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Update app.py
Browse files
app.py
CHANGED
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@@ -56,6 +56,10 @@ def respond(
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for event in completion:
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if hasattr(event.choices[0].delta, 'reasoning_content') and event.choices[0].delta.reasoning_content:
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if is_reasoning_start:
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response += '> **Start thinking**\n\n'
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@@ -75,44 +79,41 @@ def respond(
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example_prompts = [
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[
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"Write a short papragraph where the 1st letter of each sentence spells out the word 'CODE'. The message should appear natural and not obviously hide this pattern.",
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"
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0.8,
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0.85
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],
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[
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"Compose an engaging travel blog post about a recent trip to Hawaii, highlighting cultural experiences and must-see attractions.",
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"
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0.3,
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0.9
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],
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[
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"Why has online learning been able to spread rapidly in recent years?",
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"
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0.1,
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0.95
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],
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[
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"How many 'e' in Deeplearning?",
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"
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1.2,
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0.75
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],
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[
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"Write a 3-line poem",
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"
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0.6,
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0.88
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]
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]
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["你好,能推荐一部电影吗?", "你是一个电影推荐助手", 512, 0.7, 0.95],
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["解释量子力学", "你是一个物理教授", 1024, 0.5, 0.9]
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]
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latex_delimiters = [
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{"left": "$$", "right": "$$", "display": True},
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{"left": "\\[", "right": "\\]", "display": True},{"left": "$", "right": "$", "display": False},
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@@ -125,9 +126,9 @@ chatbot = gr.Chatbot(latex_delimiters=latex_delimiters, scale=9)
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demo = gr.ChatInterface(respond,
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title="Hunyuan-T1",
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chatbot=chatbot,
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description="当前体验demo为非联网Hunyuan-T1 最新推理模型,完整版联网/非联网能力即将在元宝上线,敬请期待!</br>The current demo is the latest reasoning model of Hunyuan-T1. The full version with browsing will be launched on Tencent Yuanbao soon. Stay tuned."
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)
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if __name__ == "__main__":
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for event in completion:
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if message == "深圳哪里好玩?":
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print(111111)
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print(event.choices[0].delta.reasoning_content)
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print(event.choices[0].delta.content)
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if hasattr(event.choices[0].delta, 'reasoning_content') and event.choices[0].delta.reasoning_content:
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if is_reasoning_start:
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response += '> **Start thinking**\n\n'
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example_prompts = [
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[
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"Write a short papragraph where the 1st letter of each sentence spells out the word 'CODE'. The message should appear natural and not obviously hide this pattern.",
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"你是一个电影推荐助手",
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256,
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0.8,
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0.85
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],
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[
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"Compose an engaging travel blog post about a recent trip to Hawaii, highlighting cultural experiences and must-see attractions.",
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"你是一个AI教授",
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128,
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0.3,
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0.9
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],
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[
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"Why has online learning been able to spread rapidly in recent years?",
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"你是一个数学老师",
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64,
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0.1,
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0.95
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],
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[
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"How many 'e' in Deeplearning?",
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"你是一个科幻作家",
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512,
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1.2,
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0.75
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],
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[
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"Write a 3-line poem",
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"你是一个历史学者",
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384,
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0.6,
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0.88
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]
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]
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latex_delimiters = [
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{"left": "$$", "right": "$$", "display": True},
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{"left": "\\[", "right": "\\]", "display": True},{"left": "$", "right": "$", "display": False},
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demo = gr.ChatInterface(respond,
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title="Hunyuan-T1",
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examples=example_prompts,
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chatbot=chatbot,
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description="当前体验demo为非联网Hunyuan-T1 最新推理模型,完整版联网/非联网能力即将在元宝上线,敬请期待!</br>The current demo is the latest reasoning model of Hunyuan-T1. The full version with browsing will be launched on Tencent Yuanbao soon. Stay tuned."
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)
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if __name__ == "__main__":
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