| import gradio as gr | |
| import openai | |
| 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( | |
| # 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() | |