Local AI Assistant

Unlock the Power of Conversational AI

Imagine having a personal AI assistant at your fingertips, ready to answer your questions, provide information, and even entertain you. Welcome to Local AI Assistant, a Streamlit app that harnesses the power of Ollama (for serving LLMs locally) and LangChain to bring conversational AI to your local machine.

Table of Contents

• Installation and Setup
• Usage
• Troubleshooting
• Contributing
• License

Installation and Setup

Step 1: Install Ollama

To use this project, you need to install Ollama on your system. Follow these steps:

1. Install the Ollama CLI by running the following command in your terminal:

   pip install ollama

2. Verify the installation by running:

   ollama --version

Step 2: Pull Models

Pull the required models for the project by running:

ollama pull ${modelName}

Step 3: Clone the Repository

Clone this repository using Git:

git clone git@github.com:taofiqsulayman/local-ai-assistant.git

Step 4: Create and Activate a Virtual Environment

Create a new virtual environment for the project:

python -m venv venv

Activate the virtual environment:

• On Windows:

  venv\Scripts\activate

• On macOS/Linux:

  source venv/bin/activate

Step 5: Install Requirements

Install the required dependencies by running:

pip install -r requirements.txt

Step 6: Run the App

Run the Streamlit app by executing:

streamlit run app.py

Usage

1. Select a model from the dropdown list.
2. Type your message in the chat input field.
3. Press Enter to send the message and receive a response from the AI assistant.

Troubleshooting

• If you encounter any issues with Ollama, refer to the Ollama documentation.
• For Streamlit-related issues, check the Streamlit documentation.

Contributing

Contributions are welcome! If you'd like to contribute to this project, please fork the repository, make changes, and submit a pull request.