Summarize:
It seems that the content you want summarized isn’t visible. Please provide the text or main ideas, and I’ll be happy to help!
Create a Real-Time Voice Chat System Using LLMs in Python: Comprehensive Tutorial on Llama 4 Applications
#Build #RealTime #LLM #Voice #Chat #System #LLMs #Python #Full #Tutorial #Llama #Potential
In this step-by-step tutorial, I’ll show you how to create a real-time voice chat system using Python that responds naturally to your speech! We’ll build a complete system that listens for pauses in your speech and responds immediately – just like a real conversation.
🔥 What you’ll learn:
1. Setting up FastRTC for real-time audio streaming
2. Implementing Voice Activity Detection (VAD) for natural conversation flow
3. Integrating Groq’s powerful LLMs for intelligent responses
4. Using ElevenLabs for realistic voice synthesis
5. Building the complete system in both Gradio and FastAPI
Don’t believe you can run this on your home computer? I’m running this entire system on a modest setup with just 2GB GPU and 24GB RAM! No specialized hardware needed.
💻 Resources:
FastRTC: https://fastrtc.org/
Groq: https://groq.com/
ElevenLabs: https://elevenlabs.io/
Git Repo: https://github.com/Princekrampah/real-time-llm-voice-chat-systems
If you found this helpful, please like, subscribe, and share with others who might benefit from this tutorial! Comment below with your questions or ideas for future videos.
#AIVoice #PythonTutorial #LLM #VoiceAI #RealTimeCommunication #MachineLearning
Buy me a coffee:
https://www.buymeacoffee.com/princez3
Follow me on social media:
Discord community server: https://discord.gg/xpyUaEppzU
twitter: https://twitter.com/Prince_krampah
Channel main page: https://www.youtube.com/c/CodeWithPrince
Hope you enjoy today’s video. Please show your love and support by just liking and subscribing to the channel so we can grow a strong and powerful community. Activate the 🔔 beside the subscribe button to get the notification!📩 If you have any questions or requests feel free to leave them in the comments below.
Thank you for watching and see you in the next video!!
Click here to learn more about this YouTuber
