Ollama Offline Chatbot Interface

A simple ChatGPT like chatbot interface that integrates with the Ollama model, allowing you to run commands and receive responses through a web-based UI.

Table of Contents

• Features
• Technologies Used
• Getting Started
• Installation
• Usage
• Credits

Features

• Interactive chatbot UI similar to ChatGPT.
• Run commands and receive responses in real-time.
• Responsive design for various screen sizes.
• Easy to set up and use.

Technologies Used

• Python - Backend framework (Django).
• HTML/CSS - Frontend interface.
• JavaScript - For handling user input and fetching responses.
• Ollama - Model integration for generating responses.

Getting Started

Follow these steps to set up the project on your local machine.

Prerequisites

Make sure you have the following:

• Linux/Mac/Windows CL (Recommended| RAM: 16 GB, Minimum: 8 GB | GPU: External, Minimum: APU(slower) | CPU: Octa-Core, Minimum: Quad-core | Storage: 20 GB, Minimum: 5 GB)
• Python (3.8 or above)
• Django
• Ollama (Ensure it's installed and configured correctly), Here's everything step by step:

Install Ollama

   curl -fsSL https://ollama.com/install.sh | sh

   ollama  serve

  ollama run llama3.2

• Anaconda or virtual environment (optional but recommended)

Installation

1. Clone the Repository

   git clone https://github.com/shakib75bd/ollama3.2_webUI
   cd ollama3.2_webUI

2. Create a Virtual Environment (Optional)

   conda create -n ollamaChatbot python=3.9
   conda activate ollamaChatbot

3. Install Required Packages Ensure you are in the project directory and run:

   pip install django

4. Start the Development Server

   python manage.py runserver

5. Access the Chatbot Interface Open your web browser and go to:

   http://127.0.0.1:8000
   

Usage

• Enter your command in the input field and click "Run Command" or press Enter.
• The chatbot will display the response in the chat box.

Credits

• Shakib Hossen Shanto, 2024