Upload app.py

app.py

@@ -0,0 +1,46 @@
+import streamlit as st
+from visualize import plotSurface
+from DecisionTree import predictor
+
+def md_contents():
+    collapse_content = """
+    <details>
+    <summary>Getting started</summary>
+    <a href="https://mp.weixin.qq.com/s/OFoTbEcvbe-k3Ys-wTStPA">streamlit 极简入门</a>
+    </details>
+    
+    <details>
+    <summary>Additional knowledge</summary>
+    <a href="https://mp.weixin.qq.com/s/74ehblIzwe4rmCM6K-ynEA">决策树的可视化</a>
+    
+    </details>
+    
+    """
+    st.title("决策树西瓜挑选器")
+    st.markdown(collapse_content, unsafe_allow_html=True)
+
+def body():    
+    predictor()
+    st.markdown("---")
+    st.write("Source Code")
+    with st.expander("data.py", expanded=False):
+        with open("data.py", encoding="UTF-8") as f:
+            st.code(f.read(), language="python")
+
+    with st.expander("DecisionTree.py", expanded=False):
+        with open("DecisionTree.py", encoding="UTF-8") as f:
+            st.code(f.read(), language="python")
+
+    with st.expander("visualize.py", expanded=False):
+        with open("visualize.py", encoding="UTF-8") as f:
+            st.code(f.read(), language="python")
+
+    if st.checkbox("decisionTreeViz"):
+        # viz = decisionTreeViz(model)
+        # svg = viz.svg()
+        # svg_write(svg)
+        ps=plotSurface()
+
+if __name__ == '__main__':
+    md_contents()
+    body()