In this video, I build an AI voice assistant using Python in real-time! This project demonstrates how to integrate AI tools to create a responsive voice interaction system.
📚 What You'll Learn:
Conversation Starter: Begin a conversation with the AI assistant.
Audio to Text: Transcribe audio to text using an OpenAI model.
Fast Inference: Generate responses quickly with Groq implementations.
LangChain: Leverage LangChain to use Llama3 for generating responses.
Text to Speech: Convert text back to speech using gTTS.
Frontend Design: Design the frontend interface using Streamlit.
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🔥 Don't forget to 𝘀𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲, 𝐬𝐦𝐚𝐬𝐡 the 𝗹𝗶𝗸𝗲 𝐛𝐮𝐭𝐭𝐨𝐧, and 𝐭𝐮𝐫𝐧 𝐨𝐧 the 𝐧𝐨𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐛𝐞𝐥𝐥 for more 𝗲𝘅𝗰𝗶𝘁𝗶𝗻𝗴 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 and 𝘁𝘂𝘁𝗼𝗿𝗶𝗮𝗹𝘀.
🚀 Timestamps:
0:00 Introduction
0:36 Demo
1:55 Workflow to build the AI Voice Assistant
03:23 Setup environment
03:40 Structure of the project
04:08 Build AI Voice Assistant
11:14 Design frontend of the app
14:51 Test AI Voice Assistant
16:13 Conclusion
Links:
💻 Code: github.com/Eduardovasquezn/ai...
☕️ Buy me a coffee... or an iced tea: www.buymeacoffee.com/eduardov
👔 LinkedIn: / eduardo-vasquez-n
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