How to Moderate Audio Content in Python with Assembly AI

TL;DR
To moderate audio content in Python using Assembly AI, obtain an API token from their website and set up a project with the requests library. Enable the content safety feature when starting a transcription job, then use the polling endpoint to check the job status and retrieve moderated content details, including severity and labels.
Transcript
hello and welcome today we are going to learn how to moderate what is being said in audio files in python so this is what our results are going to look like here we have a list of parts of this audio file where something is being said that might need to be moderated out we get the text of what is being said we have the confidence level for this lab... Read More
Key Insights
- 📁 Assembly AI's audio intelligence features enable content moderation in audio files.
- 😒 To use Assembly AI's API, an API token needs to be obtained from their website.
- 😫 The content safety feature must be set to true to enable content moderation.
- ✅ Assembly AI provides a polling endpoint to check the status of the transcription job.
- 🎚️ The results from Assembly AI include details about the moderated content, such as the text, severity levels, and labels.
- 📚 The tutorial recommends using the requests library to interact with the Assembly AI API.
- ⌛ Waiting time can be added between polling requests to avoid constant querying.
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Questions & Answers
Q: What is Assembly AI and why is it used for content moderation?
Assembly AI is an API platform that offers audio intelligence features, including content moderation. It is used to analyze audio files and identify any potentially problematic or sensitive content.
Q: How can I obtain an API token for Assembly AI?
To obtain an API token, you can create an account on the Assembly AI website. Upon registration, you will be assigned a free API token, which can be copied from your account dashboard.
Q: Can I upload audio files directly to Assembly AI for content moderation?
Yes, you can upload audio files directly to Assembly AI for content moderation. Alternatively, you can provide the URL of the audio file hosted elsewhere for faster processing.
Q: What information does the results from Assembly AI include?
The results include the ID of the transcription job, the language model used, and details about the enabled features. It also provides the text of the moderated parts, with labels indicating the type of content and severity levels.
Summary & Key Takeaways
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The video demonstrates how to moderate audio files in Python using Assembly AI's audio intelligence features.
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It shows the results of content moderation, including the text of the moderated parts, confidence levels, and severity of the content.
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The tutorial provides step-by-step instructions on obtaining an API token, configuring the project, starting a transcription job, and retrieving the results.
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