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Chat GPT wrapper in your TTY

Project description

gptty

License: MIT PyPI version

Chat GPT wrapper in your TTY

Installation

You can install gptty on pip:

pip install gptty

You can also install from git:

cd ~/Code # replace this with whatever directory you want to use
git clone https://github.com/signebedi/gptty.git
cd gptty/

# now install the requirements
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Now, you can verify it is working by running gptty --help. If you experience an error, try configuring the app.

Configuration

gptty reads configuration settings from a file named gptty.ini, which the app expects to be located in the same directory that you are running gptty from unless you pass a custom config_file. The file uses the INI file format, which consists of sections, each with its own key-value pairs.

Key Type Default Value Description
api_key String "" The API key for OpenAI's GPT service
gpt_version String "3" The version of GPT to use
your_name String "question" The name of the input prompt
gpt_name String "response" The name of the generated response
output_file String "output.txt" The name of the file where the output will be saved
model String "text-davinci-003" The name of the GPT model to use
temperature Float 0.0 The temperature to use for sampling
max_tokens Integer 250 The maximum number of tokens to generate for the response
max_context_length Integer 5000 The maximum length of the input context

You can modify the settings in the configuration file to suit your needs. If a key is not present in the configuration file, the default value will be used. The [main] section is used to specify the program's settings.

[main]
api_key=my_api_key

This repository provides a sample configuration file assets/gptty.ini.example that you can use as a starting point.

Usage

Chat

The chat feature provides an interactive chat interface to communicate with ChatGPT. You can ask questions and receive responses in real-time.

To start the chat interface, run gptty chat. You can also specify a custom configuration file path by running:

gptty chat --config_path /path/to/your/gptty.ini

Inside the chat interface, you can type your questions or commands directly. To view the list of available commands, type :help, which will show the following options.

Metacommand Description
:help Display a list of available commands and their descriptions.
:quit Exit ChatGPT.
:logs Display the current configuration settings.
:context[a:b] Display the context history, optionally specifying a range a and b. Under development

To use a command, simply type it into the command prompt and press Enter. For example, use the following command to display the current configuration settings in the terminal:

> :configs

api_key: SOME_CONFIG_HERE
gpt_version: 3
your_name: question
gpt_name: response
output_file: output.txt
model: text-davinci-003
temperature: 0.0
max_tokens: 250
max_context_length: 5000

You can type a question into the prompt anytime, and it will generate a response for you. If you'd like to share context across queries, see the context section below.

Query

The query feature allows you to submit a single or multiple questions to ChatGPT and receive the answers directly in the command line.

To use the query feature, run something like:

gptty query --question "What is the capital of France?" --question "What is the largest mammal?"

You can also provide an optional tag to categorize your query:

gptty query --question "What is the capital of France?" --tag "geography"

You can specify a custom configuration file path if needed:

gptty query --config_path /path/to/your/gptty.ini --question "What is the capital of France?"

Remember that gptty uses a configuration file (by default gptty.ini) to store settings like API keys, model configurations, and output file paths. Make sure you have a valid configuration file before running gptty commands.

Context

Tagging text for context when using the chat and query subcommands in this app can help improve the accuracy of the generated responses. Here's how the app handles context with the chat subcommand:

  1. Identify the context of your question or statement.
  2. Assign a tag to that context. The tag can be a word or short phrase that describes the context like bananas or shakespeare.
  3. Include the tag in your input message by prefixing it with [tag]. For example, if the context of your question is "cooking," you can tag it as [cooking]. Make sure to use the same tag consistently for all related queries.
  4. The application will save your tagged question and response in the output file specified in the code output file.
  5. When asking subsequent questions on the same topic, provide the tag in your input message in order to retrieve the relevant context for the generated response.

Here is an example of what this might look like, using questions tagged as [shakespeare]. Notice how, in the second question, the name 'William Shakespeare' is not mentioned at all.

context example

When you are using the query subcommand, follow the same steps described above but, instead of prepending the text of your questions with your desired tag, use the --tag option to include the tag when submitting your query. For example, if the context of your question is "cooking," you can use:

gptty --question "some question" --tag cooking

The application will save your tagged question and response in the output file specified in the config file.

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