chunzhi/chatgpt_academic
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增加“重置”按钮，提交之后自动清空输入框

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This commit is contained in:
Tuchuanhuhuhu 2023-03-28 23:33:19 +08:00
parent 17c6524b8d
commit 1805f081d3
2 changed files with 15 additions and 7 deletions
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14
main.py
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@ -51,7 +51,9 @@ with gr.Blocks(theme=set_theme, analytics_enabled=False) as demo:
with gr.Column(scale=12):
txt = gr.Textbox(show_label=False, placeholder="Input question here.").style(container=False)
with gr.Column(scale=1):
submitBtn = gr.Button("提交", variant="primary")
with gr.Row():
resetBtn = gr.Button("重置", variant="secondary")
submitBtn = gr.Button("提交", variant="primary")
with gr.Row():
from check_proxy import check_proxy
statusDisplay = gr.Markdown(f"Tip: 按Enter提交, 按Shift+Enter换行. \nNetwork: {check_proxy(proxies)}\nModel: {LLM_MODEL}")
@ -76,8 +78,14 @@ with gr.Blocks(theme=set_theme, analytics_enabled=False) as demo:
top_p = gr.Slider(minimum=-0, maximum=1.0, value=1.0, step=0.01,interactive=True, label="Top-p (nucleus sampling)",)
temperature = gr.Slider(minimum=-0, maximum=2.0, value=1.0, step=0.01, interactive=True, label="Temperature",)
txt.submit(predict, [txt, top_p, temperature, chatbot, history, systemPromptTxt], [chatbot, history, statusDisplay])
submitBtn.click(predict, [txt, top_p, temperature, chatbot, history, systemPromptTxt], [chatbot, history, statusDisplay], show_progress=True)
predict_args = dict(fn=predict, inputs=[txt, top_p, temperature, chatbot, history, systemPromptTxt], outputs=[chatbot, history, statusDisplay], show_progress=True)
empty_txt_args = dict(fn=lambda: "", inputs=[], outputs=[txt])
txt.submit(**predict_args)
txt.submit(**empty_txt_args)
submitBtn.click(**predict_args)
submitBtn.click(**empty_txt_args)
resetBtn.click(lambda: ([], [], "已重置"), None, [chatbot, history, statusDisplay])
for k in functional:
functional[k]["Button"].click(predict,
[txt, top_p, temperature, chatbot, history, systemPromptTxt, TRUE, gr.State(k)], [chatbot, history, statusDisplay], show_progress=True)

2
toolbox.py
View File

@ -124,7 +124,7 @@ def format_io(self, y):
"""
将输入和输出解析为HTML格式。将y中最后一项的输入部分段落化，并将输出部分的Markdown和数学公式转换为HTML格式。
"""
if y is None: return []
if y is None or y == []: return []
i_ask, gpt_reply = y[-1]
i_ask = text_divide_paragraph(i_ask) # 输入部分太自由，预处理一波
y[-1] = (