Update app.py

app.py

@@ -11,7 +11,6 @@ classifier = Classifier("keras_model.h5", "labels.txt")
 offset = 20
 imgSize = 300
 
-# Function to classify the hand
 def classify_hand(img):
     imgOutput = img.copy()
     
@@ -53,6 +52,18 @@ def classify_hand(img):
 
     return imgOutput
 
-# Create Gradio Interface with Webcam input
-iface = gr.Interface(fn=classify_hand, inputs='webcam', outputs='image', live=True)
-iface.launch()
+# OpenCV function to capture frames from the webcam
+def capture_frames():
+    cap = cv2.VideoCapture(0)
+    while True:
+        success, img = cap.read()
+        if not success:
+            print("Error: Could not read frame from the camera.")
+            break
+        processed_img = classify_hand(img)
+        cv2.imshow('Hand Gesture Recognition', processed_img)
+        if cv2.waitKey(1) & 0xFF == ord('q'):
+            break
+
+# Start capturing frames
+capture_frames()