Talk to your favourite character

AI agents that talk to you like fictional characters or celebrities.
Interact with AI agents that simulate conversations with fictional characters, historical figures, or celebrities.

How to talk

1. Create .env file like .env.example
2. Run any .py file from the directory you like. Every directory is divided by category
   To run file you can type

python <directory>/<filename>.py

Example:

python fictional/heisenberg_walter_white.py

If you face error No module named 'config', run this:

PYTHONPATH=. python <directory>/<filename>.py

Categories

• fictional: Characters from movies, books, or TV shows.
• historical: Famous historical figures.
• celebrity: Interact with simulated versions of well-known people.

Create you own agents or just use llm run

Example of agent

from langchain_core.messages import SystemMessage, HumanMessage, AIMessage
from langchain_core.tools import tool
from utils.common import run_agent, get_agent

@tool
def some_tool(some_param: str) -> str:
    """Tool description"""
    return "response"


character_name = ""
character_description = ""
def main():
    chat_history = [SystemMessage(content=character_description)]
    agent = get_agent([some_tool])
    while True:
        input_msg = input("You: ").encode('utf-8').decode('utf-8')
        chat_history.append(HumanMessage(content=input_msg))
        agent_output = run_agent(agent, chat_history)
        print(character_name + ': ' + agent_output.content)
        chat_history.append(AIMessage(content=agent_output.content))


if __name__ == "__main__":
    main()

Example of llm run

from langchain_core.messages import SystemMessage, HumanMessage, AIMessage
from utils.common import run_llm

character_name = ""
character_description = ""
def main():
    chat_history = [SystemMessage(content=character_description)]
    while True:
        input_msg = input("You: ").encode('utf-8').decode('utf-8')
        chat_history.append(HumanMessage(content=input_msg))
        llm_output = run_llm(chat_history)
        print(character_name + ': ' + llm_output.content)
        chat_history.append(AIMessage(content=llm_output.content))


if __name__ == "__main__":
    main()