Add speech recognition to your Streamlit apps in 5 minutes | Summary and Q&A

TL;DR

Learn how to quickly and easily integrate Assembly AI's API into your existing Streamlet app within 10 minutes.

Key Insights

• 😀 Assembly AI offers an easy-to-integrate speech-to-text API for existing apps.
• 📁 The integration process involves specifying endpoints, creating an authentication header, uploading audio files, starting transcription jobs, and monitoring progress.
• 👻 Transcription progress can be checked using polling endpoints, allowing for intermittent status updates.
• 🥶 Assembly AI provides a free API token to access their services.
• 😀 The integration showcased in the content involves transcribing and displaying YouTube videos in a Streamlet app.
• 😀 The final result of the integration is a functional app that successfully transcribes and displays YouTube videos.
• ❓ Assembly AI's technology is quick and efficient, enabling integration in under 10 minutes.

Transcript

assembly ai is very easy and quick to integrate into your existing apps so today i'm going to show you how to integrate assembly ai to an existing streamlet app in under 10 minutes here's what the app looks like right now and here's what it will look like once we're done with it we are going to use assembly ai's api to transcribe youtube videos and... Read More

Questions & Answers

Q: What is Assembly AI?

Assembly AI is a company that has developed a state-of-the-art speech-to-text API, which can be easily integrated into existing apps.

Q: How can I obtain a free API token from Assembly AI?

To get a free API token, create an Assembly AI account and sign in. Your API key will be provided, which you can copy and use for authentication during the integration process.

Q: What are the essential steps for integrating Assembly AI into an existing app?

The integration process involves specifying endpoints, creating an authentication header, uploading audio files, starting transcription jobs, and monitoring the progress of the transcription using polling.

Q: How can I check the progress of a transcription job using Assembly AI?

By sending a GET request to the polling endpoint, you can retrieve the status of the transcription job. The response will indicate whether it is queued, processing, or completed. Once completed, the response will also provide the transcribed text.

Summary & Key Takeaways

• The content demonstrates the process of integrating Assembly AI into an existing app, specifically a Streamlet app, to transcribe and display YouTube videos using Assembly AI's speech-to-text API.

• The integration involves specifying endpoints, creating an authentication header, uploading audio files, starting transcription jobs, and monitoring the progress of the transcription.

• The final result is a functional app that transcribes and displays YouTube videos using Assembly AI's technology.