Update app.py

app.py

@@ -176,43 +176,44 @@ cleaning_time_outputs = [
     gr.Textbox(label="뒤 청소 시간")
 ]
 
+
 with gr.Blocks(css=".column-container {height: 100%; display: flex; flex-direction: column; justify-content: space-between;}") as demo:
-    gr.Markdown("<h1 style='text-align: center;'>Environmental Factor-Based Contamination, Gradient, & Cleaning Time Prediction</h1>")
-    gr.Markdown("This application predicts the contamination levels, gradients, and cleaning times for different parts of a car's LiDAR system based on environmental factors such as velocity, temperature, precipitation, and humidity.")
+    gr.Markdown("<h1 style='text-align: center;'>환경 요인 기반 오염도, 기울기 및 청소 시간 예측</h1>")
+    gr.Markdown("이 애플리케이션은 속도, 온도, 강수량 및 습도와 같은 환경 요인을 기반으로 자동차의 LiDAR 시스템의 다양한 부위에 대한 오염도, 기울기 및 청소 시간을 예측합니다.")
     
     # Top Section: Inputs and Car Image
     with gr.Row():
         with gr.Column(scale=2, elem_classes="column-container"):
-            gr.Markdown("### Input Parameters")
+            gr.Markdown("### 입력 매개변수")
             for inp in inputs:
                 inp.render()
-            submit_button = gr.Button(value="Submit", variant="primary")
-            clear_button = gr.Button(value="Clear")
+            submit_button = gr.Button(value="제출", variant="primary")
+            clear_button = gr.Button(value="초기화")
 
         with gr.Column(scale=1):
-            gr.Markdown("### Location of LiDARs")
+            gr.Markdown("### LiDAR 위치")
             gr.Image(image_path)
 
     # Bottom Section: Outputs (Three columns)
     with gr.Row():
         with gr.Column(scale=2):
-            gr.Markdown("### Contamination Predictions")
+            gr.Markdown("### 오염도 예측")
             for out in contamination_outputs:
                 out.render()
 
         with gr.Column(scale=2):
-            gr.Markdown("### Gradient Predictions")
+            gr.Markdown("### 기울기 예측")
             for out in gradients_outputs:
                 out.render()
 
         with gr.Column(scale=2):
-            gr.Markdown("### Cleaning Time Predictions")
+            gr.Markdown("### 청소 시간 예측")
             for out in cleaning_time_outputs:
                 out.render()
 
     # Graph below the outputs
     with gr.Row():
-        plot_output = gr.Plot(label="Contamination Levels Over Time")
+        plot_output = gr.Plot(label="시간 경과에 따른 오염도")
 
     submit_button.click(
         fn=predict_and_plot, 
@@ -222,3 +223,4 @@ with gr.Blocks(css=".column-container {height: 100%; display: flex; flex-directi
     clear_button.click(fn=lambda: None)
 
 demo.launch()
+