Welcome to the AI Development Toolkit repository. This toolkit is designed to facilitate the development, interaction, and deployment of AI models, through Python interface and automation scripts. It includes a fast, simple yet highly usable CLI Chat Interface for OpenAI's GPT-4o, Anthropic's Claude 3.5 Sonnet, and Mistral's Mixtral-8x7b. Plus a basic README Generator script to streamline project documentation processes.
- CLI Chat Interface for OpenAI's GPT-4o: A user-friendly Python-based command-line interface for interacting with OpenAI's GPT-4o model. It supports multiline input, file upload, recursive directory upload, and enhanced output formatting.
- CLI Chat Interface for Anthropic's Claude 3.5 Sonnet: A user-friendly Python-based command-line interface for interacting with Anthropic's Claude 3.5 Sonnet model. It supports multiline input, file upload, recursive directory upload, and enhanced output formatting.
- CLI Chat Interface for Mistral's Mixtral-8x7b: A user-friendly Python-based command-line interface for interacting with Mistral's Mixtral-8x7b model. It supports multiline input, file upload, recursive directory upload, and enhanced output formatting.
- README Generator: A Python script that automates the generation of
README.mdfiles for projects by processing text files within a directory and leveraging OpenAI's API for content creation.
- Python 3.10 or higher
openai,prompt_toolkit,rich, andtiktokenPython packages for the GPT-4o Chat Interfaceanthropic,prompt_toolkit,rich, andtiktokenPython packages for the Claude 3.5 Sonnet Chat Interfacegroq,prompt_toolkit,rich, andtiktokenPython packages for the Mixtral-8x7b Chat InterfaceopenaiPython package for the README Generator
- Clone this repository to your local machine.
- Install the required Python packages for the respective tools you intend to use:
pip3 install -r chatbot_requirements.txt
pip3 install -r claude_requirements.txt
pip3 install -r groqbot_requirements.txt
pip3 install -r readmemaker_requirements.txt-
Create/configure your vendor API key(s):
-
Export your API key(s) as an environment variable.
chatbot.pyleverages the OpenAI API so to usechatbotyou would have to add the following to your.bashrcor.zshrcfile:export OPENAI_API_KEY="your-unique-key-here"claude.pyleverages the Anthropic API so to useclaudeyou would have to add the following to your.bashrcor.zshrcfile:export ANTHROPIC_API_KEY="your-unique-key-here"groqbot.pyleverages the Groq API so to usegroqbatyou would have to add the following to your. 8924 bashrcor.zshrcfile:export GROQ_API_KEY="your-unique-key-here"
Navigate to the directory containing chatbot.py and run:
python3 chatbot.pyFollow the on-screen instructions to interact with GPT-4o.
Navigate to the directory containing claude.py and run:
python3 claude.pyFollow the on-screen instructions to interact with Claude 3.5 Sonnet.
Navigate to the directory containing groqbot.py and run:
python3 groqbot.pyFollow the on-screen instructions to interact with Mixtral-8x7b.
Navigate to the directory containing readmemaker.py and run:
python3 readmemaker.pyThe script will process text files in the directory and subdirectories, generating a README.md file.
Contributions to improve the toolkit or add new features are welcome. Please feel free to open an issue or submit a pull request.
This project is licensed under the MIT License - see the LICENSE file for details.
You can install each project by navigating into its directory and running:
pip install .Alternatively, you can run the install_all script:
python3 install_all.pyEither way, once done, each of the scripts can be invoked by name.
For more detailed instructions on installing specific versions of the individual scripts, please refer to the README.md files in the subdirectories.