https://github.com/chiragjoshi12/llama3-chat-interface

A Streamlit-based chat interface using Llama 3.1 model via Groq API.
https://github.com/chiragjoshi12/llama3-chat-interface

chatbot chiragjoshi groq-ai groq-api llama3 streamlit

Last synced: 7 months ago
JSON representation

A Streamlit-based chat interface using Llama 3.1 model via Groq API.

• Host: GitHub
• URL: https://github.com/chiragjoshi12/llama3-chat-interface
• Owner: chiragjoshi12
• Created: 2024-07-24T07:39:40.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-07-24T08:24:21.000Z (about 1 year ago)
• Last Synced: 2025-03-26T04:43:20.636Z (7 months ago)
• Topics: chatbot, chiragjoshi, groq-ai, groq-api, llama3, streamlit
• Language: Python
• Homepage: https://llama3-chat-interface.streamlit.app/
• Size: 398 KB
• Stars: 2
• Watchers: 0
• Forks: 0
• Open Issues: 0

Awesome Lists containing this project

README

          
# Llama 3.1 AI Chat Interface

This repository contains a Streamlit-based chat interface utilizing the Llama 3.1 model through the Groq API. The app allows users to interact with different versions of the Llama 3.1 model and receive responses based on their prompts.

![Demo Image](img/demo.png)

***You can try the live [application here](https://llama3-chat-interface.streamlit.app/).***

## Features

- **Model Selection:** Choose from different Llama 3.1 models.

- **Chat Interface:** Enter prompts and get responses from the selected model.

- **Error Handling:** Displays appropriate messages for errors or missing prompts.

## Setup

1. **Clone the Repository:**

   ```bash

   git clone https://github.com/your-username/your-repo-name.git

   cd your-repo-name

2. **Install Dependencies:**

    

    ```bash

    pip install -r requirements.txt

3. **Get Groq API Key:**

    Sign up for an account at [Groq](https://groq.com/) and obtain your API key. 



4. **Configure Environment Variables:**

    Create a `.env` file in the root directory of the project with the following content:

    ```bash

    GROQ_API_KEY=

5. **Run the Application:**

    Start the Streamlit app by running:

    ```bash

    streamlit run app.py

---

Readme made with 💖 using [README Generator by Chirag Joshi](https://github.com/chiragg-ai/)