Delete playground/agents/simple_agent_example.py

playground/agents/simple_agent_example.py

@@ -1,51 +0,0 @@
-import os
-
-from dotenv import load_dotenv
-
-from swarms import (
-    Conversation,
-    OpenAIChat,
-)
-
-conv = Conversation(
-    autosave=False,
-    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)
-
-
-# Run the language model in a loop
-def interactive_conversation(llm, iters: int = 10):
-    conv = Conversation()
-    for i in range(iters):
-        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
-
-        # Run the language model
-        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)