File size: 3,652 Bytes
a1f93e9 d72c532 8988bbf 5799733 d72c532 459fbe3 8988bbf 5799733 8988bbf 5799733 a1f93e9 d72c532 459fbe3 5799733 d72c532 8988bbf a1f93e9 d72c532 a1f93e9 d72c532 8988bbf d72c532 d89d143 d72c532 5799733 d72c532 459fbe3 d72c532 5799733 459fbe3 5799733 459fbe3 5799733 8988bbf 459fbe3 d72c532 d89d143 459fbe3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 |
"""
来自 https://github.com/OpenLMLab/MOSS/blob/main/moss_web_demo_gradio.py
# 难点
## TODO
-[x] 代码和表格的预览
-[x] markdown解析：mdtex2html
-[ ] 可编辑chatbot：https://github.com/gradio-app/gradio/issues/4444
-[ ] 乱码问题
## Reference
- https://github.com/GaiZhenbiao/ChuanhuChatGPT/
"""
import config
from app_util import *
system_list = [
"You are a helpful assistant.",
"你是一个导游。",
"你是一个英语老师。",
"你是一个程序员。",
"你是一个心理咨询师。",
]
"""
TODO: 使用说明
"""
with gr.Blocks() as demo:
# Knowledge Distillation through Self Chatting
gr.HTML("""<h1 align="center">Distilling the Knowledge through Self Chatting</h1>""")
system = gr.Dropdown(
choices=system_list,
value=system_list[0],
allow_custom_value=True,
interactive=True,
label="System message"
)
chatbot = gr.Chatbot(avatar_images=("assets/man.png", "assets/bot.png"))
with gr.Row():
with gr.Column(scale=4):
generated_text = gr.Textbox(show_label=False, placeholder="...", lines=10, visible=False)
with gr.Row():
generate_btn = gr.Button("🤔️ Generate")
retry_btn = gr.Button("🔄 Regenerate")
undo_btn = gr.Button("↩️ Undo")
clear_btn = gr.Button("🗑️ Clear") # 🧹 Clear History (清除历史)
stop_btn = gr.Button("停止生成", variant="primary")
with gr.Column(scale=1):
# generate_query_btn = gr.Button("Generate First Query")
gr.Dropdown(
["moss", "chatglm-2", "chatpdf"],
value="moss",
label="model",
interactive=True,
# info="Will add more animals later!"
)
slider_max_tokens = gr.Slider(minimum=1, maximum=config.MAX_SEQUENCE_LENGTH,
value=config.DEFAULT_MAX_TOKENS, step=1, label="Max tokens")
slider_temperature = gr.Slider(minimum=0.1, maximum=10.0,
value=config.DEFAULT_TEMPERATURE, step=0.1, label="Temperature",
info="Larger temperature increase the randomness")
slider_top_p = gr.Slider(
minimum=0.1,
maximum=1.0,
value=config.DEFAULT_TOP_P,
step=0.05,
label="Top-p (nucleus sampling)",
)
########
history = gr.State([{"role": "system", "content": system_list[0]}])
system.change(reset_state, inputs=[system], outputs=[chatbot, history])
clear_btn.click(reset_state, inputs=[system], outputs=[chatbot, history])
generate_btn.click(generate, [chatbot, history], outputs=[generated_text, chatbot, history],
show_progress="full")
retry_btn.click(undo_generate, [chatbot, history], outputs=[generated_text, chatbot, history],
show_progress="full")
retry_btn.click(generate, [chatbot, history], outputs=[generated_text, chatbot, history],
show_progress="full")
undo_btn.click(undo_generate, [chatbot, history], outputs=[generated_text, chatbot, history],
show_progress="full")
slider_max_tokens.change(set_max_tokens, inputs=[slider_max_tokens])
slider_top_p.change(set_top_p, inputs=[slider_top_p])
slider_temperature.change(set_temperature, inputs=[slider_temperature])
# demo.queue().launch(share=False, server_name="0.0.0.0")
# demo.queue().launch(concurrency_count=1, max_size=5)
demo.queue().launch()
|