Update app.py

app.py

@@ -422,17 +422,20 @@ def create_gradio_interface():
             *weather_params
         )
     
-    with gr.Blocks() as interface:
+    with gr.Blocks(css="""
+        .contain {margin-left: auto; margin-right: auto; max-height: 800px}
+        .plot-container {height: 600px !important; width: 100% !important;}
+    """) as interface:
         with gr.Column():
             gr.Markdown("# Renewable Energy Potential Predictor")
             
-            # 입력 섹션 - 모든 입력을 하나의 Row에 배치
+            # 입력 섹션 - 하나의 Row에 모든 입력 배치
             with gr.Row(equal_height=True):
                 # 이미지/파일 입력
                 rgb_input = gr.Image(label="RGB Satellite Image", type="numpy", height=150, scale=1)
                 ndvi_input = gr.Image(label="NDVI Image", type="numpy", height=150, scale=1)
                 terrain_input = gr.Image(label="Terrain Map", type="numpy", height=150, scale=1)
-                elevation_input = gr.File(label="Elevation Data (NPY)", height=150, scale=1)
+                elevation_input = gr.File(label="Elevation Data (NPY)", scale=1)
                 
                 # 날씨 파라미터 입력
                 with gr.Column(scale=1):
@@ -443,7 +446,8 @@ def create_gradio_interface():
                     predict_btn = gr.Button("Generate Predictions", variant="primary", size="lg")
             
             # 출력 섹션 - 전체 너비 사용
-            output_plot = gr.Plot(label="Prediction Results", container=True, height=600)
+            with gr.Box(elem_classes="plot-container"):
+                output_plot = gr.Plot(label="Prediction Results", container=True)
             
             # 예제 섹션
             examples = load_examples_from_directory("filtered_climate_data")