app.py

import openai
import gradio as gr

openai.api_key = "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"

start_sequence = "\nAI:"
restart_sequence = "\nHuman: "

prompt = "请输入你的问题 "

def openai_create(prompt):
    response = openai.Completion.create(
    model="text-davinci-003",
    prompt=prompt,
    temperature=0.9,
    max_tokens=3000,
    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.Interface(
    fn=chatgpt_clone,
    inputs=[
        gr.inputs.Textbox(placeholder=prompt, label="问题"),
        gr.inputs.Hidden(default=[]),
    ],
    outputs=[
        gr.outputs.Textbox(label="回答"),
        gr.outputs.Hidden(),
    ],
    title="清苑的AI",
    theme="compact",
    layout="vertical",
    description=prompt,
    allow_flagging=False,
)

block.launch()