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How to Create a Voice Chatbot locally on your browser.

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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