101 lines
2.7 KiB
Python
101 lines
2.7 KiB
Python
import streamlit as st
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st.set_page_config(
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page_title="ChatGLM3 Demo",
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page_icon=":robot:",
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layout='centered',
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initial_sidebar_state='expanded',
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)
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import demo_chat, demo_ci, demo_tool
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from enum import Enum
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DEFAULT_SYSTEM_PROMPT = '''
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You are ChatGLM3, a large language model trained by Zhipu.AI. Follow the user's instructions carefully. Respond using markdown.
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'''.strip()
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# Set the title of the demo
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st.title("ChatGLM3 Demo")
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# Add your custom text here, with smaller font size
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st.markdown(
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"<sub>智谱AI 公开在线技术文档: https://lslfd0slxc.feishu.cn/wiki/WvQbwIJ9tiPAxGk8ywDck6yfnof </sub> \n\n <sub> 更多 ChatGLM3-6B 的使用方法请参考文档。</sub>",
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unsafe_allow_html=True)
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class Mode(str, Enum):
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CHAT, TOOL, CI = '💬 Chat', '🛠️ Tool', '🧑💻 Code Interpreter'
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with st.sidebar:
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top_p = st.slider(
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'top_p', 0.0, 1.0, 0.8, step=0.01
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)
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temperature = st.slider(
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'temperature', 0.0, 1.5, 0.95, step=0.01
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)
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repetition_penalty = st.slider(
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'repetition_penalty', 0.0, 2.0, 1.1, step=0.01
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)
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max_new_token = st.slider(
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'Output length', 5, 32000, 256, step=1
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)
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cols = st.columns(2)
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export_btn = cols[0]
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clear_history = cols[1].button("Clear History", use_container_width=True)
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retry = export_btn.button("Retry", use_container_width=True)
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system_prompt = st.text_area(
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label="System Prompt (Only for chat mode)",
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height=300,
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value=DEFAULT_SYSTEM_PROMPT,
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)
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prompt_text = st.chat_input(
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'Chat with ChatGLM3!',
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key='chat_input',
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)
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tab = st.radio(
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'Mode',
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[mode.value for mode in Mode],
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horizontal=True,
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label_visibility='hidden',
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)
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if clear_history or retry:
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prompt_text = ""
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match tab:
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case Mode.CHAT:
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demo_chat.main(
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retry=retry,
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top_p=top_p,
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temperature=temperature,
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prompt_text=prompt_text,
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system_prompt=system_prompt,
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repetition_penalty=repetition_penalty,
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max_new_tokens=max_new_token
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)
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case Mode.TOOL:
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demo_tool.main(
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retry=retry,
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top_p=top_p,
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temperature=temperature,
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prompt_text=prompt_text,
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repetition_penalty=repetition_penalty,
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max_new_tokens=max_new_token,
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truncate_length=1024)
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case Mode.CI:
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demo_ci.main(
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retry=retry,
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top_p=top_p,
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temperature=temperature,
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prompt_text=prompt_text,
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repetition_penalty=repetition_penalty,
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max_new_tokens=max_new_token,
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truncate_length=1024)
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case _:
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st.error(f'Unexpected tab: {tab}')
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