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.
uivr-whisper.mp4
- 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:
- Clone the repository to your local machine.
git clone https://github.com/stangirard/quivr-whisper.git
cd Quivr-talk- Install the required packages.
pip install flask openai requests python-dotenv- Create a
.envfile 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- Run the Flask application.
flask runYour 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.