Quivr-Whisper is a web application that allows users to ask questions via audio input. It leverages OpenAI's Whisper model for speech transcription and synthesizes responses using OpenAI's text-to-speech capabilities. The application queries the Quivr API to get a response based on the transcribed audio input.

• Audio input for asking questions
• Speech transcription using OpenAI's Whisper model
• Integration with Quivr API for intelligent responses
• Speech synthesis of the response for audio playback

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

What things you need to install the software and how to install them:

• Python 3.6+
• pip for Python 3
• Flask
• OpenAI Python package
• Requests package

A step by step series of examples that tell you how to get a development environment running:

1. Clone the repository to your local machine.

git clone https://github.com/stangirard/quivr-whisper.git
cd Quivr-talk

2. Install the required packages.

pip install flask openai requests python-dotenv

3. Create a .env file in the root directory of the project and add your API keys and other configuration variables.

OPENAI_API_KEY='your_openai_api_key'
QUIVR_API_KEY='your_quivr_api_key'
QUIVR_CHAT_ID='your_quivr_chat_id'
QUIVR_BRAIN_ID='your_quivr_brain_id'
QUIVR_URL='https://api.quivr.app' # Optional, only if different from the default

4. Run the Flask application.

flask run

Your app should now be running on http://localhost:5000.

To use Quivr-talk, navigate to http://localhost:5000 in your web browser, click on "Ask a question to Quivr", and record your question. Wait for the transcription and response to be synthesized, and you will hear the response played back to you.