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import os |
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import openai |
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import gradio as gr |
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os.environ['MPLCONFIDIR'] ='/Users/okuhle.ndlebe/PycharmProjects/chatgpthugging' |
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openai.api_key = "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" |
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start_sequence = "\nAI:" |
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restart_sequence = "\nHuman: " |
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prompt = "" |
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def openai_create(prompt): |
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response = openai.Completion.create( |
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model="text-davinci-003", |
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prompt=prompt, |
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temperature=0.2, |
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max_tokens=4000-int(len(prompt)), |
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top_p=1, |
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frequency_penalty=0, |
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presence_penalty=0.6, |
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stop=[" Human:", " AI:"] |
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) |
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return response.choices[0].text |
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def chatgpt_clone(input, history): |
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history = history or [] |
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s = list(sum(history, ())) |
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s.append(input) |
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inp = ' '.join(s) |
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output = openai_create(inp) |
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history.append((input, output)) |
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return history, history |
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block = gr.Blocks() |
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with block: |
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gr.Markdown("""<h1><center>Answer Your Questions By GPT</center></h1> |
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""") |
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chatbot = gr.Chatbot() |
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message = gr.Textbox(placeholder=prompt) |
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state = gr.State() |
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submit = gr.Button("SEND") |
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submit.click(chatgpt_clone, inputs=[message, state], outputs=[chatbot, state]) |
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block.launch(debug=True) |
