swarms/playground/examples/example_simple_conversation_agent.py

import os

from dotenv import load_dotenv

from swarms import (
    OpenAIChat,
    Conversation,
)

conv = Conversation(
    time_enabled=True,
)

# Load the environment variables
load_dotenv()

# Get the API key from the environment
api_key = os.environ.get("OPENAI_API_KEY")

# Initialize the language model
llm = OpenAIChat(openai_api_key=api_key, model_name="gpt-4")


# Run the language model in a loop
def interactive_conversation(llm):
    conv = Conversation()
    while True:
        user_input = input("User: ")
        conv.add("user", user_input)
        if user_input.lower() == "quit":
            break
        task = (
            conv.return_history_as_string()
        )  # Get the conversation history
        out = llm(task)
        conv.add("assistant", out)
        print(
            f"Assistant: {out}",
        )
    conv.display_conversation()
    conv.export_conversation("conversation.txt")


# Replace with your LLM instance
interactive_conversation(llm)