# Rewritten Code
import openai
import gradio as gr
import time

# keep track of responses
responses = []

def Question(Ask_Question):
  # pass the generated text to audio
  openai.api_key = "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"
  # Set up the model and prompt
  model_engine = "text-davinci-003"
  #prompt = "who is alon musk?"
  # Generate a response
  completion = openai.Completion.create(
  engine=model_engine,
  prompt=Ask_Question,
  max_tokens=2056,
  n=1,
  stop=None,
  temperature=0.5,)
  response = completion.choices[0].text
  #out_result=resp['message']
  # add response to the responses list
  responses.append(response)
  return  response

# Create interface
demo = gr.Interface(
    title='OpenAI ChatGPT Application',
    fn=Question,
    inputs="text", outputs="text")
# Create a secondary window with history of responses
gr.Interface(title="History", fn=lambda: responses, inputs=None, outputs=responses, live=True).launch(share=True)

# Launch interface
demo.launch(share=true)
Check this code to make sure it'll run:
chat_history = [
    ["User", prompt],
    ["OpenAI", responses["choices"][0]["text"]]
]


# Create the radio blocks window 
window = RadioBlocks(chat_history)
window.launch()
# Print out the chat history 
print("Chat History:")
for message in chat_history:
    print(f"{message[0]}: {message[1]}")
    

# fix

chat_history = [
    ["User", prompt],
    ["OpenAI", responses["choices"][0]["text"]]
]

# Create the radio blocks window 
window = gr.Interface(title="History", fn=lambda: chat_history, inputs=None, outputs=chat_history, live=True).launch(share=True)
# Print out the chat history 
print("Chat History:")
for message in chat_history:
    print(f"{message[0]}: {message[1]}")