Update app.py

app.py

@@ -1,4 +1,4 @@
-#import transformers
+import transformers
 import gradio as gr
 
 # Install mediapipe
@@ -12,6 +12,7 @@ from time import time
 import mediapipe as mp
 import matplotlib.pyplot as plt
 #from openpose import pyopenpose as op
+from transformers import pipeline
 
 #*******************Initialize the Pose Detection Model*****************
 
@@ -369,7 +370,8 @@ def classifyPose(landmarks, output_image, display=False):
 #******************************Pose Classification On Real-Time Webcam Feed*****************
 
 # Setup Pose function for video.
-pose_video = mp_pose.Pose(static_image_mode=False, min_detection_confidence=0.5, model_complexity=1)
+#pose_video = mp_pose.Pose(static_image_mode=False, min_detection_confidence=0.5, model_complexity=2)
+pose_video = mp_pose.Pose(static_image_mode=False, min_detection_confidence=0.5, min_tracking_confidence=0.5)
 
 # Initialize the VideoCapture object to read from the webcam.
 camera_video = cv2.VideoCapture(0)
@@ -435,3 +437,6 @@ iface = gr.Interface(
     title="Live Yoga Pose Detection",
     description="This app detects yoga poses from the live camera feed using MediaPipe.",
 )
+
+# Launch the interface
+iface.launch()