Update app.py

app.py

@@ -1,14 +1,15 @@
 import gradio as gr
 import cv2
 import mediapipe as mp
+import numpy as np
 
 # Initialize mediapipe pose class
 mp_pose = mp.solutions.pose
 pose = mp_pose.Pose(static_image_mode=False, min_detection_confidence=0.5, model_complexity=1)
 mp_drawing = mp.solutions.drawing_utils
 
-def detectPose(frame):
-    frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+def detectPose(input_image):
+    frame = cv2.cvtColor(input_image, cv2.COLOR_BGR2RGB)
     results = pose.process(frame)
     if results.pose_landmarks:
         mp_drawing.draw_landmarks(frame, results.pose_landmarks, mp_pose.POSE_CONNECTIONS)
@@ -16,7 +17,7 @@ def detectPose(frame):
 
 iface = gr.Interface(
     fn=detectPose,
-    inputs="webcam",
+    inputs="image",
     outputs="image",
     title="Live Yoga Pose Detection",
     description="This app detects yoga poses from the live camera feed using MediaPipe.",