How to Build a Python AI Voice Agent with DeepSeek R1 (Full Transcript)

A quick demo of creating an AI voicebot in Python using DeepSeek R1, highlighting reasoning capabilities and a Paris sightseeing example.

Download Transcript (DOCX)

Speakers

Add new speaker

[00:00:00] Speaker 1: In this video, I'll show you how to build an AI voice agent in Python using DeepSeek's R1 model. Since the R1 model has reasoning capabilities, you'll see in our demo that the model actually explains its chain of thought on how it came to an answer or conclusion. I'm traveling to Paris next week. What are some things that I should see?

[00:00:20] Speaker 2: Okay, so the user is planning a trip to Paris and wants to know what to see. Hmm, I need to provide a good list of must-see attractions without being too long. First off, Paris has iconic landmarks like the Eiffel Tower and the Louvre Museum. Those are pretty much must-visits for anyone there. Then there's Versailles with its Grand Gardens.

[00:00:40] Speaker 1: This AI voicebot is super easy to build. The link to the GitHub repository will be in the description box below.

Summary

The transcript describes a video demonstrating how to build an AI voice agent in Python using DeepSeek’s R1 model. The demo highlights the model’s reasoning capabilities by having it answer a travel question about what to see in Paris, mentioning major attractions like the Eiffel Tower, the Louvre, and Versailles. The speaker notes the voicebot is easy to build and that a GitHub repository link is provided.

Copy

Download

Title

Building a Python AI Voice Agent with DeepSeek R1

Copy

Download

Keywords

AI voice agent Remove

Remove

Python

Remove

DeepSeek R1 Remove

Remove

reasoning model Remove

Remove

chain of thought Remove

Remove

Paris travel Remove

Remove

Eiffel Tower Remove

Remove

Louvre

Remove

Versailles Remove

Remove

GitHub repository Remove

Remove

Copy

Download

Key Takeaways

DeepSeek’s R1 model is used to build an AI voice agent in Python.
The demo showcases the model’s reasoning by explaining how it reaches answers.
A sample query asks for Paris sightseeing suggestions.
Iconic recommendations include the Eiffel Tower, the Louvre, and Versailles.
The project is positioned as easy to build with code available on GitHub.

Copy

Download

Sentiments

Positive: The tone is upbeat and promotional, emphasizing ease of building the voicebot and showcasing impressive reasoning capabilities through a practical travel demo.

Copy

Download

Enter your query

{{ secondsToHumanTime(time) }}

Back

Forward

{{ Math.round(speed * 100) / 100 }}x

{{ secondsToHumanTime(duration) }}

Select Audio file