Build a Smart Voice Assistant with Open AI's ChatGPT API!

Table of Contents

1. Introduction
2. Installing the Required Libraries
3. Loading the API Key
4. Setting up the Model
5. Transcribing Audio
6. Converting Text to Speech
7. Creating the Interface
8. Asking Questions
9. Conclusion

Introduction

In this article, we will explore how to Create a voice assistant using chat GPT and Google's text-to-speech module. We will cover the installation process, loading the necessary libraries and API key, setting up the model, transcribing audio, converting text to speech, and creating an interface to Interact with the voice assistant. We will also demonstrate how to ask questions and obtain audio output. So let's get started!

Installing the Required Libraries

To begin, we need to install the necessary libraries for this project. We will need Whispers, Gredio, OpenAI, and Google's text-to-speech module. Make sure to run these installations on a GPU-Based instance for optimal performance.

Loading the API Key

Next, we will load the API key required for the chat GPT model. This key is stored in a JSON file named "GPT_secret_key.json". We will extract the key from the JSON file and assign it to the variable "openai.API_key".

Setting up the Model

Now, let's load the base model of Whispers into a variable called "model". We will check if the model is using a GPU by calling the "model.device" command. This is an important step as we want our predictions to happen on a GPU for faster processing.

Transcribing Audio

In this section, we will transcribe audio and pass it to the chat GPT API function we created earlier. We will also pass the output from the chat GPT API to Google's text-to-speech module to generate audio. We will use the log Mills spectrogram to represent the audio signals for speech-related tasks. Additionally, we will ensure that the data format and device are correct for the model to make predictions on the GPU.

Converting Text to Speech

Once the audio is decoded and transcribed, we can convert the text output from chat GPT into speech using Google's text-to-speech module. We will save the generated audio in a temporary MP3 file named "temp.mp3".

Creating the Interface

To provide a user-friendly experience, we will create an interface using the radio module. The interface will have three outputs: Whispers' model output (speech to text), chat GPT's API output, and the actual MP3 file that Speaks out the result. We will define the inputs, outputs, set it to live mode, and launch the interface.

Asking Questions

Now it's time to ask questions to our voice assistant. Using the interface, we can input our questions through speech, and the assistant will provide audio and text responses. We can ask questions like "Who is the Current prime minister of India?" and "Who was the main actor in the movie Inception?"

Conclusion

In this article, we have learned how to create a voice assistant using chat GPT and Google's text-to-speech module. We covered the installation process, setting up the model, transcribing audio, converting text to speech, and creating an interface for interaction. By asking questions, we were able to receive audio and text responses from the voice assistant. With further customization, additional features and functionalities can be added to enhance the voice assistant's capabilities.

Highlights

• Create a voice assistant using chat GPT and Google's text-to-speech module.
• Install the required libraries and load the API key.
• Set up the model and transcribe audio.
• Convert text to speech and create an interface for interaction.
• Ask questions and receive audio and text responses from the voice assistant.

FAQ

Q: What libraries do I need to install for the voice assistant? A: You need to install Whispers, Gredio, OpenAI, and Google's text-to-speech module.

Q: Can I run the voice assistant on a CPU-based instance? A: It is recommended to use a GPU-based instance for faster processing. Running on a CPU-based instance may result in slower inference times.

Q: How do I ask questions to the voice assistant? A: Use the interface created with the radio module to input your questions through speech.

Q: Can I customize the voice assistant's responses? A: Yes, you can customize the responses by modifying the chat GPT model and the text-to-speech module.

Q: What are the outputs of the voice assistant? A: The voice assistant provides the Whispers' model output (speech to text), chat GPT's API output, and the actual MP3 audio file that speaks out the result.