In this tutorial, you'll learn how to build a powerful multilingual YouTube AI assistant using Python! Briefly, I'll show you step-by-step how to code a Python workflow that can extract audio from a video, transcribe it, use LLM to generate a summary of key points and finally synthesize natural sounding speech in up to 32 different languages.

To do this, we're leveraging the following AI tech stack:
AssemblyAI for accurate speech recognition using their new Universal 2 model.
Get $50 free API credit www.assemblyai.com/?utm_source=youtube&utm_medium=…
Anthropic's Claude as the LLM www.anthropic.com/
Eleven Labs for natural-sounding speech synthesis in up to 32 languages elevenlabs.io/

🐙 Code github.com/dataprofessor/assemblyai


Support my work:
✉️ Newsletter dataprofessor.beehiiv.com/subscribe
📖 Join Medium to Read my Blogs data-professor.medium.com/membership

Credits:
www.flaticon.com/free-icon/python_5968350
www.flaticon.com/free-icon/audio-waves_10181142
www.flaticon.com/free-icon/united-states_197484
www.flaticon.com/free-icon/spain_197593
www.flaticon.com/free-icon/flag_10597854

#assemblyai #llm #largelanguagemodels #python #dataprofessor