How to add OpenAI Text to Speech to your Bubble app | Bubble.io Tutorials | Planetnocode.com
TLDRIn this tutorial, the creator demonstrates how to integrate Open AI's text-to-speech API into a Bubble app, showcasing the impressive quality of AI-generated speech. The video guides viewers through the process of setting up the API, authenticating calls, and handling the MP3 file response. The creator emphasizes the potential of AI in text generation and image creation, and invites viewers to share their thoughts on the best AI voices and to comment on any questions they may have.
Takeaways
- 🚀 The user is excited about the new features added to the Open AI API, particularly text-to-speech capabilities.
- 🗣️ The text-to-speech quality is considered superior, potentially outperforming 9 out of 10 people in English language proficiency.
- 🖼️ AI-generated images are becoming increasingly photorealistic, but there's a gap in human-like AI communication.
- 🌐 Open AI is praised for their advancements, particularly in making AI speech convincingly human.
- 🛠️ The tutorial is part of a resource for non-coders to build online SaaS and businesses using the Bubble platform.
- 🔑 Authentication with Open AI API requires a private key and specific headers for API calls.
- 📄 The API documentation is referenced for setting up the text-to-speech functionality in the Bubble app.
- 🔊 The output of the text-to-speech API is an MP3 file, which is automatically played in the Bubble app.
- 🔄 Custom states in Bubble are used for temporary storage of data, such as the MP3 file generated by Open AI.
- 🎥 The tutorial demonstrates how to embed an HTML5 audio player for automatic playback of the AI-generated speech.
- 📝 The user encourages viewers to share their thoughts on different AI text-to-speech models and to leave comments for further questions.
Q & A
What new features were added to the Open AI API on November 7th?
-The new feature added was text to speech, which allows users to convert text into high-quality, human-like speech.
How does the speaker describe the quality of the text to speech generated by Open AI?
-The speaker describes it as some of the best text to speech they've heard, often better than 9 out of 10 people in the room in terms of English language proficiency.
What is the main challenge the speaker mentions regarding AI and human interaction?
-The main challenge is the ability for AI to speak to humans in a way that is convincingly human.
What is Planet No Code and what does it offer?
-Planet No Code is an educational resource that helps users build SaaS online or launch a business online without needing to be a coder. They provide hundreds of videos using the Bubble platform.
How does the Bubble platform facilitate software development without coding?
-Bubble allows users to build software without using any code or with minimal code, by providing a visual interface and plugins for various functionalities.
What is the process for integrating Open AI's text to speech feature into a Bubble app?
-The process involves setting up the Open AI API in the Bubble API connector plugin, authenticating the call with a private key, specifying the endpoint, and configuring the request body according to Open AI's documentation.
How does the speaker choose the voice for the text to speech conversion?
-The speaker chose the voice 'Onyx' after listening to all available options, but they invite viewers to leave comments with their preferred voice choices.
What is a custom state in the context of the Bubble app?
-A custom state in Bubble is a way to temporarily store data, such as a file, without creating a permanent entry in the database. It allows the app to store and retrieve the data as needed.
How does the speaker handle the MP3 file response from Open AI in the Bubble app?
-The speaker uses a custom state to temporarily store the MP3 file in the Bubble app storage and then references it in an HTML5 audio player to autoplay the converted speech.
What happens when the speaker tests the text to speech feature with a complex sentence?
-The speaker tests the feature with a complex sentence from Shakespeare's 'Hamlet' and confirms that it works without any syntax errors, despite the use of colons which could potentially cause issues in JSON format.
How does the speaker encourage viewer engagement after demonstrating the text to speech feature?
-The speaker encourages viewers to leave comments with their thoughts on the different voices or if they know of any better text to speech models, and also to ask questions as every comment is read and helps inspire future content.
Outlines
🤖 Introduction to Open AI's Text-to-Speech
The speaker is excited about the new features added to the Open AI API, particularly the text-to-speech capability. They mention that the AI-generated text is often better than 9 out of 10 people in English writing ability. The speaker also discusses the advancements in AI, such as image APIs, but notes the missing piece is human-like conversational AI. They introduce their platform, Planet no code, which helps users build online businesses without coding knowledge. The speaker demonstrates how to use the Open AI text-to-speech feature in a Bubble app, explaining the setup process, including authentication, API key usage, and the structure of the API call. They also discuss the choice of voice and the integration of the feature into the workflow.
📝 Implementing Text-to-Speech in Bubble
The speaker continues by explaining how they have implemented the Open AI text-to-speech feature in their Bubble app. They detail the process of setting up a custom state to temporarily store the MP3 file generated by Open AI. The speaker then shows how to use an HTML5 audio player to autoplay the generated speech and discusses the importance of the custom state for retrieving the saved file. They test the feature with different texts, including a complex sentence from Shakespeare, and confirm that the text-to-speech conversion works well, even with potential JSON syntax issues. The speaker concludes by praising Open AI's text-to-speech service and invites viewers to share their thoughts and suggestions for improvement.
Mindmap
Keywords
💡Open AI API
💡Text-to-Speech
💡Bobble Tutorial
💡Planet No Code
💡Bubble
💡API Key
💡Content-Type
💡Custom State
💡HTML5 Audio Player
💡Workflow
💡JSON
Highlights
The user is enjoying new features added to the Open AI API.
The tutorial is about adding text to speech capabilities.
The user praises the quality of text to speech, considering it better than most people's English pronunciation.
The user mentions the advancement in AI text generation and image APIs but notes the lack of convincing human-like AI speech.
Open AI's text to speech is considered by the user to be very close to human-like convincing speech.
The user introduces Planet no code, a bubble education resource for non-coders to build online businesses.
The user explains how to integrate Open AI's text to speech into a Bubble app.
Authentication with Open AI API is done using a private key and the Bearer authorization method.
The user demonstrates the setup of the Open AI API in the Bubble API connector plugin.
The user changes the voice to Onyx, which they believe is the best among the available options.
The user uses a custom state to temporarily store the MP3 file generated by Open AI.
The user explains how to automatically play the generated audio using an HTML5 audio player.
The user tests the text to speech functionality with a classic English sentence.
The user successfully demonstrates the text to speech functionality with a more complex sentence.
The user addresses potential issues with JSON syntax in the input text.
The user invites viewers to comment on better text to speech models and questions.
