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| import os | |
| import openai | |
| import gradio as gr | |
| openai.api_key = "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" | |
| start_sequence = "\nAI:" | |
| restart_sequence = "\nHuman: " | |
| prompt = "The following is a conversation with an AI assistant. The assistant is helpful, creative, clever, and very friendly.\n\nHuman: Hello, who are you?\nAI: I am an AI created by OpenAI. How can I help you today?\nHuman: " | |
| def openai_create(prompt): | |
| response = openai.Completion.create( | |
| model="text-davinci-003", | |
| prompt=prompt, | |
| temperature=0.9, | |
| max_tokens=1500, | |
| top_p=1, | |
| frequency_penalty=0, | |
| presence_penalty=0.6, | |
| stop=[" Human:", " AI:"] | |
| ) | |
| return response.choices[0].text | |
| def chatgpt_clone(input, history): | |
| history = history or [] | |
| s = list(sum(history, ())) | |
| s.append(input) | |
| inp = ' '.join(s) | |
| output = openai_create(inp) | |
| history.append((input, output)) | |
| return history, history | |
| block = gr.Blocks() | |
| with block: | |
| gr.Markdown("""<h1><center>TestBot</center></h1> | |
| """) | |
| chatbot = gr.Chatbot() | |
| message = gr.Textbox(placeholder=prompt) | |
| state = gr.State() | |
| submit = gr.Button("SEND") | |
| submit.click(chatgpt_clone, inputs=[message, state], outputs=[chatbot, state]) | |
| block.launch() |