Update app.py

app.py

@@ -14,24 +14,16 @@ def classify_gesture(landmarks):
 
     thumb_tip = landmarks[4]
     index_tip = landmarks[8]
-    middle_tip = landmarks[12]
-    ring_tip = landmarks[16]
-    pinky_tip = landmarks[20]
-    wrist = landmarks[0]
-
-    def dist(a, b):
-        return ((a.x - b.x)**2 + (a.y - b.y)**2)**0.5
 
     if thumb_tip.y < index_tip.y:
         return "A (Thumb Up)"
-    if index_tip.y < wrist.y and middle_tip.y < wrist.y and ring_tip.y < wrist.y and pinky_tip.y < wrist.y:
-        return "B (Flat Hand)"
     return "Unknown"
 
 def process_frame(frame):
     frame = cv2.flip(frame, 1)
     rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
     result = hands.process(rgb)
+
     gesture = "No hand detected"
 
     if result.multi_hand_landmarks:
@@ -42,14 +34,13 @@ def process_frame(frame):
     cv2.putText(frame, f"Sign: {gesture}", (10, 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2)
     return frame
 
-# Gradio 5.x interface: Use Video input for live webcam
+# Gradio interface (compatible with old Gradio versions on Spaces)
 demo = gr.Interface(
     fn=process_frame,
-    inputs=gr.Video(source="webcam"),  # webcam live input
+    inputs=gr.Image(type="numpy", tool="editor"),  # webcam snapshot button works here
     outputs=gr.Image(type="numpy"),
-    live=True,
     title="Sign Language Recognition",
-    description="Live sign recognition using MediaPipe + OpenCV"
+    description="Take a webcam snapshot or upload an image to detect hand signs"
 )
 
 demo.launch()