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Voice Chatbot Example

This example demonstrates how to create a voice-enabled chatbot using Quivr, Flask, and OpenAI’s Whisper model. Users can ask questions via audio input and receive spoken responses.

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Features

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

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Prerequisites

  • Python 3.6+
  • Flask
  • OpenAI Python package
  • Requests package

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Installation

  1. Clone the repository:

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

  2. Install dependencies:

    pip install flask openai requests python-dotenv

  3. Configure environment 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='http://localhost:8000'  # Update this to your local or deployed Quivr instance URL

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Usage

  1. Start the Flask application:

    flask run

  2. Navigate to http://localhost:5000

  3. Click “Ask a question to Quivr”

  4. Record your question

  5. Wait for transcription and response

  6. Listen to the synthesized response

For the complete example code, visit our GitHub repository.