Introduction to GPT Computer Assistant (GCA)
GPT Computer Assistant (GCA) is an innovative project aimed at broadening the accessibility of the ChatGPT experience to Windows and Linux users. Initially designed as a MacOS application, GCA has been seamlessly brought to other operating systems, ensuring consistency in performance and usability. It operates as a Python library, and future developments aim to introduce native installation scripts like .exe files for even easier setup.
Powered by Upsonic Tiger, GCA leverages a sophisticated function hub for LLM (large language model) agents, streamlining tasks and optimizing workflows.
Installation and Usage
GCA requires Python 3.10 or 3.11 for installation. To make use of GCA, users can execute these command lines:
pip install 'gpt-computer-assistant[base]'
pip install 'gpt-computer-assistant[api]'
After installation, users can activate GCA by typing:
computerassistant --api
LLM Settings
GCA empowers users with the ability to manage large language models and API keys effectively. By utilizing a few Python commands, like remote.save_models("gpt-4o") and remote.save_openai_api_key("sk-**"), users can save and configure models and keys for their personalized needs.
Characteristic API
GCA offers API functionality to personalize and modify the assistant’s characteristics. Users can change the assistant's name and developer identity through commands like:
remote.change_name("X Intelligence")
remote.change_developer("X Company")
Connect Your Functions API
GCA also allows users to extend its capabilities by connecting additional functions. You can install libraries like 'numpy' or define custom functionalities as Python functions:
# Adding functionality as a Python function:
@remote.custom_tool
def my_server_status() -> bool:
"""
Check the server status.
"""
return True
Interact with User API
This feature enables GCA to engage with users and their computers for an interactive experience. With its user input API, users can initiate consulting processes and automate checking or retrieving configurations:
output = remote.input("Extract the user redis config file.", screen=False)
print(output)
Use Cases and Capabilities
GCA has various predefined capabilities such as local speech-to-text and text-to-speech functionalities, operations on screen elements, interaction with system audio, and the ability to write and execute Python or shell scripts. It also supports search engines and Telegram integration, enhancing user interaction and information management.
Predefined Agents
GCA comes with predefined teams, such as internet search and report teams, and allows users to add custom agents tailored to specific tasks.
Roadmap and Future Plans
The future of GCA looks promising with the completion of many enhancements by Q2 2024. Users can look forward to new features, including native applications for different operating systems, improved interaction modes, and deep integration such as facial recognition.
Community and Contribution
GCA is supported by a dedicated community of contributors. Developers and users alike are encouraged to join the community, contribute ideas, and innovate on existing functionalities to foster further advancements of this versatile assistant.
The GPT Computer Assistant project exemplifies how advancements in AI can be harnessed to create versatile tools applicable across a variety of platforms, driving productivity and enhancing the AI interaction experience for users worldwide.