NEW OpenAI Text to Speech API - with No Code

BuildShip + Rowy
7 Nov 202305:34

TLDRIn this video, the creator demonstrates how to leverage OpenAI's new text-to-speech API in a no-code environment using BuildShip. The process involves setting up a workflow with an API trigger, utilizing OpenAI's TextGeneration node to generate text, and then applying the text-to-speech API to convert the text into an audio file. The tutorial guides viewers through the steps of adding nodes, configuring API keys, and using system prompts to standardize output. It also shows how to store the generated audio file and return a public URL for access. The video concludes by highlighting the flexibility and potential for customization with BuildShip, encouraging users to explore and create their own applications.

Takeaways

  • 🚀 OpenAI has launched a text to speech API, offering new possibilities for developers.
  • 📝 The tutorial demonstrates a no-code approach to integrating the API using BuildShip.
  • 🔧 Start by creating a workflow in BuildShip and adding an API trigger named 'LoveNodes'.
  • 🗝️ Use the OpenAI API key, which can be managed securely within BuildShip.
  • ✍️ Define a prompt for text generation, which can be dynamic based on incoming requests.
  • 📄 Add a system prompt to specify the type of output, such as 'Write a love note for 10 lines'.
  • 🔄 BuildShip allows for the rapid integration of new AI models without waiting for official node creation.
  • 📊 Copy and paste code snippets to generate nodes for the new Text to Speech API.
  • 📂 Store the generated speech as a base64 file using BuildShip's built-in storage or other platforms like Google Cloud or AWS.
  • 🔗 The output can be saved as a file and its public URL returned for use in front-end applications.
  • 📋 The script provides a step-by-step guide to leveraging the new AI model in a no-code environment.
  • 📈 BuildShip's flexibility enables further customization and expansion of the workflow with additional nodes and third-party tools.

Q & A

  • What is the main topic of the video?

    -The video discusses how to use OpenAI's new text to speech API in a no-code environment using BuildShip.

  • What is the first step in creating a workflow in BuildShip?

    -The first step is to create a workflow, give it a name, and add an API trigger as the starting point.

  • Which OpenAI API is used for text generation in the video?

    -The OpenAI TextGeneration API is used to create text for speech conversion.

  • How does one obtain the OpenAI API key for the workflow?

    -The OpenAI API key can be obtained from OpenAI and added to the secret manager in BuildShip.

  • What is the purpose of the system prompt in the TextGeneration node?

    -The system prompt is used to standardize the type of output generated by the node, in this case, it's for creating love nodes based on the given prompt.

  • How can the newly launched OpenAI Text to Speech API be integrated into BuildShip if it's not available as a pre-built node?

    -Users can create their own AI-generated nodes by copying and pasting the code snippet into the node generator, allowing them to rapidly integrate new models.

  • What is the output format of the Text to Speech API?

    -The output is a base64 string as a buffer, which can be saved to a file.

  • How can the generated speech file be stored and accessed?

    -The file can be saved using BuildShip's built-in storage or other platforms like Google Cloud or AWS, and its public URL can be returned for access.

  • What is the purpose of the 'speech.mp3' file in the video?

    -The 'speech.mp3' file is the output of the Text to Speech API, containing the audio generated from the text provided by the TextGeneration node.

  • How can the generated file be used in other applications?

    -The file's public URL can be returned and used in front-end applications or other apps, allowing for easy integration and usage.

  • What additional functionalities can be added to the workflow in BuildShip?

    -Additional functionalities include adding branch nodes, parallel nodes, and using third-party tools to email the generated file, with no limit to what can be built with BuildShip.

Outlines

00:00

🚀 Launching OpenAI's Text to Speech API with BuildShip

This paragraph introduces the new OpenAI text to speech API and demonstrates how to use it in a no-code environment with BuildShip. It guides the user through creating a workflow, adding an API trigger, and utilizing the OpenAI TextGeneration node. The user is instructed to input their API key, set a prompt for text generation, and standardize the output with a system prompt. The paragraph also explains how to integrate the newly launched Text to Speech API by creating a custom node, using the API key, model, and voice from the documentation, and inputting the text generated in the previous node. The process of saving the output as a base64 file and uploading it to BuildShip's storage is detailed, along with the steps to return the file's public URL for use in front-end applications. The paragraph concludes with a test of the workflow using Hopscotch, showcasing the generation of a love node based on a given prompt.

05:02

🌟 Expanding Workflows with BuildShip's Features

This paragraph discusses the potential for expanding the basic workflow with additional features such as branch and parallel nodes. It suggests using third-party tools for actions like emailing the generated file. The paragraph emphasizes the limitless possibilities with BuildShip and invites users to explore the available templates and share their creations. It ends with a call to action for users to engage with the platform and a teaser for the next tutorial.

Mindmap

Keywords

💡OpenAI

OpenAI is an artificial intelligence research lab known for developing advanced AI models and APIs. In the context of the video, OpenAI has launched a new text to speech API, which is a service that converts written text into spoken words. The video demonstrates how to utilize this API in a no-code environment using BuildShip.

💡Text to Speech API

The Text to Speech API is a technology that enables the conversion of text data into human-like speech. It's a key focus of the video, showcasing how to integrate this API into a workflow for generating and storing speech files without coding. The API is used to create a more interactive and accessible user experience.

💡BuildShip

BuildShip is a no-code platform mentioned in the video that allows users to create workflows and automate processes without writing code. It is used to demonstrate the integration of OpenAI's text generation and text to speech APIs, highlighting the ease of use and flexibility of the platform for non-technical users.

💡API Trigger

An API trigger is a mechanism within a workflow that initiates a series of actions when an API call is received. In the video, the API trigger is the starting point for the workflow, which then proceeds to generate text and convert it to speech, illustrating the power of automation in no-code environments.

💡Workflow

A workflow is a series of connected steps or actions that are executed in a specific order to achieve a particular outcome. The video walks through the creation of a workflow in BuildShip, which involves text generation, speech conversion, and file storage, demonstrating the practical application of no-code automation.

💡Node

In the context of the video, a node represents a single step or action within a workflow. Nodes can be pre-built or custom created, and they are used to perform tasks such as text generation and speech conversion. The video shows how to add and configure nodes to build a functional workflow.

💡Secret Manager

A secret manager is a tool or service used to securely store and manage sensitive information, such as API keys. In the video, the OpenAI API key is added to the secret manager within BuildShip to ensure secure access to the text generation and text to speech APIs.

💡Prompt

A prompt is a piece of text or a question that initiates a response or action. In the video, prompts are used for text generation, where the user inputs a prompt to generate a specific type of text, such as a love note, which is then converted into speech.

💡System Prompt

A system prompt is a predefined input that guides the output of a node, ensuring consistency in the type of content generated. In the video, a system prompt is used to standardize the output of the text generation node, specifying that it should generate a love note based on the input prompt.

💡AI Generated Nodes

AI generated nodes refer to custom nodes created using AI models, which can be integrated into workflows. The video encourages users to create their own nodes using AI-generated code snippets, allowing for rapid integration of new AI models into their workflows as they become available.

💡Base64 String

A Base64 string is an encoded format used to represent binary data in ASCII text. In the video, the text to speech API outputs a Base64 string, which is then saved as a file. This encoding is important for transferring binary data, such as audio files, in text-based communication protocols.

💡File Storage

File storage refers to the digital storage of files, which can be accessed and managed through various platforms. In the video, BuildShip's built-in storage or external services like Google Cloud or AWS are used to store the generated speech files, demonstrating the integration of cloud storage solutions within no-code workflows.

Highlights

OpenAI has launched a text to speech API.

The API can be used in a no-code way using BuildShip.

Creating a workflow involves adding an API trigger.

Using OpenAI TextGeneration node for text creation.

Filling in the OpenAI API key and prompt for text generation.

Adding a system prompt to standardize output.

Integrating the new OpenAI Text to Speech API.

Creating a custom node using AI-generated code snippet.

Using the generated text from the previous node as input.

Storing the output as a base64 file using BuildShip storage.

Returning the file's public URL for access.

Testing the API with a prompt about OpenAI developer conference.

Workflow execution generates text, converts it to speech, and stores the file.

The generated love node text is a creative and personalized message.

Project storage allows reviewing the generated files and logs.

BuildShip supports adding branch and parallel nodes for workflow expansion.

The template is available for exploration and further development.