BuddyAssistant 0.1

BuddyAssistant is a conversational AI assistant.

BuddyAssistant

Overview

BuddyAssistant is a conversational AI assistant built using Python, utilizing the Ollama framework. The assistant can manage conversations, execute functions, and store chat history. This project is designed to facilitate interactions in a user-friendly way while allowing for extensibility through tools and functions.

Features

• Conversational Threads: Create and manage multiple conversation threads with unique instructions.
• Function Execution: Dynamically import and execute functions based on user queries.
• Storage: Persist conversations and assistant state using local storage.
• Custom Instructions: Define global and thread-specific instructions for personalized interactions.
• Emoji Support: Optionally include emojis in responses to enhance user experience.

Requirements

To run this project, you will need the following Python packages:

• ollama

You can install these packages using:

pip install -r requirements.txt

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/my-assistant.git
   cd my-assistant
   

2. Install the required packages:

   pip install -r requirements.txt
   

3. Ensure you have the necessary model downloaded: If you're using ollama, make sure to pull the required model:

   ollama pull test_model
   

   Replace with the actual model (personally i use llama3.2)

Usage

To create and interact with the assistant, you can use the following example:

from BuddyAssistant import BuddyAssistant

# Initialize the assistant
assistant = BuddyAssistant(
    name="My Assistant",
    model="test_model",
    description="A friendly conversational assistant.",
    global_instruction="Always respond politely."
)

# Create a new thread
thread_id = assistant.create_thread(thread_instruction="Help me with my questions.")

# Chat with the assistant
response = assistant.chat("Hello, how can you assist me?", thread_id)
print(response.content)

Running tests

To ensure the functionality of the assistant, you can run the unit tests included in the project. Use the following command:

pytest tests/

Contributing

Contributions are welcome! If you have suggestions for improvements or new features, please open an issue or submit a pull request.

Acknowledgements

• Thank you to the Ollama team for providing a powerful framework for building conversational agents.

• Thanks to the open-source community for their valuable resources and libraries.