0123

app.py

@@ -9,11 +9,13 @@ def load_model(시설유형):
     return loaded_pipeline
 
 # 예측 함수 정의
-def predict_cost(시설유형, 구조, 지하층수, 지상층수, 주차대수,  연면적, 대지면적, 건축면적, 조경면적, 발주년도, 발주월, 현장위치):
+def predict_cost(시설유형, 구조, 지하층수, 지상층수, 기준층층고, 최고높이, 연면적, 대지면적, 건축면적, 조경면적, 주차대수,  발주년도, 발주월, 현장위치):
     new_project = {
         '구조': [구조],
         '지하층수': [지하층수],
         '지상층수': [지상층수],
+        '기준층층고': [기준층층고],
+        '최고높이': [최고높이],
         '주차대수': [주차대수],
         '연면적': [연면적],
         '대지면적': [대지면적],
@@ -39,13 +41,15 @@ with gr.Blocks() as demo:
     with gr.Row():
         지하층수 = gr.Number(label="지하층수", value=1)
         지상층수 = gr.Number(label="지상층수", value=4)
-        주차수 = gr.Number(label="주차대수", value=120)
+        기준층층고 = gr.Number(label="기준층층고(m)", value=4.5)
+        최고높이 = gr.Number(label="최고높이(m)", value=33.9)
     with gr.Row():
         연면적 = gr.Number(label="연면적(m2)", value=12396)
         대지면적 = gr.Number(label="대지면적(m2)", value=5861)
         건축면적 = gr.Number(label="건축면적(m2)", value=2828)
         조경면적 = gr.Number(label="조경면적(m2)", value=933)
     with gr.Row():
+        주차수 = gr.Number(label="주차대수", value=120)
         발주년 = gr.Number(label="발주년도", value=2023)
         발주월 = gr.Number(label="발주월", value=9)
     btn = gr.Button("공사비 예측")
@@ -53,7 +57,7 @@ with gr.Blocks() as demo:
     btn.click(
         predict_cost,
         inputs=[
-            시설유형, 구조, 지하층수, 지상층수, 주차수, 연면적, 대지면적, 건축면적, 조경면적,  발주년, 발주월, 현장위치
+            시설유형, 구조, 지하층수, 지상층수, 기준층층고, 최고높이, 연면적, 대지면적, 건축면적, 조경면적, 주차수, 발주년, 발주월, 현장위치
         ],
         outputs=[
             gr.Textbox(label="건축공사비"),

강의형대학교.pkl

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기숙사.pkl

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기타시설.pkl

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노유자시설.pkl

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대형의료시설.pkl

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대형청사.pkl

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도서관.pkl

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복지시설.pkl

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복합형대학교.pkl

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복합형수련시설.pkl

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복합형체육시설.pkl

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복합형초중고.pkl

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실험용연구시설.pkl

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일반청사.pkl

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일반형연구소.pkl

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