askai
tldr
askai | tldr | |
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1,753 | 262 | |
86 | 48,494 | |
- | 1.0% | |
10.0 | 10.0 | |
over 1 year ago | 3 days ago | |
TypeScript | Markdown | |
- | GNU General Public License v3.0 or later |
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askai
- OpenAI Bought Chatgpt.com
- The ChatGPT URL have changed
- Chat.openai.com now redirects (me) to chatgpt.com
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Unofficial ChatGPT API
This API allows you to interact with ChatGPT programmatically, and I've built some cool agents on top of it. Check out the code and let me know what you think! :
ChatGPT unofficial API :
This project is a Node.js application that interacts with the ChatGPT conversational AI model using Puppeteer, a Node.js library for automating web browsers.
Files chatgptv1.js: This file contains the main logic for the ChatGPT bot, including methods for initializing the browser, sending messages, receiving replies, and handling errors.
bart.js: This file contains a function that uses the Cloudflare API to summarize the conversation history when an error occurs, in order to resume the conversation.
twochatbotsconv.js: This file is simple use of the API , which creates two instances of the ChatGPT class, initiates a conversation between them, and saves the conversation history to a file.
.env: This file contains the API token for the Cloudflare API, which is used in the bart.js file.
Dependencies :
puppeteer: A Node.js library for automating web browsers. fs: The built-in file system module in Node.js. winston: A logging library for Node.js. crypto: The built-in cryptography module in Node.js. axios: A popular HTTP client library for Node.js. dotenv: A zero-dependency module that loads environment variables from a .env file.
Usage:
Install the dependencies by running npm install in your project directory. Create a .env file in the project directory and add your Cloudflare API token:
API_TOKEN=YourfreeCloudFlareAPIToken In your code, create a new instance of the ChatGPT class and use the sendMessage and getReply methods to interact with the ChatGPT model:
const ChatGPT = require('./chatgptv1');
const chatgpt = new ChatGPT(); await chatgpt.initializeBrowser();
await chatgpt.sendMessage('Hello, ChatGPT!'); const reply = await chatgpt.getReply(); console.log(reply);
await chatgpt.closeBrowser(); If an error occurs during the conversation, the handleError method will attempt to save the conversation history and resume the conversation using the summarized context.
Before Running :
run Google chrom in the debug mode using 9220 port , run : google-chrome-stable --remote-debugging-port=9222
Customization :
You can customize the behavior of the ChatGPT bot by passing options to the ChatGPT constructor:
chatbotUrl: The URL of the ChatGPT interface (default: 'https://chat.openai.com/'). headless: Whether to run the browser in headless mode (default: false). saveConversationCallback: A callback function that will be called with the conversation summary and the conversation file name when an error occurs.
License:
This project is licensed under the MIT License.
- It's a shame – chat.openai.com redirect to chatgpt.com is broken
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Building a Basic Forex Rate Assistant Using Agents for Amazon Bedrock
After wrestling with it for a bit and eventually giving up, I instead turned to ChatGPT to see if it is smart enough for the task. With my free plan, I asked ChatGPT 3.5 the following:
- Learn to ask for help
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How to build a custom GPT: Step-by-step tutorial
Go to chat.openai.com and log in
- Chat.openai.com no longer requires login
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Integrating Strapi with ChatGPT and Next.js
In this tutorial, we will learn how to use Strapi, ChatGPT, and Next.js to build an app that displays recipes using AI.
tldr
-
Ask HN: Is there a GUI for bash shell?
Maybe this already helps: https://github.com/tldr-pages/tldr
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Try / Ripgrep in Y Minutes
A bit of an aside, but I really like "guides to things we otherwise take for granted". So few man pages are built around example use cases, but those are often what make the case for a tool!
A similar spirit to projects like https://github.com/tldr-pages/tldr/ , but this has a lot more useful detail.
The ripgrep author has a blog post on performance and benchmarking that is an interesting read in itself: https://blog.burntsushi.net/ripgrep/
- Serving my blog posts as Linux manual pages
- Tldr: Simplified and community-driven man pages
- Tell HN: My Favorite Tools
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Should you add screenshots to documentation?
Looks like bro pages is archived and they recommend https://github.com/tldr-pages/tldr or https://github.com/cheat/cheat
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Have i made my own linux distro? ^_^
a very excellent tool to grab is TLDR https://tldr.sh/
- fixedIt
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Day 2 - Basic navigation
And that's why tldr is such a powerful tool! You can easily install it with sudo apt install tldr or follow this demo.
- Tldr Pages
What are some alternatives?
ChatGPT - 🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
cheat - cheat allows you to create and view interactive cheatsheets on the command-line. It was designed to help remind *nix system administrators of options for commands that they use frequently, but not frequently enough to remember.
gpt-4chan-model
tealdeer - A very fast implementation of tldr in Rust.
openai-cookbook - Examples and guides for using the OpenAI API
cheat.sh - the only cheat sheet you need
ai-cli - Get answers for CLI commands from ChatGPT right from your terminal
zsh-autosuggestions - Fish-like autosuggestions for zsh
KoboldAI-Client
navi - An interactive cheatsheet tool for the command-line
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
fish-shell - The user-friendly command line shell.