import gradio as gr
import openai
openai.api_key = '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'
def chat(message,history):
    history = history or []
    messages = [{'role':'system','content':'you are a helpful assistant'}]
    for user_ask,gpt_answer in history:
        messages.append({'role':'user','content':user_ask})
        messages.append({'role':'assistant','content':gpt_answer})
    messages.append({'role':'user','content':message})
    get_response = openai.ChatCompletion.create(
        model = 'gpt-3.5-turbo',
        messages = messages,
        temperature = 0.7,
        max_tokens = 1000
    )
    real_response = get_response['choices'][0]['message']['content']
    history.append((message,real_response))
    return history,history

# seafoam = gr.Theme.from_hub('gradio/seafoam')
with gr.Blocks() as demo:
    gr.Markdown('<h1 style = text-align : center> ChatGPT Conversation <h1>')
    chatbot = gr.Chatbot(elem_id = 'Chat_window')
    input = gr.Textbox(label = 'Your message',placeholder = 'Type your message here',lines = 2,elem_id = 'message',interactive = True)
    button = gr.Button('send')
    state = gr.State()
    button.click(fn = chat,inputs = [input,state],outputs = [chatbot,state])
demo.launch(auth = ('admin','123456'))