app.py

import openai
import gradio as gr
import os

# Get OpenAI API key from environment variables
openai.api_key = os.getenv('OPENAI_API_KEY')

# Function to communicate with OpenAI GPT model and maintain chat history
def openai_chat(messages, user_input):
    messages.append({"role": "user", "content": user_input})
    
    response = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",  
        messages=messages
    )
    
    bot_message = response['choices'][0]['message']['content']
    messages.append({"role": "assistant", "content": bot_message})
    
    # Prepare the chat history for display in the Gradio Chatbot
    chat_history = [(msg['content'] if msg['role'] == 'user' else None, 
                     msg['content'] if msg['role'] == 'assistant' else None) for msg in messages]
    
    return chat_history, messages

# Creating Gradio UI
with gr.Blocks(theme="Hev832/niceandsimple") as demo:
    gr.Markdown("### OpenAI Chatbot with Gradio Chatbox")
    
    chatbot = gr.Chatbot(label="Chat History")
    user_input = gr.Textbox(label="Your Message")
    
    # Keep track of the message history
    state = gr.State([])  # Empty list to store the message history
    
    # Submit button
    submit_btn = gr.Button("Send")
    
    # Define interaction logic
    submit_btn.click(openai_chat, 
                     inputs=[state, user_input], 
                     outputs=[chatbot, state])

# Launch the interface
demo.launch()