension.
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Ollama Python and JavaScript Libraries
Same question here. Ollama is fantastic as it makes it very easy to run models locally, But if you already have a lot of code that processes OpenAI API responses (with retry, streaming, async, caching etc), it would be nice to be able to simply switch the API client to Ollama, without having to have a whole other branch of code that handles Alama API responses. One way to do an easy switch is using the litellm library as a go-between but it’s not ideal (and I also recently found issues with their chat formatting for mistral models).
For an OpenAI compatible API my current favorite method is to spin up models using oobabooga TGW. Your OpenAI API code then works seamlessly by simply switching out the api_base to the ooba endpoint. Regarding chat formatting, even ooba’s Mistral formatting has issues[1] so I am doing my own in Langroid using HuggingFace tokenizer.apply_chat_template [2]
[1] https://github.com/oobabooga/text-generation-webui/issues/53...
[2] https://github.com/langroid/langroid/blob/main/langroid/lang...
Related question - I assume ollama auto detects and applies the right chat formatting template for a model?