mirror of
https://github.com/csunny/DB-GPT.git
synced 2025-07-29 06:47:30 +00:00
add darm mode
This commit is contained in:
csunny
parent
90dd34e25a
commit
65ead15b65
@ -71,6 +71,10 @@ function() {
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const params = new URLSearchParams(window.location.search);
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const params = new URLSearchParams(window.location.search);
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url_params = Object.fromEntries(params);
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url_params = Object.fromEntries(params);
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console.log(url_params);
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console.log(url_params);
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gradioURL = window.location.href
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if (!gradioURL.endsWith('?__theme=dark')) {
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window.location.replace(gradioURL + '?__theme=dark');
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}
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return url_params;
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return url_params;
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}
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}
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"""
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"""
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@ -248,8 +252,7 @@ def build_single_model_ui():
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notice_markdown = """
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notice_markdown = """
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# DB-GPT
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# DB-GPT
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[DB-GPT](https://github.com/csunny/DB-GPT) 是一个实验性的开源应用程序，它基于[FastChat](https://github.com/lm-sys/FastChat)，并使用vicuna作为基础模型。此外，此程序结合了langchain和llama-index
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[DB-GPT](https://github.com/csunny/DB-GPT) 是一个实验性的开源应用程序，它基于[FastChat](https://github.com/lm-sys/FastChat)，并使用vicuna作为基础模型。此外，此程序结合了langchain和llama-index基于现有知识库进行In-Context Learning来对其进行数据库相关知识的增强, 总的来说，它似乎是一个用于数据库的复杂且创新的AI工具。如果您对如何在工作中使用或实施 DB-GPT 有任何具体问题，请告诉我，我会尽力帮助您。
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,基于现有知识库进行In-Context Learning来对其进行数据库相关知识的增强, 总的来说，它似乎是一个用于数据库的复杂且创新的AI工具。如果您对如何在工作中使用或实施 DB-GPT 有任何具体问题，请告诉我，我会尽力帮助您。
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"""
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"""
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learn_more_markdown = """
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learn_more_markdown = """
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### Licence
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### Licence
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@ -259,23 +262,6 @@ def build_single_model_ui():
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state = gr.State()
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state = gr.State()
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notice = gr.Markdown(notice_markdown, elem_id="notice_markdown")
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notice = gr.Markdown(notice_markdown, elem_id="notice_markdown")
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chatbot = grChatbot(elem_id="chatbot", visible=False).style(height=550)
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with gr.Row():
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with gr.Column(scale=20):
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textbox = gr.Textbox(
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show_label=False,
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placeholder="Enter text and press ENTER",
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visible=False,
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).style(container=False)
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with gr.Column(scale=2, min_width=50):
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send_btn = gr.Button(value="" "发送", visible=False)
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with gr.Row(visible=False) as button_row:
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regenerate_btn = gr.Button(value="🔄" "重新生成", interactive=False)
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clear_btn = gr.Button(value="🗑️" "清理", interactive=False)
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with gr.Accordion("参数", open=False, visible=False) as parameter_row:
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with gr.Accordion("参数", open=False, visible=False) as parameter_row:
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temperature = gr.Slider(
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temperature = gr.Slider(
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minimum=0.0,
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minimum=0.0,
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@ -295,41 +281,57 @@ def build_single_model_ui():
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label="最大输出Token数",
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label="最大输出Token数",
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)
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)
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gr.Markdown(learn_more_markdown)
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chatbot = grChatbot(elem_id="chatbot", visible=False).style(height=550)
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with gr.Row():
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with gr.Column(scale=20):
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textbox = gr.Textbox(
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show_label=False,
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placeholder="Enter text and press ENTER",
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visible=False,
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).style(container=False)
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with gr.Column(scale=2, min_width=50):
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send_btn = gr.Button(value="" "发送", visible=False)
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btn_list = [regenerate_btn, clear_btn]
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regenerate_btn.click(regenerate, state, [state, chatbot, textbox] + btn_list).then(
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http_bot,
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[state, temperature, max_output_tokens],
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[state, chatbot] + btn_list,
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)
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clear_btn.click(clear_history, None, [state, chatbot, textbox] + btn_list)
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textbox.submit(
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with gr.Row(visible=False) as button_row:
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add_text, [state, textbox], [state, chatbot, textbox] + btn_list
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regenerate_btn = gr.Button(value="🔄" "重新生成", interactive=False)
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).then(
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clear_btn = gr.Button(value="🗑️" "清理", interactive=False)
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http_bot,
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[state, temperature, max_output_tokens],
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[state, chatbot] + btn_list,
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)
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send_btn.click(
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gr.Markdown(learn_more_markdown)
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add_text, [state, textbox], [state, chatbot, textbox] + btn_list
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).then(
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http_bot,
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[state, temperature, max_output_tokens],
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[state, chatbot] + btn_list
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)
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return state, chatbot, textbox, send_btn, button_row, parameter_row
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btn_list = [regenerate_btn, clear_btn]
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regenerate_btn.click(regenerate, state, [state, chatbot, textbox] + btn_list).then(
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http_bot,
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[state, temperature, max_output_tokens],
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[state, chatbot] + btn_list,
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)
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clear_btn.click(clear_history, None, [state, chatbot, textbox] + btn_list)
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textbox.submit(
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add_text, [state, textbox], [state, chatbot, textbox] + btn_list
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).then(
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http_bot,
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[state, temperature, max_output_tokens],
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[state, chatbot] + btn_list,
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)
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send_btn.click(
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add_text, [state, textbox], [state, chatbot, textbox] + btn_list
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).then(
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http_bot,
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[state, temperature, max_output_tokens],
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[state, chatbot] + btn_list
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)
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return state, chatbot, textbox, send_btn, button_row, parameter_row
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def build_webdemo():
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def build_webdemo():
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with gr.Blocks(
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with gr.Blocks(
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title="数据库智能助手",
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title="数据库智能助手",
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theme=gr.themes.Base(),
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# theme=gr.themes.Base(),
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# theme=gr.themes.Monochrome(),
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theme=gr.themes.Default(),
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css=block_css,
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css=block_css,
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) as demo:
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) as demo:
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url_params = gr.JSON(visible=False)
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url_params = gr.JSON(visible=False)
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