Update app.py

app.py

@@ -5,8 +5,6 @@ import sys
 import os
 sys.path.append(os.path.dirname(os.path.abspath(__file__)))
 
-
-
 def process_video(video):
     # 打开视频文件
     cap = cv2.VideoCapture(video)
@@ -32,28 +30,24 @@ title = "Welcome to DDM DeepSort"
 description = "Upload a video to process it using DDM and DeepSORT."
 
 # Initialize Gradio interface with title and description
-demo = gr.Interface(
-    fn=app_main,
-    inputs="video",
-    outputs="video",
-    title=title,
-    description=description
-)
-
-demo_video = gr.Video(value="DDMDeepsort1.mp4", label="Demo Video")
-
-html_content = """
-<div style="text-align: center;">
-    <h1>Welcome to My Video Processing App</h1>
-    <p>The author is a third-year undergraduate student at the School of Intelligent Science and Technology, Nanjing University, Suzhou Campus. </p>
-    <p>Since this project uses Hugging Face's free CPU, the processing speed is very slow. In the worst case, even a video with a dozen frames can take several minutes to process. Therefore, if possible, it is recommended to deploy on a device with a better GPU.</p>
-    <p>Although the YOLOv5 model supports up to 80 classes, my project is primarily focused on autonomous driving. Therefore, objects other than people and cars will be excluded after object detection.</p>
-    <p>If this is your first attempt, ensure that the video includes at least people and cars. Additionally, it's recommended that the video is not too long, ideally within 10 seconds.</p>
-</div>
-"""
-with demo:
-    gr.HTML(html_content)
-    demo_video
+with gr.Blocks() as demo:
+    gr.HTML("""
+    <div style="text-align: center;">
+        <h1>Welcome to My Video Processing App</h1>
+        <p>The author is a third-year undergraduate student at the School of Intelligent Science and Technology, Nanjing University, Suzhou Campus. </p>
+        <p>Since this project uses Hugging Face's free CPU, the processing speed is very slow. In the worst case, even a video with a dozen frames can take several minutes to process. Therefore, if possible, it is recommended to deploy on a device with a better GPU.</p>
+        <p>Although the YOLOv5 model supports up to 80 classes, my project is primarily focused on autonomous driving. Therefore, objects other than people and cars will be excluded after object detection.</p>
+        <p>If this is your first attempt, ensure that the video includes at least people and cars. Additionally, it's recommended that the video is not too long, ideally within 10 seconds.</p>
+    </div>
+    """)
+    
+    gr.Interface(
+        fn=app_main,
+        inputs="video",
+        outputs="video",
+        title=title,
+        description=description
+    )
+    gr.Video(value="DDMDeepsort1.mp4", label="Demo Video")
 
 demo.launch()
-