https://github.com/ananthakrishnan12/ai-powered-q-a-bot
https://github.com/ananthakrishnan12/ai-powered-q-a-bot
Last synced: about 2 months ago
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- Host: GitHub
- URL: https://github.com/ananthakrishnan12/ai-powered-q-a-bot
- Owner: Ananthakrishnan12
- Created: 2025-03-17T06:30:59.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2025-03-17T06:51:27.000Z (2 months ago)
- Last Synced: 2025-03-17T07:37:32.711Z (2 months ago)
- Language: Python
- Size: 5.47 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# AI-Powered Q&A Chatbot:
Llama 2 AI Chatbot is a conversational AI powered by Meta's Llama 2 model, integrated with LangChain and Streamlit. This chatbot allows users to interact with the model in real time via a web interface.
## 🚀 Features
- Uses **Llama 2 (7B)** model for natural language processing.
- Integrated with **LangChain** for seamless prompt engineering.
- **Streamlit** web UI for user-friendly interaction.
- Deployed using **ngrok** for external access.
## 📛 Installation
### Step 1: Clone the Repository
```bash
git clone https://github.com/yourusername/llama2-chatbot.git
cd llama2-chatbot
```
### Step 2: Install Dependencies
```bash
pip install langchain openai llama-cpp-python streamlit streamlit_chat langchain_community pyngrok
```
### Step 3: Download Llama 2 Model
Download the **Llama 2 7B GGUF** model file:
```bash
wget -O llama-2-7b.gguf https://huggingface.co/TheBloke/Llama-2-7B-GGUF/resolve/main/llama-2-7b.Q4_K_M.gguf
```
## 🛠️ Usage
### Run the Chatbot
```bash
streamlit run app.py
```
### Deploy with ngrok
1. Authenticate ngrok (replace with your token):
```bash
ngrok authtoken YOUR_NGROK_AUTH_TOKEN
```
2. Start ngrok tunnel:
```bash
ngrok http 8501
```
3. Copy the **public URL** provided by ngrok and open it in a browser.
## 🎥 Demo
