Speech to Text and Text to Speech with Google Generative AI Integration

This project demonstrates a simple web application that converts speech to text and text to speech using the annyang library. Additionally, it integrates with Google Generative AI to generate content based on the text input.

Features

• Speech to Text: Converts spoken words into text.
• Text to Speech: Converts text into spoken words.
• Send Text to Google Generative AI: Sends the text input to Google Generative AI and displays the generated content.

Prerequisites

• Node.js and npm installed on your machine.
• A valid Google API key with access to the Google Generative Language API.

Setup

1. Clone the Repository

   git clone https://github.com/ChandraShekar05/code-generator.git
   cd your-repo

2. Install Dependencies

   npm install

3. Set Up Environment Variables

   Create a .env file in the root directory and add your Google API key:

   GOOGLE_API_KEY=your_actual_google_api_key_here

4. Start the Server

   node app.js

Project Structure

• index.html: The main HTML file that contains the UI elements.
• index.js: The JavaScript file that handles speech recognition, text-to-speech, and communication with the server.
• app.js: The server-side code that handles requests to Google Generative AI.
• .env: The file containing environment variables (not included in the repository).

How to Run

1. Start the Server

   Ensure the server is running by executing:

   node app.js

2. Open the HTML File

   Open index.html in your web browser.

3. Use the Application

   • Click on "Start Speech to Text" to start converting speech to text.
   • Click on "Start Text to Speech" to convert the text in the textarea to speech.
   • Click on "Stop Text to Speech" to stop the text-to-speech conversion.
   • Click on "Send Text to Gemini" to send the text to Google Generative AI and display the generated content.

Troubleshooting

• API Key Issues: Ensure that the API key in your .env file is correct and has the necessary permissions.
• Server Errors: Check the server logs for any errors and ensure that the Google Generative Language API is enabled for your project.