Spaces:
Sleeping
Sleeping
feat: Implement colored output for thinking tokens
Browse files
GEMINI.md
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# Todolist
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## 未完成
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- [ ] (进行中)
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- [ ] (已暂停) 搜索 `huggingface_hub` 文档,确认是否存在用于重启 Space 的 API。
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## 已完成
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- [x] 修改 `app.py`,移除 `Ling-flash-2.0` 模型,只保留 `Ring-mini-2.0`。
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- [x] **(用户决策)** 确认 `Ling-flash-2.0` 模型过大,暂时移除,仅使用 `Ring-mini-2.0`。
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- [x] 搭建 LangGraph 基础架构并重构 `app.py`。
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# Todolist
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## 未完成
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- [ ] (进行中) 为“思考”和“正文” token 实现不同的颜色显示。
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- [ ] (已暂停) 搜索 `huggingface_hub` 文档,确认是否存在用于重启 Space 的 API。
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## 已完成
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- [x] 实现调试模式以观察“思考”和“正文” token 的区别。
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- [x] 修改 `app.py`,移除 `Ling-flash-2.0` 模型,只保留 `Ring-mini-2.0`。
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- [x] **(用户决策)** 确认 `Ling-flash-2.0` 模型过大,暂时移除,仅使用 `Ring-mini-2.0`。
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- [x] 搭建 LangGraph 基础架构并重构 `app.py`。
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app.py
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# --- Gradio UI ---
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with gr.Blocks() as demo:
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gr.Markdown("# Ling Playground")
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chatbot = gr.Chatbot()
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token_debugger = gr.Textbox(label="Token Debugger", interactive=False)
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clear = gr.ClearButton([msg, chatbot, token_debugger])
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def user(user_message, history):
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return "", history + [[user_message, None]]
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def bot(history):
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user_message = history[-1][0]
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history[-1][1] = ""
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yield history
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msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(
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bot, chatbot,
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)
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clear.click(lambda: None, None, chatbot, queue=False)
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# --- Gradio UI ---
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with gr.Blocks(css=".thinking { color: gray; font-style: italic; }") as demo:
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gr.Markdown("# Ling Playground")
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chatbot = gr.Chatbot()
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msg = gr.Textbox()
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clear = gr.ClearButton([msg, chatbot])
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def user(user_message, history):
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return "", history + [[user_message, None]]
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def bot(history):
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user_message = history[-1][0]
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history[-1][1] = ""
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for response in generate_response(user_message, history[:-1]):
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html_response = response.replace("<think>", "<div class='thinking'>")
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html_response = html_response.replace("</think>", "</div>")
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history[-1][1] = html_response
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yield history
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msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(
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bot, chatbot, chatbot
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)
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clear.click(lambda: None, None, chatbot, queue=False)
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comp.py
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response = ""
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for new_text in streamer:
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response += new_text
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yield response
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# wait for the generation thread to finish
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thread.join()
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response = ""
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for new_text in streamer:
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response += new_text
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yield response
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# wait for the generation thread to finish
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thread.join()
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