Skip to main content

A Python-based CLI tool to quickly interact with OpenAIs GPT models instead of relying on the web interface.

Project description

qprom a.k.a Quick Prompt

OS RunsOn Open Source

qprom

A Python-based CLI tool to quickly interact with OpenAI's GPT models instead of relying on the web interface.

Table of Contents

  1. Description
  2. Installation
  3. Setup
  4. Usage
  5. Todos
  6. License

Description

qprom is a small project that lets you interact with OpenAI's GPT-4 and 3.5 chat API, quickly without having to use the web-ui. This enables quicker response times and better data privacy

Installation

pip install qprom

Setup

Make sure you have your OpenAI API key.

When running qprom the script tries to fetch the OpenAI API key from a credentials file located in the .qprom folder within the user's home directory. If the API key is not found in the credentials file, the user is prompted to provide it, and the provided key is then stored in the aforementioned credentials file for future use.

Usage

Argument Type Default Choices Description Optional
-p String None None Option to directly enter your prompt (Do not use this flag if you intend to have a multi-line prompt.) yes
-m String gpt-4 gpt-3.5-turbo, gpt-4 Option to select the model yes
-t Float 0.3 Between 0 and 2 Option to configure the temperature yes
-v Boolean False None Enable verbose mode yes

Usage

qprom -p <prompt> -m <model> -t <temperature> -v
  • <prompt>: Replace with your prompt
  • <model>: Replace with either gpt-3.5-turbo or gpt-4
  • <temperature>: Replace with a float value between 0 and 2
  • -v: Add this flag to enable verbose mode

For example:

qprom -p "Translate the following English text to French: '{text}'" -m gpt-4 -t 0.7 -v

This will run the script with the provided prompt, using the gpt-4 model, a temperature of 0.7, and verbose mode enabled.

Multi line prompting

To facilitate multi-line input for the prompt, invoke qprom without utilizing the -p parameter. This will prompt you for your input at runtime, where you can provide multiple lines as needed. To signal the end of your input, simply enter the string 'END'.

qprom

This will run qprom with default values model: gpt-4, a temperature of 0.7 and ask for the prompt during runtime.

Todos

  • Testing
  • Add conversation mode
  • Add option to select default model in config
  • Add option to set the token limit for the conversation modes history
  • Add option to disable streaming and only print the full response

Bug reports:

License

MIT Link

Support me :heart: :star: :money_with_wings:

If this project provided value, and you want to give something back, you can give the repo a star or support by buying me a coffee.

Buy Me A Coffee

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

qprom-0.5.1.tar.gz (7.9 kB view details)

Uploaded Source

Built Distribution

qprom-0.5.1-py3-none-any.whl (7.4 kB view details)

Uploaded Python 3

File details

Details for the file qprom-0.5.1.tar.gz.

File metadata

  • Download URL: qprom-0.5.1.tar.gz
  • Upload date:
  • Size: 7.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for qprom-0.5.1.tar.gz
Algorithm Hash digest
SHA256 5b36b831490d063f167e923f8de96acf8f456e5b68d2df7d29904f6bebf565ad
MD5 2b46df45665f65b3ebf1bea04d275c1a
BLAKE2b-256 dbf6514af3c55ec992f6b30afb6493d6ebe8f13f5f936fbfdb0e598bacb04387

See more details on using hashes here.

File details

Details for the file qprom-0.5.1-py3-none-any.whl.

File metadata

  • Download URL: qprom-0.5.1-py3-none-any.whl
  • Upload date:
  • Size: 7.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for qprom-0.5.1-py3-none-any.whl
Algorithm Hash digest
SHA256 60534ed047005cc43cf659488ca39e5e9609d7d9e0d5910ea2f8375db67487ce
MD5 e7b0d5c7a62467ee1282bfe6a86b7824
BLAKE2b-256 6203b60fdc392e19f363f1e63e8869005027ddd449d7ed2ab3d7a158594cb8ee

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page