Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/stangirard/quivr-whisper
Talk to your second brain personal assistant using speech ðŸ§
https://github.com/stangirard/quivr-whisper
assistant gpts openai personal quivr speech transcribe tts whisper
Last synced: about 2 months ago
JSON representation
Talk to your second brain personal assistant using speech ðŸ§
- Host: GitHub
- URL: https://github.com/stangirard/quivr-whisper
- Owner: StanGirard
- Created: 2023-11-06T23:28:35.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-11-06T23:54:52.000Z (about 1 year ago)
- Last Synced: 2024-10-12T19:46:48.640Z (2 months ago)
- Topics: assistant, gpts, openai, personal, quivr, speech, transcribe, tts, whisper
- Language: JavaScript
- Homepage: https://quivr.app
- Size: 8.79 KB
- Stars: 66
- Watchers: 4
- Forks: 8
- Open Issues: 0
-
Metadata Files:
- Readme: Readme.md
Awesome Lists containing this project
README
# Quivr-Whisper
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.
https://github.com/StanGirard/quivr-whisper/assets/19614572/9cc270c9-07e4-4ce1-bcff-380f195c9313
## Features
- 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
## Getting Started
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
### Prerequisites
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
### Installing
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.
```bash
git clone https://github.com/stangirard/quivr-whisper.git
cd Quivr-talk
```
2. Install the required packages.
```bash
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.
```env
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.
```bash
flask run
```
Your app should now be running on `http://localhost:5000`.
## Usage
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.