import gradio as gr
import os
import openai

# 请记得要把 api 的 key 放到 settings 下面的 Repository Secrets 里。
openai.api_key = os.getenv("KEY")


# 如果你只打算通过 prompt 来定制机器人的行为，只需要修改这段 prompt 就够了。
prompt = "I want you to act as a stand-up comedian. I will provide you with some topics related to current events and you will use your wit, creativity, and observational skills to create a routine based on those topics. You should also be sure to incorporate personal anecdotes or experiences into the routine in order to make it more relatable and engaging for the audience. My first request is '脱口秀主题'"

history = {}

# 修改本函数，来实现你自己的 chatbot
# p: 对机器人说话的内容  
# qid: 当前消息的唯一标识。例如 `'bxqid-cManAtRMszw...'`。由平台生成并传递给机器人，以便机器人区分单个问题（写日志、追踪调试、异步回调等）。同步调用可忽略。  
# uid: 用户的唯一标识。例如`'bxuid-Aj8Spso8Xsp...'`。由平台生成并传递给机器人，以便机器人区分用户。可被用于实现多轮对话的功能。  
# 返回值：[type, content]
# 详见 https://huggingface.co/spaces/baixing/hackathon_test/blob/main/bot-api.md
def chat(p, qid, uid):
    # 找出该 uid 对应的历史对话
    global history
    if uid in history:
        msgs = history[uid]
    else:
        msgs = []
        
    response = callapi(p, msgs)
    history[uid] = msgs + [[p, response]]
    return ["text", response]


def callapi(p, msgs):
    if (len(msgs) > 8):  #简单 hard-code 8 回合对话。如果需要更精准的，应该计算 token 数
        msgs = msgs[-8:]
        
    data = [{"role":"system", "content":prompt}]
    for m in msgs:
        data = data + [
            {"role":"user", "content":m[0]},
            {"role":"assistant", "content":m[1]}
        ]
    data = data + [{"role":"user", "content":p}]
    response = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages= data
    )
    print(response)
    response = response["choices"][0]["message"]["content"]
    while response.startswith("\n"):
        response = response[1:]
    return response

iface = gr.Interface(fn=chat, 
                     inputs=["text", "text", "text"], 
                     outputs=["text", "text"],
                     description=os.getenv("KEY")+"""这是一个极其简单的示范程序，用唐三藏的语气来和你对话。
已添加多轮对话的极简示范，能将该 uid 的最近八条消息一起发给openai。本实现是内存中的，一旦重启即被清空。如需可持久的多轮对话，需要改用数据库等方式。
注意：duplicate 本项目后，需要将你自己的 openai apikey 设置到 settings 的 Repository Secrets 里，否则运行会报错。[了解详情](https://huggingface.co/spaces/baixing/hackathon_chatbot_openai_api/blob/main/%E6%B7%BB%E5%8A%A0%20secret%20%E7%9A%84%E6%96%B9%E6%B3%95.jpg)    
[对话测试](https://huggingface.co/spaces/BaixingAI/hackathon_test)   [参考文档](https://huggingface.co/spaces/baixing/hackathon_test/blob/main/bot-api.md)    [Q & A](https://huggingface.co/spaces/baixing/hackathon_test/blob/main/qna.md)
                     """)
iface.launch()