gpt-computer-assistant 0.22.3

GPT

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Intelligence development framework

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GPT Computer Assistant

Hi, this is an alternative work for providing ChatGPT MacOS app to Windows and Linux. In this way this is a fresh and stable work. You can easily install as Python library for this time but we will prepare a pipeline for providing native install scripts (.exe).

Powered by Upsonic Tiger 🐅 A function hub for llm agents.

1. Install and run

*Python 3.9 or higher is required

pip install 'gpt-computer-assistant[base]'
pip install 'gpt-computer-assistant[api]'

To run gpt-computer-assistant, simply type

computerassistant --api

2. LLM Settings

from gpt_computer_assistant.remote import remote

remote.save_models("gpt-4o")
remote.save_openai_api_key("sk-**")

3. Characteristic API

# Name of the assitant:
remote.change_name("X Intelligence")

#Developer personna of the assistant:
remote.change_developer("X Company")

4. Connect Your Functions API

# Installing an library:
remote.install_library("numpy")



# Adding functianility as python functions:
@remote.custom_tool
def my_server_status() -> bool:
  """
  Check the server status.
  """
  return True

5. Interact with User API

remote.input

Talk with assistant, about user and computer. With this api you can create an consulting process.

`Hi, look to user window and return which app using now`

`Ask user to is user need any kind of supoprt`

`Extract the user redis config file.`

With this questions you will make a shortcut for your needs. You can collect informations from user computer or directly from user or user computer.

output = remote.input("Extract the user redis config file.", screen=False)
print(output)

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Usage

Use cases

Roadmap

Feature	Status	Target Release
Clear Chat History	Completed	Q2 2024
Long Audios Support (Split 20mb)	Completed	Q2 2024
Text Inputs	Completed	Q2 2024
Just Text Mode (Mute Speech)	Completed	Q2 2024
Added profiles (Different Chats)	Completed	Q2 2024
More Feedback About Assistant Status	Completed	Q2 2024
Local Model Vision and Text (With Ollama, and vision models)	Completed	Q2 2024
Our Customizable Agent Infrastructure	Completed	Q2 2024
Supporting Groq Models	Completed	Q2 2024
Adding Custom Tools	Completed	Q2 2024
Click on something on the screen (text and icon)	Completed	Q2 2024
New UI	Completed	Q2 2024
Native Applications, exe, dmg	Completed	Q3 2024
Collaborated Speaking Different Voice Models on long responses.	Completed	Q2 2024
Auto Stop Recording, when you complate talking	Completed	Q2 2024
Wakeup Word	Completed	Q2 2024
Continuously Conversations	Completed	Q2 2024
Adding more capability on device	Completed	Q2 2024
Local TTS	Completed	Q3 2024
Local STT	Completed	Q3 2024
Tray Menu	Completed	Q3 2024
Global Hotkey	On the way	Q3 2024
DeepFace Integration (Facial Recognition)	Planned	Q3 2024

Capabilities

At this time we have many infrastructure elements. We just aim to provide whole things that already in ChatGPT app.

Capability	Status
Local LLM with Vision (Ollama)	OK
Local text-to-speech	OK
Local speech-to-text	OK
Screen Read	OK
Click to and Text or Icon in the screen	OK
Move to and Text or Icon in the screen	OK
Typing Something	OK
Pressing to Any Key	OK
Scrolling	OK
Microphone	OK
System Audio	OK
Memory	OK
Open and Close App	OK
Open a URL	OK
Clipboard	OK
Search Engines	OK
Writing and running Python	OK
Writing and running SH	OK
Using your Telegram Account	OK
Knowledge Management	OK
Add more tool	?

Predefined Agents

If you enable it your assistant will work with these teams:

Team Name	Status
search_on_internet_and_report_team	OK
generate_code_with_aim_team_	OK
Add your own one	?

Contributors