How to make a web app that transcribes YouTube videos with Streamlit | Part 2

TL;DR

Create a Streamlit web app for video transcription using Assembly AI with real-time status updates and easy user interaction.

Transcript

in the first part of this tutorial we prepared the code to submit a transcription job to assembly ai in this video we will create our streamlet web app so let's get started so the first thing that i want to add definitely is to seeing the video actually right after the user inputs this video so what i will do is very simply just say streamlit video... Read More

Key Insights

• 👤 Streamlit enables the creation of user-friendly web applications for various tasks.
• 💝 Session states help in maintaining and displaying the latest information to users during the video transcription process.
• 🤙 Polling endpoints and API calls to Assembly AI facilitate real-time status updates for transcription jobs.
• 😀 Utilizing streamlit cache decorators prevents unnecessary re-execution of functions in the app.
• 😀 The Streamlit web app seamlessly integrates video display, transcription status updates, and transcript retrieval for user convenience.
• 😀 Refreshing the app's state allows users to submit and transcribe multiple videos consecutively without issues.
• 🥶 Assembly AI offers a free API token for developers to integrate transcription services into their applications.

Questions & Answers

Q: How does the Streamlit web app display the video and provide real-time status updates?

The app uses Streamlit to show the video input by the user and updates the status of the transcription job in real-time using Assembly AI's polling endpoint.

Q: What is the role of session states in the Streamlit web app development?

Session states store information about the video transcription process, ensuring users see the latest status updates without the app appearing stuck or inactive.

Q: How does the web app prevent re-running the video transcription process unnecessarily?

By strategically using streamlit cache decorators, the app ensures that functions only run when necessary, preventing the re-download and processing of the video each time the user checks the transcription status.

Q: How can users interact with the Streamlit web app to check the status of their transcription job?

Users can utilize a dedicated button to call the getstatus function and receive the latest updates on their video transcription job from Assembly AI.

Summary & Key Takeaways

• Develop a Streamlit web app for video transcription with real-time status updates using Assembly AI.

• Implement session states to provide users with the latest information on their transcription job.

• Utilize a polling endpoint to check the status of the transcription job and display the transcript using Streamlit's markdown function.