default value

app.py

@@ -37,19 +37,19 @@ def predict(construction_type, underground_floors, aboveground_floors, total_are
 iface = gr.Interface(
     fn=predict,
     inputs=[
-        gr.Textbox(label="구조"),
-        gr.Number(label="지하층수"),
-        gr.Number(label="지상층수"),
-        gr.Number(label="연면적(m2)"),
-        gr.Number(label="대지면적(m2)"),
-        gr.Number(label="건축면적(m2)"),
-        gr.Number(label="조경면적(m2)"),
-        gr.Number(label="주차대수"),
-        gr.Number(label="발주년도"),
-        gr.Dropdown(range(1, 13), label="발주월"),
-        gr.Number(label="공사기간(일))"),
-        gr.Textbox(label="현장위치(도/시)"),
-        gr.Textbox(label="건축법상용도")
+        gr.Textbox(label="구조", default="철근콘크리트조"),
+        gr.Number(label="지하층수", default=1),
+        gr.Number(label="지상층수", default=1),
+        gr.Number(label="연면적", default=300),
+        gr.Number(label="대지면적", default=500),
+        gr.Number(label="건축면적", default=120),
+        gr.Number(label="조경면적", default=150),
+        gr.Number(label="주차수", default=50),
+        gr.Number(label="발주년", default=2023),
+        gr.Number(label="발주월", default=9),
+        gr.Number(label="공사기간", default=100),
+        gr.Textbox(label="현장위치", default="경기도"),
+        gr.Textbox(label="건축법상용도", default="업무시설"),
     ],
     outputs=[
         gr.Textbox(label="건축공사비"),
@@ -58,7 +58,9 @@ iface = gr.Interface(
         gr.Textbox(label="통신공사비"),
         gr.Textbox(label="토목공사비"),
         gr.Textbox(label="조경공사비")
-    ]
+    ],
+    title="HG 공사비 예측 서비스",
+    description="프로젝트 개요를 기반으로 공사비를 예측합니다."
 )
 
 # Gradio 앱을 실행합니다.

requirements.txt

@@ -1,3 +1,4 @@
 pandas
 scikit-learn
+pickle-mixin
 gradio