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Duplicate from baixing/hackathon_chatbot_simple
Browse filesCo-authored-by: ElfeXu <Elfe@users.noreply.huggingface.co>
- .gitattributes +34 -0
- README.md +14 -0
- app.py +29 -0
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README.md
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---
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title: hackathon chatbot simple
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emoji: 🐨
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colorFrom: red
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colorTo: gray
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sdk: gradio
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sdk_version: 3.20.1
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app_file: app.py
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pinned: false
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license: cc-by-4.0
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duplicated_from: baixing/hackathon_chatbot_simple
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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import gradio as gr
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history = {}
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# 修改本函数,来实现你自己的 chatbot
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# p: 对机器人说话的内容
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# 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。
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# 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。
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# 返回值:[type, content]
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# 详见 https://huggingface.co/spaces/baixing/hackathon_test/blob/main/bot-api.md
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def chat(p, qid, uid):
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global history
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if uid in history:
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count = history[uid]
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else:
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count = 0
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count = count+1
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history[uid] = count # 统计每个 uid 说过的话的条数
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return ["text", f"{count} 我听到你刚说:{p}"]
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iface = gr.Interface(fn=chat,
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inputs=["text", "text", "text"],
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outputs=["text", "text"],
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description="""这是一个极其简单的示范程序,只会重复你的话。
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已添加多轮对话的极简示范。能分别统计不同的 uid 的对话轮数。但本实现是内存中的,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。
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你只需要 duplicate 本项目,修改 chat 函数,就能造一个能到瀛海威广场注册的机器人了。
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[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)
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""")
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iface.launch()
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