Key phrase detection in audio files using Python

In this tutorial, you learned how to use the AssemblyAI Python SDK to transcribe an audio file and detect key phrases within it. Here's a step-by-step breakdown of what you did: 1. Set up your virtual environment for Python and install the necessary dependencies. 2. Get your AssemblyAI API token from the dashboard on their website, and save it in an environment variable. 3. Import the required modules and classes from the AssemblyAI SDK. 4. Define a function to upload an audio file to the AssemblyAI platform using the transcription endpoint of their API. 5. Use this function to transcribe your audio file and print out the JSON-formatted response from the server. 6. Create another function to download the transcripted text in plain format from the server. 7. Call this function, passing in the filename of your audio file, and store the resulting transcript in a variable. 8. Define a third function to detect key phrases within the transcribed text using the auto_highlights attribute of the SpeechRecognitionResult class. 9. Use this function to extract the highlights from your transcript, sort them by timestamps if desired, and print out their content along with relevant metadata like rank and count. By following these steps, you can easily analyze audio data for key phrases using Python and the AssemblyAI platform.