Spaces:
Running
Running
File size: 2,932 Bytes
495d32d 84295d5 495d32d 1a5c47e 06cc651 59d5736 06cc651 495d32d 84295d5 495d32d 59d5736 495d32d 59d5736 495d32d 84295d5 495d32d 84295d5 495d32d 84295d5 495d32d |
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 99 100 101 102 103 |
import streamlit as st
def preferences_select():
modeling_requirements = st.text_area(
"请描述你的数据分析目标与需求",
placeholder="例如：请帮我对数据进行可视化",
height=200,
key="modeling_requirements"
)
# 如果用户有输入（非空）
if st.session_state.additional_preference is not None:
st.chat_message("assistant").write(f"用户的需求是：{st.session_state.additional_preference}")
col1, col2, col3 = st.columns(3)
with col1:
report_style = st.radio(
"1. 报告风格",
["简洁直观", "适中平衡", "深度技术型"],
index=1,
)
with col2:
analysis_type = st.radio(
"2. 分析方向偏好",
["商业分析", "学术分析", "工程/产品分析"],
)
with col3:
model_pref = st.radio(
"3. 模型偏好",
["可解释性强", "预测性能最优", "训练时间短"],
index=0,
)
col1, col2, col3 = st.columns(3)
with col1:
missing_pref = st.radio(
"4. 缺失值处理方式",
["简单填补", "频率填补", "高级填补（KNN/MICE）"],
)
with col2:
lang_style = st.radio(
"5. 报告语言风格",
["通俗易懂", "商业风", "学术论文风"],
)
with col3:
feature_pref = st.radio(
"6. 特征工程偏好",
["少量关键特征", "大量候选特征", "只做基础处理"],
)
preferences = None
if st.button("▶️ 保存偏好设置", use_container_width=True):
preferences = {
"报告风格": report_style,
"模型偏好": model_pref,
"缺失值处理方式": missing_pref,
"特征工程偏好": feature_pref,
"报告语言风格": lang_style,
"分析方向偏好": analysis_type,
}
st.success("✅ 偏好设置已保存！")
st.session_state.additional_preference = modeling_requirements
st.session_state.preference_select = preferences
st.rerun()
return preferences
def prep_chat(agent):
"""渲染对话式建议区"""
with st.chat_message("assistant"):
st.write("我是 Autostat 自动模式决策助手，很高兴为您服务！\n\n"
"您可以在左侧边栏开启自动模式，我会协助您决策并一键完成所有分析")
if agent.plan is not None:
st.chat_message("assistant").write(agent.plan)
if __name__ == "__main__":
st.title("偏好设置")
st.markdown("---")
c = st.columns(2)
planner = st.session_state.planner_agent
with c[0].expander('偏好设置', True):
preferences_select()
with c[1].expander('自动模式决策报告', True):
prep_chat(planner)
|