Update app.py

app.py

@@ -11,7 +11,7 @@ import numpy as np
 import cv2
 from PIL import Image
 
-MODEL_PATH = r"pose_landmarker_lite.task"
+# MODEL_PATH = r"pose_landmarker_lite.task"
 
 # Drawing landmarks
 # def draw_landmarks_on_image(rgb_image, detection_result):
@@ -41,7 +41,7 @@ MODEL_PATH = r"pose_landmarker_lite.task"
 
 def detection(image, conf_threshold=0.3):
     frame = cv2.flip(image, 1)
-    rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+    # rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
 
     rgb_frame=cv2.circle(rgb_frame,(90,90),(255,0,0),20)
     # mp_image = mp.Image(image_format=mp.ImageFormat.SRGB, data=rgb_frame)
@@ -56,7 +56,7 @@ def detection(image, conf_threshold=0.3):
 
 
 with gr.Blocks() as demo:
-    image = WebRTC(label="Stream", mode="send-receive", modality="video", height=480, width=640, mirror_webcam=True)
+    image = WebRTC(label="Stream", mode="send-receive", modality="video", height=480, width=640, time_limit=10)
     conf_threshold = gr.Slider(
         label="Confidence Threshold",
         minimum=0.0,