https://github.com/akarshjha03/llama3.1-chatbot.
Create a Python AI chatbot using the Llama 3 model, running entirely on your local machine for privacy and control. With Ollama for managing the model locally and LangChain for prompt templates, this chatbot engages in contextual, memory-based conversations. Follow step-by-step instructions to set up, customize, and interact with your AI.
https://github.com/akarshjha03/llama3.1-chatbot.
chatbot llama3 machine-learning ollama python3
Last synced: 3 months ago
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Create a Python AI chatbot using the Llama 3 model, running entirely on your local machine for privacy and control. With Ollama for managing the model locally and LangChain for prompt templates, this chatbot engages in contextual, memory-based conversations. Follow step-by-step instructions to set up, customize, and interact with your AI.
- Host: GitHub
- URL: https://github.com/akarshjha03/llama3.1-chatbot.
- Owner: Akarshjha03
- Created: 2024-12-08T11:46:56.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-13T16:48:43.000Z (over 1 year ago)
- Last Synced: 2025-06-08T15:02:32.760Z (about 1 year ago)
- Topics: chatbot, llama3, machine-learning, ollama, python3
- Language: Python
- Homepage: https://github.com/ollama/ollama
- Size: 25.4 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 🤖 Local AI Chatbot with Llama 3.1 Model LLM 🦙
This project demonstrates how to create a Python-based AI chatbot using the Llama 3 model, running entirely on your local machine for enhanced privacy and control. By leveraging the Ollama tool to download and manage the model locally and the LangChain library for building prompt templates and conversation chains, this chatbot can engage in contextual conversations with memory retention. The guide includes step-by-step instructions for setting up the environment, downloading the model, and writing a Python script to interact with it, making it a perfect starting point for AI enthusiasts who value customization and data privacy. 🚀
## 🛠 Features
- **Privacy First**: Run the chatbot locally—no cloud dependency.
- **Customizable**: Modify and extend the chatbot as needed.
- **Memory**: The bot remembers conversation history for contextual replies.
---
## 📋 Prerequisites
Before starting, ensure you have:
- **Python 3.8+** 🐍
- **Ollama** installed for managing local LLMs.
- Basic knowledge of Python.
---
## 🚀 Getting Started
Follow these steps to set up your chatbot:
### 1️⃣ Install Ollama
Ollama allows you to run LLMs locally. Download and install it from the official website: [Ollama](https://ollama.ai).
### 2️⃣ Download the Llama 3 Model
After installing Ollama, use the following command to download the Llama 3 model:
```bash
ollama pull llama-3
```
### 3️⃣ Test the Model Locally
Verify the installation by running a test query:
```bash
ollama query "Hello, world!"
```
### 4️⃣ Install Required Python Libraries
Install the LangChain library for chaining prompts and interactions:
```bash
pip install langchain
```
### 5️⃣ Create the Python Script 🖥️
Here’s a basic script to set up your chatbot
### 6️⃣ Run Your Chatbot 🎉
Execute the script to start chatting with your local AI chatbot:
```bash
python chatbot.py
```
## 🛡️ Privacy
Your chatbot runs locally, ensuring that your data stays secure. 🛡️
# > **Note:** Find the actual source files in the **Releases** section of this repository.
## 🏗️ Future Enhancements
Add more advanced memory handling.
Integrate with external APIs for expanded functionality.
Create a GUI interface for better user experience.
## 🚧 Llama3.1-chatbot is under active development. Stay tuned for updates!
We're constantly improving and adding new features. Keep an eye on the Releases section for updates and new versions!
## 🤝 Contributing
Feel free to submit issues or pull requests to improve this project!
## 📜 License
This project is open-source under the MIT License.
Happy coding! 🚀