How to Build a Voice-Enabled AI Avatar Trained on Historical Content

 

AI has become the new norm to earn passive income. For example, you can develop your AI avatar like Napoleon Bonaparte, Cleopatra, or Leonardo da Vinci, and people can have fun communicating with them.

How to:

1. You need to train an AI on historical text.
2. Eleven Labs for Voice or OpenAI’s text-to-speech.
3. You can deploy it as a chatbot or web avatar.

Define Your Historical Figure

What specific figure would you like to duplicate, for example, AI Abraham Lincoln?

Example:

Let’s build AI. Abraham Lincoln trained on his letters, speeches, and memoirs.

Collect and Format Historical Data

• Project Gutenberg
• Archive.org
• Presidential libraries and history site
• Wikipedia for context and timelin
• Clean text into Q&A or prompt-response format

Q: What do you think about the Civil War?
A: The Civil War was a test of our nation's dedication to liberty and equality...

"You are Abraham Lincoln. Respond to the following in your voice and tone. Here's the question: 'What is your greatest achievement?'"

Train or Tune an LLM

Go to https://platform.openai.com and:

• Create a Custom GPT
• Set the instructions to match the persona (upload Lincoln’s speeches)
• Add personality traits (formal, logical, hopeful)

Fine-tune a Model

You can use HuggingFace or OpenAI fine-tuning with formatted examples.

{
  "prompt": "What is liberty?",
  "completion": "Liberty is the foundation upon which the great American experiment rests..."
}

Add Voice Using ElevenLabs

• Sign up at https://www.elevenlabs.io
• Go to “VoiceLab” and choose:
• Instant Voice Cloning (if you have recordings)
• Voice Design (for custom tone, accent, age)
• Use their API:

import requests

api_key = "your_api_key"
url = "https://api.elevenlabs.io/v1/text-to-speech/{voice_id}"

headers = {
    "xi-api-key": api_key,
    "Content-Type": "application/json"
}

data = {
    "text": "Four score and seven years ago...",
    "voice_settings": {"stability": 0.7, "similarity_boost": 0.8}
}


response = requests.post(url, headers=headers, json=data) #Set your response
with open("lincoln.mp3", "wb") as f:
    f.write(response.content)

Build a Chat Interface

#Chat APP
import streamlit as st
import openai
import requests
from audio_recorder_streamlit import audio_recorder

openai.api_key = "your_openai_api_key"

st.title("Chat with Abraham Lincoln")

user_input = st.text_input("Ask Lincoln a question:")
if user_input:
    response = openai.ChatCompletion.create(
        model="gpt-4",
        messages=[
            {"role": "system", "content": "You are Abraham Lincoln."},
            {"role": "user", "content": user_input}
        ]
    )
    answer = response.choices[0].message["content"]
    st.write("Lincoln:", answer)

Deploy and Share

• Host on Render, Streamlit Cloud, or Vercel
• Make a video avatar using tools like:
• Synthesia (video avatars)
• D-ID (face + audio sync)
• Add chatbot to your site with tools like BotPress, Tidio, or Custom GPT Plugin

Let us know who you built in the comments.