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AI Voice Assistant (Flask + ReactJS)

This application utilizes OpenAI's API to transcribe audio inputs from the user, generate text-based responses, and synthesize these responses back into audio. It features a ReactJS frontend for user interaction and a Flask backend for handling the audio processing and API communication.

Demo of the App

AI.mp4

Prerequisites

Before you begin, ensure you have met the following requirements:

  • Python 3.8 or higher
  • Node.js and npm
  • An OpenAI API key

Installation

Clone this repository to your local machine:

git clone https://github.com/krisograbek/ai-voice-minimal
cd ai-voice-minimal

Setting up the Backend

Create a virtual environment in the back-end directory:

python -m venv venv

Activate the virtual environment:

  • On Windows: venv\Scripts\activate
  • On macOS/Linux: source venv/bin/activate

Install the required Python dependencies:

pip install -r requirements.txt

Create a .env file based on the provided .env.example. Replace OPENAI_API_KEY with your actual OpenAI API key.

Setting up the Frontend

Navigate to the frontend directory:

cd client

Install the required npm packages:

npm install

Running the Application

Starting the Backend Server

Ensure your virtual environment is activated, then run:

python app.py

This will start the Flask server on http://localhost:5000/.

Starting the Frontend Application

Open a new terminal window, navigate to the frontend directory, and run:

npm start

This will start the React application and open it in your default web browser at http://localhost:3000/.

Using the Application

Once both servers are running, go to http://localhost:3000/ in your browser. Click on the microphone icon to start recording your message. Click the stop icon to end the recording. The application will then transcribe your message, generate a response, and synthesize this response into audio. Listen to the synthesized response through the audio player that appears.