Skip to main content

A minimal GPT chat client in the terminal

Project description

TermQ

License: MIT unstable

A minimal GPT chat client in the terminal. A toy experiment with OpenAI's GPT API.

All code have only tested on macOS, not guaranteed to work on other platforms.

Prerequisites

export OPENAI_API_KEY=<your key>
python -m termq-venv
source termq-venv/bin/activate
pip install -r requirements.txt
# Optional, for PDF OCR if you want multi-language support
# Read more here: https://github.com/ocrmypdf/OCRmyPDF#languages
brew install tesseract-lang

Running

Usage: python script.py [OPTIONS]

Options:
  -c, --load-character FILE     Specify a character file location.
  --stream                      Enable streaming mode.
  -e, --load-engine TYPE        Specify an engine type, default is `gpt-3.5-turbo`.
  --tts                         Enable text-to-speech.
  -q, --question                Ask a question to the chatbot and get an answer directly.
  --help                        Show this message and exit.

Chat with GPT

Config setup

On first run, termq creates this config layout automatically:

~/.config/termq/
  characters/   # built-in presets copied from the package
  history/      # chat_history-YYYYMMDD-HHMMSS.json files

You can pass either a preset name (for example -c hal9000) or a full path to a custom character file.

Default Assistant

python chat.py
🎬 Example usage

https://github.com/tommyjtl/termchat/assets/1622557/fb5d111b-42fb-4899-aeb6-c97202847a6f

Specifiy a personality

python chat.py -c <character>
🎬 Example usage

https://github.com/tommyjtl/termchat/assets/1622557/9d4ae7d7-d62b-4e28-b428-6b676d3780aa

On-demand Terminal Q&A

python chat.py -q
🎬 Example usage

https://github.com/tommyjtl/termchat/assets/1622557/8b25b39f-3145-4ad8-886e-a39e3d165b9f

Chat with PDF

# Normal usage
python pdf.py -f <file>

# Add --ocr if your PDF doesn't have text layer, default OCR language is English
python pdf.py -f <file> --ocr

# Add --ocr-lang to specify OCR language
# For <lang>, use 3-digit ISO 639-2 Code, see more here: https://github.com/tesseract-ocr/tessdata
python pdf.py -f <file> --ocr --ocr-lang <lang>
🎬 Example usage

https://github.com/tommyjtl/termchat/assets/1622557/40162508-3263-406b-bb7e-27558ae8d618

Acknowledgments

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

termq-0.1.8.tar.gz (14.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

termq-0.1.8-py3-none-any.whl (15.5 kB view details)

Uploaded Python 3

File details

Details for the file termq-0.1.8.tar.gz.

File metadata

  • Download URL: termq-0.1.8.tar.gz
  • Upload date:
  • Size: 14.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for termq-0.1.8.tar.gz
Algorithm Hash digest
SHA256 7f67347c8e59e36486aa45f05eff58ae4dafd08938c7312219f17ec64fb5beb6
MD5 298740b55233c9baeadf29d627b5c39d
BLAKE2b-256 2b5be2b873a5a4d490994f102bea1a7419301ab1356e1e6c27584ea24e05597b

See more details on using hashes here.

File details

Details for the file termq-0.1.8-py3-none-any.whl.

File metadata

  • Download URL: termq-0.1.8-py3-none-any.whl
  • Upload date:
  • Size: 15.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for termq-0.1.8-py3-none-any.whl
Algorithm Hash digest
SHA256 1bede18185f05847f86f52fa412e7ef714d77fdf0f5448082fe4612ee4b50521
MD5 1f55e4be1d51062ef8d9a5eec8968b03
BLAKE2b-256 88ae62d8e120ff6d83e7deeb01618602d5f3be1b4b1ebd2eae194a0680a40bbf

See more details on using hashes here.

Supported by

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