Update app.py

app.py

@@ -33,10 +33,10 @@ def fn_video(video_file, conf_thres, iou_thres, start_sec, duration):
     # Unfortunately, gradio doesn't play too nice with videos rn so we have to do some hackiness
     # with ffmpeg at the end of the function here.
     with tempfile.NamedTemporaryFile(suffix=".mp4") as temp_file:
-        out = cv2.VideoWriter(temp_file.name, cv2.VideoWriter_fourcc(*"MP4V"), 60, (1280, 720))
+        out = cv2.VideoWriter(temp_file.name, cv2.VideoWriter_fourcc(*"MP4V"), 120, (1280, 720))
 
         num_frames = 0
-        max_frames = duration * 1
+        max_frames = duration * 120
         while cap.isOpened():
             try:
                 ret, frame = cap.read()
@@ -73,7 +73,7 @@ image_interface = gr.Interface(
     title="Human Detection",
     description=(
         "Gradio demo for Human detection on images. To use it, simply upload your image or click one of the"
-        " examples to load them. Read more at the links below."
+        " examples to load them."
     ),
     allow_flagging=False,
     allow_screenshot=False,
@@ -85,8 +85,8 @@ video_interface = gr.Interface(
         gr.Video(type="file"),
         gr.Slider(0, 1, value=0.25, label="Confidence Threshold"),
         gr.Slider(0, 1, value=0.45, label="IOU Threshold"),
-        gr.Slider(0, 60, value=0, label="Start Second", step=1),
-        gr.Slider(0, 60 if pipeline.device.type != 'cpu' else 1, value=2, label="Duration", step=1),
+        gr.Slider(0, 120, value=0, label="Start Second", step=1),
+        gr.Slider(0, 120 if pipeline.device.type != 'cpu' else 1, value=2, label="Duration", step=1),
     ],
     outputs=gr.Video(type="file", format="mp4"),
     examples=[
@@ -97,7 +97,7 @@ video_interface = gr.Interface(
     title="Human Detection",
     description=(
         "Gradio demo for Human detection on videos. To use it, simply upload your video or click one of the"
-        " examples to load them. Read more at the links below."
+        " examples to load them."
     ),
     allow_flagging=False,
     allow_screenshot=False,
@@ -115,7 +115,7 @@ webcam_interface = gr.Interface(
     title="Human Detection",
     description=(
         "Gradio demo for Human detection on real time webcam. To use it, simply allow the browser to access"
-        " your webcam. Read more at the links below."
+        " your webcam."
     ),
     allow_flagging=False,
     allow_screenshot=False,