SilenceSense

SilenceSense is a web application that detects silences in audio files using Voice Activity Detection (VAD). The project consists of a React frontend for the user interface and a Flask backend for processing audio files.

Table of Contents

• Prerequisites
• Backend Setup
• Frontend Setup
• Running the Application
• Testing
• Deployment

Prerequisites

Ensure you have the following installed:

• Python 3.x
• Node.js and npm (or Yarn)

Backend Setup

1. Clone the repository:

   git clone https://github.com/yourusername/silencesense.git
   cd silencesense

2. Navigate to the backend directory:

   cd backend

3. Install the required Python packages:

   pip install -r requirements.txt

4. Run the Flask application:

   python app.py

   The backend will be running on http://localhost:5000.

Frontend Setup

1. Navigate to the frontend directory:

   cd ../frontend

2. Install the required Node.js packages:

   npm install

   Or if you use Yarn:

   yarn install

3. Start the React application:

   npm start

   Or if you use Yarn:

   yarn start

   The frontend will be running on http://localhost:3000.

Running the Application

1. Ensure both the Flask backend and the React frontend are running.
2. Open your browser and go to http://localhost:3000 to interact with the application.

Testing

For testing the backend, you can use tools like curl or Postman to send requests to the Flask API.

For frontend testing, use the built-in React testing utilities or other libraries like Jest.

Deployment

To deploy the application, consider the following steps:

1. Backend Deployment:

   • Use platforms like Heroku, AWS, or Google Cloud to host the Flask application.

2. Frontend Deployment:

   • Deploy the React application using Vercel, Netlify, or any static site hosting service.

3. Configure Environment Variables:

   • Ensure that environment variables for production are set correctly in both the frontend and backend deployments.