import gradio as gr
import openai


def Question(Ask_Question):
    openai.api_key = "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"
    model_engine = "text-davinci-003"
  # pass the generated text to audio
#  openai.api_key = "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"
#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(
#    model="text-davinci-003",
#    prompt=Ask_Question,
#    temperature=0.9,
#    max_tokens=2048,
#    top_p=1,
#    frequency_penalty=0,
#    presence_penalty=0.6,
#    stop=[" Human:", " AI:"]
#    )

  completion = openai.Completion.create(
  engine=model_engine,
  prompt=Ask_Question,
  max_tokens=2048,
  n=1,
  top_p=1,
  stop=None,
  temperature=0.9,)
  response = completion.choices[0].text
  #out_result=resp['message']
  return  response  
    
demo = gr.Interface(
    title='OpenAI ChatGPT Application',
    fn=Question,
    inputs="text", outputs="text")

demo.launch() 


# fix

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

# Create the radio blocks window 
#window = gr.Interface(title="History", fn=Question: 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]}")

window.launch()