The Ollama Chatbot is an AI-powered web application that facilitates real-time interaction with users. Using the advanced Ollama Llama 2 model, this chatbot is built with Flask for the backend and HTML, CSS, and jQuery for a responsive and user-friendly interface. It supports instant messaging, chat history, and can be customized with additional data to answer specific questions, making it ideal for various applications, including educational support.
- To run this deep learning based chatbot you need to download the llama2:latest from the link given below:
- Download llama2:latest
- I downloaded this in the ubuntu 20.04 wsl
- You can download it on windows too so no issues there.
- Real-time Messaging: Instantaneous chat interaction with the bot.
- Chat History: View and scroll through previous conversations.
- User-friendly Interface: Designed for easy navigation and interaction.
- Responsive Design: Works seamlessly across devices.
- Chat History Storage: Stores chat history in
chat_history.jsonfor persistent conversation history.
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Clone the repository:
git clone https://github.com/Shrinkhal01/CHATBOT-LLama-2 cd ollama-chatbot
Install dependencies:
bash -Copy code -pip install flask requests -Download the Ollama Llama 2 model: (https://ollama.com/library/llama2) -You can download the pre-trained Ollama Llama 2 model from the Ollama GitHub repository.
-Run the application:
-bash -Copy code -python app.py -Open your web browser:
-Navigate to http://localhost:5000 to start using the chatbot.
-File Structure -app.py: Backend Flask application handling bot interactions. -templates/index.html: Frontend HTML providing the chat interface. -static/: -artificial-intelligence.png: Bot avatar image. -user.jpg: User avatar image. -chat_history.json: Stores chat history for persistent conversations. -Usage -Sending Messages: -Type your message in the input field and press Enter or click Send to send it.
-Viewing Chat History: -Scroll through the chat history displayed on the left side of the interface.
-Screenshots
License This project is licensed under the MIT License. See the LICENSE file for details.
-Contributing -Feel free to contribute to this project! Fork it and submit a pull request with any improvements or features you'd like to add.
About -This project was developed by Shrinkhal. Contact me at [email protected] for any questions or feedback.