chatgpt-cli-tool 1.3.10

Command-line interface tool for interacting with ChatGPT using terminal

ChatGPT - Command-Line Interface

CLI tool for interacting with ChatGPT using terminal

Requirements

• Python >= 3.8.0
• OpenAI account and valid API key

Installation

Tool can be installed using python3 pip command:

pip install chatgpt-cli-tool

Or you can install it directly form this project after building it:

python build.py

pip install dist/chatgpt-cli-tool-{version}.tar.gz

Configuration

In order to use ChatGPT cli you will first need to register and create an API key on the official OpenAI website.

Then you can configure the tool with your API key using any of the following options:

1. Create an ~/.chatgpt-cli/.env file with variable OPENAI_API_KEY
2. Create an .env file in the working directory with variable OPENAI_API_KEY
3. Set it through environment variable OPENAI_API_KEY
4. Pass it as the first argument when executing this tool (e.g. chatgpt-cli my_api_key)

All configurable environment variables for ChatGPT can be found in .env.example file:

Variable name	Description	Default value
OPENAI_API_KEY	OpenAI API key used to send request	-
GPT_MODEL	GPT model used for chat completion	gpt-3.5-turbo
GPT_SYSTEM_DESC	The description for the system on how to best tailor answers (disable with "None")	You are a very direct and straight-to-the-point assistant.
GPT_IMAGE_SIZE	The generated image size (256x256, 512x512 or 1024x1024)	512x512
HISTORY_SIZE	Number of last messages to keep in hostory as a context for the next question	3

Running the CLI

If you installed the tool using pip, then simply start the cli using any of the following commands:

chatgpt-cli [api_key]

This command starts interactive ChatGPT where you can chat with AI in form of a dialog.

# with api key
chatgpt-cli my_api_key

# without api key
chatgpt-cli

gpt-ai [api_key] [query]

This comand sends single chat completion prompt for given query or content, and prints the result on stdout.

# with api key and query argument
gpt-ai my_api_key "What is ChatGPT?"

# with query argument
gpt-ai "What is ChatGPT?"

# with api key and piped input
cat file.txt | gpt-ai my_api_key

# with query from stdin
cat question.txt | gpt-ai

# with both query as argument and piped input
cat long-story.txt | gpt-ai "sumarize this text in 5 bullet points"

# with both query as argument and input directly from file
gpt-ai "explain this code" < main.py

gpt-img [api_key] [prompt] [img_out]

This comand generates image for given prompt or content, and stores the image in provided output path or if not specified, prints the binary result on stdout. Some terminals like PowerShell might malform the binary content when outputing to file.

# with api key, prompt and output image path
gpt-img my_api_key "Robot walking a dog" ./my-images/image.png

# without api key
gpt-img "Robot walking a dog" ./my-images/image.png

# without output image path, the binary image data will be outputed to stdout
gpt-img "Robot walking a dog" > image.png

# with both piped input and argument prompts
cat description.txt | gpt-img "with cartoon graphics" ./image.png

# with only piped input and output image file
cat description.txt | gpt-img ./image.png

# with only piped input and output image directed to file
cat description.txt | gpt-img > ./image.png

# with only input directly from file, binary image data will be outputed to stdout
gpt-img < idea.txt

API key argument is optional for all commands, but if provided it will override API key defined using environment variables.

Recommendations

ChatGPT-Slackbot

If you are a regular Slack user, check out my other project which provides seamless ChatGPT and Slack integration: https://github.com/lmatosevic/chatgpt-slackbot

License

ChatGPT-Cli is MIT licensed.