Voice Command App

This Voice Command App is a web-based application that captures voice input, transcribes it into text, and generates a response using an AI model. The application uses Flask for the backend, Google Cloud Speech-to-Text API for transcription, and OpenAI's GPT model for generating responses.

Features

• Voice Recording: Record audio using the browser.
• Transcription: Convert recorded audio into text.
• AI Response: Generate responses to transcribed text using OpenAI's GPT model.

Requirements

Frontend

• Basic HTML and CSS
• Google Fonts (Roboto)

Backend

• Python 3.x
• Flask
• PyAudio
• Google Cloud Speech-to-Text API
• OpenAI API
• dotenv for environment variable management

Installation

1. Clone the Repository

git clone https://github.com/your-username/voice-command-app.git
cd voice-command-app

2. Set Up Virtual Environment

python3 -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`

3. Install Dependencies

pip install -r requirements.txt

4. Configure Environment Variables

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

OPENAI_API_KEY=your-openai-api-key
GOOGLE_APPLICATION_CREDENTIALS=/path/to/your/google-cloud-credentials.json

5. Run the Application

python app.py

Navigate to http://127.0.0.1:5000/ in your browser to use the app.

Usage

1. Click the "Start Recording" button on the webpage to begin recording.
2. The app will capture your voice, transcribe it, and display the transcribed text.
3. An AI-generated response will be displayed based on the transcribed text.

File Structure

• index.html: The front-end of the application.
• app.py: The Flask backend managing routes and API calls.
• voice_recognition.py: Handles recording audio, transcribing it using Google Cloud Speech-to-Text, and generating responses using OpenAI's GPT model.

License

This project is licensed under the MIT License.

Credits

• Frontend: Styled with custom CSS and Google Fonts.
• Backend: Built using Flask, Google Cloud Speech-to-Text, and OpenAI GPT-3.5.