import openai
import gradio as gr
import json

openai.api_key = "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"

def save_conversation():
    with open('conversation.json', 'w') as f:
        json.dump(messages, f)

def load_conversation():
    try:
        with open('conversation.json', 'r') as f:
            return json.load(f)
    except FileNotFoundError:
        return []

messages = load_conversation()

if not messages:
    messages.append({"role": "system", "content": "You are a knowledgeable assistant specialized in recruiting and hiring, and familiar with ADP Workforce Now Recruitment and various hiring and CRM tools."})

def CustomChatGPT(user_input):
    messages.append({"role": "user", "content": user_input})

    # Ensure the conversation fits within the model's maximum token limit
    conversation = messages[-4096:]

    try:
        response = openai.ChatCompletion.create(
            model="gpt-3.5-turbo",
            messages=conversation,
            max_tokens=1000,
            temperature=0.7)
    except openai.api_resources.request_error.RequestError as e:
        print(f"Received error from OpenAI: {e}")
        return "I'm sorry, but I'm unable to generate a response at this time."

    ChatGPT_reply = response["choices"][0]["message"]["content"]
    messages.append({"role": "assistant", "content": ChatGPT_reply})
    
    save_conversation()

    return ChatGPT_reply

interface = gr.Interface(fn=CustomChatGPT, 
                         inputs="textbox", 
                         outputs="textbox", 
                         title="HR HELPER", 
                         description="Chat with a specialized assistant that can answer questions about recruiting, hiring, and various HR and CRM tools. Developed by A. Leschik.")

interface.launch(share=True)