This project implements a speech-to-text assistant named David that interacts with OpenAI's GPT-3.5-turbo model. The assistant can recognize speech, generate responses, capture the screen, and extract text from images.

Features

• Recognizes speech using Google's speech recognition API.
• Generates text responses using OpenAI's GPT-3.5-turbo model.
• Captures the screen and extracts text using OCR.
• Converts text to speech using OpenAI's text-to-speech API.

Prerequisites

• Python 3.6+
• OpenAI API Key
• Google Cloud Speech-to-Text API (for speech recognition)
• Tesseract OCR

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/david-assistant.git
   cd david-assistant

2. Create and activate a virtual environment:

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

3. Install the required packages:

   pip install -r requirements.txt

4. Install Tesseract OCR:

   • On macOS: brew install tesseract
   • On Ubuntu: sudo apt-get install tesseract-ocr
   • On Windows: Download and install from the official site.

5. Create an .env file and add your OpenAI API key:

   touch .env

   Plain text
   API_KEY=<your_openai_api_key>
   

6. Edit the chatbot.txt file:

   Hello, my name is <your_name>. You are my assistant, <assistant_name>.