app.py

import os
import openai
import gradio as gr
from dotenv import load_dotenv

# Load environment variables
load_dotenv()

# Set your OpenAI API key from environment variable
openai.api_key = os.getenv("OPENAI_API_KEY")

# Retrieve the existing Assistant
assistant_id = "asst_Fps5fdccFdhxF95G6iOAwIdQ"
assistant = openai.beta.assistants.retrieve(assistant_id)

# Initialize the Thread
thread = openai.beta.threads.create()

def chat(message, history):
    # Add the user's message to the thread
    openai.beta.threads.messages.create(
        thread_id=thread.id,
        role="user",
        content=message
    )

    # Run the Assistant
    run = openai.beta.threads.runs.create(
        thread_id=thread.id,
        assistant_id=assistant.id
    )

    # Wait for the run to complete
    while run.status != "completed":
        run = openai.beta.threads.runs.retrieve(
            thread_id=thread.id,
            run_id=run.id
        )

    # Retrieve the assistant's messages
    messages = openai.beta.threads.messages.list(thread_id=thread.id)

    # Get the last message from the assistant
    last_message = next(msg for msg in messages if msg.role == "assistant")

    return last_message.content[0].text.value

# Create the Gradio interface
iface = gr.ChatInterface(
    fn=chat,
    title="Colossal Cave",
    description="Ask me anything about Colossal Cave Adventure!"
)

# Launch the interface
iface.launch()