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import gradio as gr
from predict import predict
from toolbox import format_io, find_free_port
try: from config_private import proxies, WEB_PORT, LLM_MODEL
except: from config import proxies, WEB_PORT, LLM_MODEL
# 对一些丧心病狂的实验性功能模块进行测试
from functional_crazy import get_crazy_functionals, on_file_uploaded, on_report_generated
crazy_functional = get_crazy_functionals()
# 处理markdown文本格式的转变
gr.Chatbot.postprocess = format_io
# 做一些外观色彩上的调整
from theme import adjust_theme
set_theme = adjust_theme()
with gr.Blocks(theme=set_theme, analytics_enabled=False) as demo:
gr.HTML(title_html)
with gr.Row():
with gr.Column(scale=2):
chatbot = gr.Chatbot()
chatbot.style(height=1000)
chatbot.style()
history = gr.State([])
TRUE = gr.State(True)
FALSE = gr.State(False)
with gr.Column(scale=1):
with gr.Row():
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():
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}")
with gr.Row():
for k in functional:
variant = functional[k]["Color"] if "Color" in functional[k] else "secondary"
functional[k]["Button"] = gr.Button(k, variant=variant)
with gr.Row():
gr.Markdown("以下部分实验性功能需从input框读取路径.")
with gr.Row():
for k in crazy_functional:
variant = crazy_functional[k]["Color"] if "Color" in crazy_functional[k] else "secondary"
crazy_functional[k]["Button"] = gr.Button(k, variant=variant)
with gr.Row():
gr.Markdown("上传本地文件供上面的实验性功能调用.")
with gr.Row():
file_upload = gr.Files(label='任何文件,但推荐上传压缩文件(zip, tar)', file_count="multiple")
systemPromptTxt = gr.Textbox(show_label=True, placeholder=f"System Prompt", label="System prompt", value=initial_prompt).style(container=True)
#inputs, top_p, temperature, top_k, repetition_penalty
with gr.Accordion("arguments", open=False):
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=5.0, 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)
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)
file_upload.upload(on_file_uploaded, [file_upload, chatbot, txt], [chatbot, txt])
for k in crazy_functional:
click_handle = crazy_functional[k]["Button"].click(crazy_functional[k]["Function"],
[txt, top_p, temperature, chatbot, history, systemPromptTxt, gr.State(PORT)], [chatbot, history, statusDisplay]
)
try: click_handle.then(on_report_generated, [file_upload, chatbot], [file_upload, chatbot])
except: pass |