Update app.py

app.py

@@ -5,51 +5,32 @@ import gradio as gr
 
 # --- MediaPipe setup ---
 mp_hands = mp.solutions.hands
-hands = mp_hands.Hands(
-    static_image_mode=False,
-    max_num_hands=1,
-    min_detection_confidence=0.7,
-    min_tracking_confidence=0.5,
-)
+hands = mp_hands.Hands(min_detection_confidence=0.7)
 mp_draw = mp.solutions.drawing_utils
 
 # --- Global canvas ---
 canvas = None
 
 def paint(frame: np.ndarray) -> np.ndarray:
-    """
-    Receives a BGR frame from the browser camera,
-    returns the frame overlaid with the drawing canvas.
-    """
     global canvas
+    h, w, _ = frame.shape
 
-    # Convert to RGB for MediaPipe, and capture dimensions
-    rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
-    h, w, _ = rgb.shape
-
-    # Initialize canvas once
     if canvas is None:
         canvas = np.zeros((h, w, 3), dtype=np.uint8)
 
-    # Detect hand landmarks
+    rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
     results = hands.process(rgb)
     if results.multi_hand_landmarks:
-        hand_lms = results.multi_hand_landmarks[0]
-        # Get normalized index-finger tip coords
-        lm = hand_lms.landmark[mp_hands.HandLandmark.INDEX_FINGER_TIP]
+        lm = results.multi_hand_landmarks[0].landmark[mp_hands.HandLandmark.INDEX_FINGER_TIP]
         x, y = int(lm.x * w), int(lm.y * h)
-        # Draw on the canvas: small circle or line from previous point
         cv2.circle(canvas, (x, y), 8, (0, 0, 255), -1)
 
-    # Blend canvas with live frame
-    blended = cv2.addWeighted(frame, 0.5, canvas, 0.5, 0)
-    return blended
+    return cv2.addWeighted(frame, 0.5, canvas, 0.5, 0)
 
-# --- Gradio interface ---
 demo = gr.Interface(
     fn=paint,
-    inputs=gr.Camera(type="numpy", streaming=True),
-    outputs=gr.Image(type="numpy"),
+    inputs=gr.inputs.Camera(type="numpy", streaming=True),
+    outputs=gr.outputs.Image(type="numpy"),
     live=True,
     title="🖌️ Virtual Painter",
     description="Move your index finger in front of the camera to draw!"