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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.