• Introduction
• Features
• Installation
  • Windows
  • macOS
  • Linux
• Usage
  • Running the Streamlit App
• Contributing
• License

Local LLMBot is a chat application built with Streamlit and the Ollama API to simulate a chat with a local language model. The app provides an intuitive interface for managing multiple chat sessions and interacting with the model.

• Create and manage multiple chat sessions
• Generate responses using the Ollama model
• Intuitive user interface for displaying chat history
• Sidebar for chat session management

• Python 3.7 or higher
• pip package manager

Before installing the required Python dependencies, ensure you have Ollama installed and properly configured.

1. Install Ollama

   Follow the official instructions from the Ollama Offical Website to install the ollama3 package.

2. Configure Ollama

   ollama run llama3

1. Clone the Repository

   git clone https://github.com/Kevoyuan/LLAMA3.git
   cd LocalLLMBot

2. Create and Activate Virtual Environment

   python -m venv llama3
   .\llama3\Scripts\activate

3. Install Dependencies

   pip install -r requirements.txt

1. Activate the Virtual Environment

   Windows:

   .\llama3\Scripts\activate

   macOS/Linux:

   source llama3/bin/activate

2. Run the Streamlit App

   streamlit run app.py

3. Access the App Open your web browser and navigate to http://localhost:8501.

Contributions are welcome! Please fork the repository and create a pull request with your changes. Ensure that your code adheres to the project's coding standards and includes appropriate tests.