Update app.py

app.py

@@ -200,7 +200,7 @@ def app():
     with gr.Blocks(title="YOLOv9: Real-time Object Detection", css=".gradio-container {background:lightyellow;}"):
         with gr.Row():
             with gr.Column():
-                gr.HTML("<h2>Input Parameters</h2>")
+                gr.HTML("<h2>Input</h2>")
                 img_path = gr.Image(label="Image", height = 260, width = 410)
                 vid_path = gr.Video(label="Video", height = 260, width = 410)
                 #gr.HTML("<img src='flie/img_examples/clasess.png'>")
@@ -229,14 +229,14 @@ def app():
                 #gr.Examples(['./video_examples/video_1.mp4', './video_examples/video_2.mp4','./video_examples/video_3.mp4','./video_examples/video_4.mp4','./video_examples/video_5.mp4'], inputs=vid_path, label = "Video Example", cache_examples = False)
             with gr.Column(min_width = 270):
                 gr.HTML("<h2>Output</h2>")
-                output_image = gr.Image(type="numpy",label="Output", height = 260, width = 410)
+                output_image = gr.Image(type="numpy",label="Output Image", height = 260, width = 410)
                 #df = gr.BarPlot(show_label=False, x="label", y="counts", x_title="Labels", y_title="Counts", vertical=False)
-                output_video = gr.Video(label="Output", height = 260, width = 410) 
+                output_video = gr.Video(label="Output Video", height = 260, width = 410) 
                 #frame_counts_df = gr.LinePlot(show_label=False, x="frame", y="count", x_title="Frame", y_title="Counts", color="label")
                 fig = gr.Plot(label = "label")
                 #output_path = gr.Textbox(label="Output path")
             with gr.Column():
-                gr.HTML("<h2>Example, Model and Tracking Algorithm</h2>")
+                gr.HTML("<h2>Configuration</h2>")
                 model_id = gr.Dropdown(
                     label="Model",
                     choices=[