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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()