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Create app.py
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app.py
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import os
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import openai
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import gradio as gr
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openai.api_key = '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'
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#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
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def clean_textbox(*args):
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n = len(args)
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return [""] * n
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class ChatGPT:
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def __init__(self):
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self.messages = [{'role': 'system', 'content': "You are now a very useful maid assistant! If you have a question you can't answer, please reply with As a classy girl, I can't answer this question"}]
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def reset(self, *args):
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self.messages = [{'role': 'system', 'content': "You are now a very useful maid assistant! If you have a question you can't answer, please reply with As a classy girl, I can't answer this question"}]
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return clean_textbox(*args)
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def chat(self, prompt):
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self.messages.append({"role": "user", "content": prompt})
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completion = openai.ChatCompletion.create(
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model="gpt-3.5-turbo",
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messages=self.messages,
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temperature=0.7
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)
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res_msg = completion.choices[0].message["content"].strip()
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self.messages.append({"role": "assistant", "content": res_msg})
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return res_msg
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if __name__ == '__main__':
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my_chatgpt = ChatGPT()
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with gr.Blocks(title="ChatGPT") as demo:
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gr.Markdown('''
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# ChatGPT
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''')
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with gr.Row():
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with gr.Column(scale=9):
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prompt = gr.Text(label='ChatGPT_Prompt', show_label=False, lines=3,
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placeholder='ChatGPT Prompt')
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res = gr.Text(label='ChatGPT_result', show_label=False, lines=3,
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placeholder='chatgpt results')
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with gr.Column(scale=1):
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btn_gen = gr.Button(value="send", variant='primary')
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btn_clear = gr.Button(value="restart chat")
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gr.Examples([
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["How to Become a My channel Grow more Pyresearch youtube channel"],
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["Suppose there is a pond with an infinite amount of water in it. There are currently 2 empty jugs with volumes of 5 liters and 6 liters respectively. The problem is how to get 3 liters of water from the pond with only these 2 jugs."],
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["Please help me with C++Write quick sort code."]],
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inputs=[prompt],
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outputs=[res],
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fn=my_chatgpt.chat,
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cache_examples=False)
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btn_gen.click(fn=my_chatgpt.chat, inputs=prompt,
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outputs=res)
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btn_clear.click(fn=my_chatgpt.reset,
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inputs=[prompt, res],
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outputs=[prompt, res])
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demo.queue()
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demo.launch()
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