Build Your Own AI Avatar Agent with Automatic Conversation Logging

In today's digital world, AI assistants are becoming more common. Imagine having an AI that talks to you and saves every chat. This saves you from typing things out later. We'll show you how to build this. We'll use Pipecat for a talking AI avatar. Then, we'll link it to n8n. n8n will save your chats. Finally, we'll send them to Google Sheets. You'll have a system that saves all your conversations.

Setting Up Your Local AI Voice Agent with Pipecat

First, let's get your AI voice agent ready. We'll use Pipecat for this. It's a tool that lets you build voice bots.

Cloning the Pipecat Quick Start Repository

To start, you need the basic code. Go to GitHub and find the Pipecat quick start guide. Copy the code to your computer. This gives you a starting point for your project. You'll need this code to build your agent.

Configuring API Keys and Environment Variables

Your AI needs special keys to work. You'll need keys for Deepgram, OpenAI, and Cartisia. Deepgram helps the AI understand what you say. OpenAI helps it think and respond. Cartisia makes the AI speak. Create a file named .env. Put your keys in this file. This keeps your keys safe.

Installing Dependencies and Running the Bot

Now, let's install the tools your AI needs. Use the command uv sync. This adds all the needed programs. Then, run the bot.py file. You can talk to your AI in your web browser. Go to localhost:7860.

Automating Conversation Export with n8n

Next, we’ll set up n8n. This will handle saving your chats.

Importing and Configuring the N8N Workflow

n8n helps automate tasks. You can get a pre-made workflow. Download the JSON file from the GitHub repo. Import this file into n8n. This sets up the system. It includes a webhook. This webhook gets data from your Pipecat agent.

Transmitting Conversation Data via Webhook

We need to send your chats to n8n. Your Pipecat agent can do this. When you end a call, it sends a message. This message goes to the n8n webhook. We add a special function to bot.py. This function sends the chat transcript. It's called when the connection ends.

Processing Transcripts with LLM and Google Sheets Integration

n8n takes the chat transcript. It saves it as a conversation. Then, it uses an AI model. This model reads the chat. It picks out your name. It also summarizes the chat. It even adds the date. This information is then put into Google Sheets. A new row is added for each chat.

Integrating a Visual AI Avatar with HeyGen

Let's give your AI a face. We will use HeyGen for this.

Setting Up HeyGen and Installing Dependencies

Get an API key from HeyGen. Then, install the HeyGen tools. You’ll need aiohttp and other HeyGen files. Use uv to install these. This makes sure HeyGen can work with your AI.

Configuring the HeyGen Video Service

We need to set up HeyGen in your code. This lets the AI connect to HeyGen. You'll create a special connection. It’s called client_session. This helps with online requests. You’ll also need to set the avatar ID. We use “Sean therapist” as a start. You can change this later. Make sure HeyGen is in your AI’s plan.

Implementing WebRTC for Real-time Video Streaming

To make the avatar move and talk, we use WebRTC. This is a way to send video fast. We change how the AI connects. This allows for smooth video. Your avatar will look and sound real.

Testing and Customizing Your AI Avatar Agent

Now, let's test everything. Make sure it all works together.

Full System Test and Verification

Run your bot.py file again. Open the Pipecat client in your browser. Click “connect.” Talk to your AI. Ask it questions. Then, disconnect the call. Check your Google Sheet. Your chat should be saved there.

Customizing Avatars and Voices

Want a different look? You can change the avatar. Go to HeyGen’s site. Find public avatars. Copy the ID of the one you like. Put this ID in your bot.py code. You can also change the AI’s voice. Go to Cartisia.ai. Find a voice you prefer. Copy its ID. Then, change the voice setting in your code.

Conclusion: Unleashing the Power of Conversational AI

You’ve now built an AI assistant. It talks and has a face. It also saves all your chats. This system is powerful. It helps you save time. It also gives you insights. You can use this for many things. Think about customer service. Or maybe teaching. You can even make it a personal helper.

This setup shows what AI can do. You have a talking avatar. It saves conversations automatically. It links to Google Sheets. This is just the start. You can explore many more ideas with this.