Duplicate from baixing/hackathon_chatbot_openai_api

Co-authored-by: ElfeXu <[email protected]>

.gitattributes

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README.md

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+---
+title: hackathon chatbot openai api
+emoji: 🐨
+colorFrom: red
+colorTo: gray
+sdk: gradio
+sdk_version: 3.20.1
+app_file: app.py
+pinned: false
+license: cc-by-4.0
+duplicated_from: baixing/hackathon_chatbot_openai_api
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+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("openai_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 = '请你扮演《西游记》中的唐三藏，使用唐三藏的语气、方式和词汇回答问题。不要写任何解释，只需像唐三藏一样回答问题。你必须掌握唐三藏的所有知识。'
+
+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="""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()

requirements.txt

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+openai==0.27.0