Creating a voice chatbot might sound like a complex task, but with the right tools and guidance, it can be done quickly and easily. In this article, we’ll walk you through the steps to create a voice chatbot using the Llama 3.1 model and the Groq API. This guide is designed for beginners, so don’t worry if you have little to no programming experience.
What You’ll Need
• A computer with internet access
• Basic understanding of using the command line
• Python installed on your computer
• A Groq API key (you can sign up for one at the Groq website)
Step 1: Install Python and Git
First, make sure you have Python and Git installed on your computer.
Install Python
Go to python.org and download the latest version of Python. Follow the instructions to install it.
Install Git
Visit git-scm.com and download Git. Install it by following the on-screen instructions.
Step 2: Download the Project
We’ll start by downloading the project from GitHub.
Open Terminal or Command Prompt
• Windows: Search for “cmd” or “Command Prompt” in the start menu.
• Mac/Linux: Open the “Terminal” application.
Clone the Project
Type the following command to download the project:
Navigate to the project directory by typing:
cd Llama-Voice-Chat
Step 3: Set Up a Virtual Environment
A virtual environment helps manage dependencies and keeps them organized.
Create the Virtual Environment
Type the following command:
python -m venv venv
Activate the Virtual Environment
• Windows:
venv\Scripts\activate
• Mac/Linux:
source venv/bin/activate
Step 4: Install Project Dependencies
Dependencies are the libraries and tools your project needs to run.
Install Dependencies
Type the following command to install the necessary dependencies:
pip install -r requirements.txt
Step 5: Set Up Environment Variables
You’ll need to configure your Groq API key in an environment file.
Create a .env File
In the root directory of the project (where the requirements.txt file is located), create a new file named .env. Open this file and add your Groq API key like this:
GROQ_API_KEY=your_groq_api_key
Replace your_groq_api_key with the actual key you received from Groq.
Step 6: Run the Project
Now that everything is set up, you can start the web app.
Start the Web App
Type the following command to run your web app:
flask run
By default, the application will be available at http://127.0.0.1:5000/. Open this link in your web browser.
Step 7: Using the Web App
Chat with the Model
In your browser, you’ll see a chat interface. Type your messages into the chat box and interact with the language model.
Transcribe Audio Files
You can also upload audio files (such as m4a, mp3, wav) through the interface, and the app will transcribe them to text using the Groq API.
Project Structure
Here’s a brief overview of the project structure to help you understand the files and directories:
• uploads/: Directory to store uploaded audio files.
• templates/: HTML templates for the chat interface.
• index.html: Main HTML template for the chat interface.
• app.py: Main application file.
• requirements.txt: List of project dependencies.
• .env: Environment variables file (contains your Groq API key).
Summary
Congratulations! You’ve just created a voice chatbot using Llama 3.1 and the Groq API. Let’s recap the steps:
1. Install Python and Git: Essential tools for the project.
2. Download the Project: Use Git to clone the project from GitHub.
3. Set Up Environment: Create and activate a virtual environment, then install the dependencies.
4. Configure API Key: Create a .env file with your Groq API key.
5. Run and Use: Start the Flask web app and interact with the chatbot and audio transcription features.
By following these steps, you can set up a voice chatbot in just 15 minutes. Whether you’re looking to learn new skills or create a fun project, this guide provides a simple and straightforward way to get started.
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