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Delete app.py
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app.py
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import os,openai
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import gradio as gr
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class Conversation:
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def __init__(self,prompt,num_of_round):
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self.prompt = prompt
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self.num_of_round = num_of_round
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self.message = []
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self.message.append({'role':'system','content':self.prompt})
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def ask(self,question):
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try:
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self.message.append({'role':'user','content':question})
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response = openai.ChatCompletion.create(
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model = 'gpt-3.5-turbo',
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message=self.message,
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temperature = 0.5,
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max_tokens=2048,
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top_p=1
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)
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except Exception as e:
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print(e)
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return e
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message = response['choices'][0]['message']['content']
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num_of_tokens = response['usage']['total_tokens']
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self.message.append({'role':'assistant','content': message})
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if len(self.message) > self.num_of_round *2-1:
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del self.message[1:3]
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return message,num_of_tokens
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prompt = """你是一个中国厨师,用中文回答做菜的问题。你的回答需要满足以下要求:
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1. 你的回答必须是中文
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2. 回答限制在100个字以内"""
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conv = Conversation(prompt,10)
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def answer(question,history=[]):
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history.append(question)
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response = conv.ask(question)
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history.append(response)
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response = [(u,b) for u ,b in zip(history[::2],history[1::2])]
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return response,history
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with gr.Blocks(css='#chatbot{height:300px} .overflow-y-auto{height:500px}') as demo:
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chatbot = gr.Chatbot(elem_id = 'chatbot')
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state = gr.State([])
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with gr.Row():
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txt = gr.Textbox(show_label = False,placeholder = 'Enter text and press enter').style(container=False)
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txt.submit(answer,[txt,state],[chatbot,state])
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demo.launch()
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