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ZGDD/chat-robot

sourceHugging Faceupdated 3y agoView on Hugging Face
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1# -*- coding: utf-8 -*-2"""robot-chat.ipynb3 4Automatically generated by Colaboratory.5 6Original file is located at7    https://colab.research.google.com/drive/1I8kKT0soc2288I5sVj3dIr-f1QbRwPKz8"""9import openai10import os11import gradio as gr12 13openai.api_key = os.environ.get("OPENAI_API_KEY")14 15class Conversation:16    def __init__(self, prompt, num_of_round):17        self.prompt = prompt18        self.num_of_round = num_of_round19        self.messages = []20        self.messages.append({"role": "system", "content": self.prompt})21 22    def ask(self, question):23        try:24            self.messages.append( {"role": "user", "content": question})25            response = openai.ChatCompletion.create(26                model="gpt-3.5-turbo",27                messages=self.messages,28                temperature=0.5,29                max_tokens=2048,30                top_p=1,31            )32        except Exception as e:33            print(e)34            return e35 36        message = response["choices"][0]["message"]["content"]37        self.messages.append({"role": "assistant", "content": message})38        39        if len(self.messages) > self.num_of_round*2 + 1:40            del self.messages[1:3]41        return message42    43 44prompt = """你是一个问答机器人,你的回答需要满足以下要求:451. 你的回答必须是中文462. 回答限制在100个字以内"""47 48conv = Conversation(prompt, 5)49 50def predict(input, history=[]):51    history.append(input)52    response = conv.ask(input)53    history.append(response)54    responses = [(u,b) for u,b in zip(history[::2], history[1::2])]55    return responses, history56 57with gr.Blocks(css="#chatbot{height:350px} .overflow-y-auto{height:500px}") as chatRobot:58    chatbot = gr.Chatbot(elem_id="chatbot")59    state = gr.State([])60 61    with gr.Row():62        txt = gr.Textbox(show_label=False, placeholder="Enter text and press enter").style(container=False)63 64    txt.submit(predict, [txt, state], [chatbot, state])65 66chatRobot.launch()