Build Your Own AI-powered App with OpenAI's Whisper & Stripe

Table of Contents

1. Introduction
2. Requirements
3. Setting up the Project
4. Creating the Server
5. Handling File Uploads
6. Integrating Stripe for Payments
7. Transcribing the Audio
8. Front-End Implementation
9. Running the Application
10. Conclusion

Building a Full Stack App with OpenAI Whisper API and Stripe for Payments

In this tutorial, I will guide You through the process of building a simple yet powerful full stack application. We will leverage the OpenAI Whisper API for audio transcription and integrate Stripe for incorporating payments. By following this tutorial, you will be able to Create a dynamic app where users can drag and drop audio files to transcribe, set and pay for the transcription, and download the transcribed result.

1. Introduction

In this section, I will give you an overview of the project we will be building. We will use Node.js for the backend and HTML, CSS, and JavaScript for the frontend. You will also get familiar with the required libraries and APIs we will be using.

2. Requirements

Before getting started, make sure you have Node.js installed on your machine. We will also need API keys from OpenAI and Stripe. I will Show you how to generate those keys and Where To use them in the project.

3. Setting up the Project

In this section, we will set up the basic structure of our project. We will create the necessary directories and files, and initialize the project using npm. I will guide you through the installation of the required libraries and show you how to configure the environment variables.

4. Creating the Server

In this section, we will build the server using Express.js. I will explain how to require the necessary modules and set up Middleware for file uploads and Sessions. We will also handle the endpoints for file uploads, charging payments, and audio transcription.

5. Handling File Uploads

In this section, we will use the Multer library to handle file uploads. I will show you how to configure Multer and set up the endpoint for file uploads. We will validate the file size and Type, and store the uploaded file on the server.

6. Integrating Stripe for Payments

In this section, we will integrate Stripe for processing payments. I will explain how to set up an account on Stripe, generate the necessary API keys, and securely handle the secret key. We will create an endpoint for charging payments using the Stripe API, handle successful and failed payments, and send appropriate responses to the frontend.

7. Transcribing the Audio

In this section, we will implement the audio transcription feature using the OpenAI Whisper API. I will guide you through the process of making API requests to transcribe the uploaded audio file. We will handle success and error responses, and display the transcribed result on the frontend.

8. Front-End Implementation

In this section, we will implement the frontend of our application using HTML, CSS, and JavaScript. I will guide you through the process of setting up the HTML structure, integrating Tailwind CSS for styling, and adding the necessary JavaScript code. We will handle file uploads, display the price Based on file size, handle payments using Stripe Elements, show the transcription result, and provide options for downloading the transcribed file.

9. Running the Application

In this section, I will show you how to run the application on your local machine. We will start the server and open the application in a web browser. You will be able to test the file upload, payment, and transcription functionalities.

10. Conclusion

In the final section, I will summarize what we have learned and achieved in this tutorial. I will also discuss possible improvements and further steps you can take to enhance the application.

Highlights

• Create a full stack app integrating OpenAI Whisper API and Stripe for payments
• Enable users to drag and drop audio files for transcription
• Generate dynamic prices based on file size
• Securely handle API keys and environment variables
• Implement file uploads, payment processing, and audio transcription
• Display transcription results and provide options for downloading

FAQ

Q: Can I use a different payment gateway instead of Stripe? A: Yes, you can choose to integrate a different payment gateway of your choice. However, you will need to modify the code accordingly and follow the documentation of the chosen payment gateway.

Q: How can I increase the maximum file size for uploads? A: To increase the maximum file size for uploads, you will need to adjust the configuration of both the server and the file upload endpoint. Consult the documentation of the file upload library you are using for specific instructions.

Q: Can I transcribe languages other than English? A: Yes, the OpenAI Whisper API supports multiple languages for audio transcription. You will need to specify the language code in the API request. Refer to the OpenAI documentation for the supported languages and how to include them in your code.

Q: Is it possible to add real-time transcription capabilities? A: Yes, it is possible to implement real-time transcription by using appropriate streaming techniques with the Whisper API. However, this would require additional code and configurations beyond the scope of this tutorial.

Q: How can I deploy the app to a production environment? A: To deploy the app to a production environment, you will need to follow the deployment guidelines specific to your chosen server provider, such as Heroku or AWS. It involves configuring environment variables, setting up a database, and ensuring appropriate security measures are in place.

Q: Can I customize the styling of the app? A: Absolutely! The provided CSS styling is just a starting point. You can modify the styles as per your requirements. Feel free to add your own branding, adjust colors, or change the layout to match your design preferences.

Q: Are there any security considerations when handling payments? A: Yes, security is a critical aspect when handling payments. It is important to follow best practices such as encrypting communication, securely storing API keys and secret keys, and validating input before processing payments. Consult the documentation of the payment gateway you are using for specific security guidelines.

Q: Can I use my own audio file for testing? A: Yes, you can use your own audio file for testing the application. Make sure the audio file meets the supported file types and sizes as defined in the code. You can replace the provided test audio file with your own during the testing phase.

Q: What are the limitations of the OpenAI Whisper API? A: The Whisper API has certain limitations, such as file size and language support. Refer to the OpenAI documentation for the specific limitations of the API. Keep these limitations in mind while building and testing your application.