app.py

import gradio as gr
import openai

# Set your OpenAI API key
openai.api_key = "YOUR_API_KEY"  # Replace with your actual API key

# Maximum number of messages to keep in history
MAX_HISTORY = 10

def chat_fn(message, history):
    # Convert history to the correct format for OpenAI
    messages = []
    for user_msg, bot_msg in history[-MAX_HISTORY:]:  # Keep only the last MAX_HISTORY messages
        messages.append({"role": "user", "content": user_msg})
        messages.append({"role": "assistant", "content": bot_msg})

    # Add the new user message
    messages.append({"role": "user", "content": message})

    # Call OpenAI API
    response = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages=messages,
        max_tokens=300
    )

    # Get the model's reply
    bot_reply = response.choices[0].message["content"]

    # Update history
    history.append((message, bot_reply))

    # Return empty textbox and updated history
    return "", history

# Gradio interface
with gr.Blocks() as demo:
    gr.Markdown("# 💬 JuriX Chatbot")
    chatbot = gr.Chatbot()
    msg = gr.Textbox(label="Type your message here", placeholder="Enter your message...")
    msg.submit(chat_fn, [msg, chat]()_