Update app.py

app.py

@@ -9,17 +9,19 @@ mp_hands = mp.solutions.hands
 hands = mp_hands.Hands(static_image_mode=False, max_num_hands=1, min_detection_confidence=0.5)
 mp_drawing = mp.solutions.drawing_utils
 
-# Function to recognize gestures
-def get_gesture(landmarks):
+# Function to recognize letters based on hand landmarks
+def get_letter(landmarks):
     thumb_tip = landmarks[4]
     index_tip = landmarks[8]
-    
-    if thumb_tip.y < index_tip.y:
-        return 'Thumbs Up'
-    elif thumb_tip.y > landmarks[0].y:
-        return 'Thumbs Down'
-    else:
-        return 'Other Gesture'
+
+    # Example conditions for gesture recognition (you can expand this logic)
+    if thumb_tip.y < index_tip.y:  # Example condition for 'A'
+        return 'A'
+    elif thumb_tip.y > landmarks[0].y:  # Example condition for 'B'
+        return 'B'
+    # Add more conditions for other letters
+    # Return 'Unknown' if no match
+    return 'Unknown'
 
 # Process hand gestures
 def process_hand(image):
@@ -29,18 +31,19 @@ def process_hand(image):
     if results.multi_hand_landmarks:
         for hand_landmarks in results.multi_hand_landmarks:
             mp_drawing.draw_landmarks(image, hand_landmarks, mp_hands.HAND_CONNECTIONS)
-            
             landmarks = hand_landmarks.landmark
-            gesture = get_gesture(landmarks)
             
-            # Draw the recognized gesture on the image
-            cv2.putText(image, gesture, (10, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2)
-    
+            # Get recognized letter
+            letter = get_letter(landmarks)
+            
+            # Draw the recognized letter on the image
+            cv2.putText(image, letter, (10, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2)
+
     return image
 
 # Streamlit Interface
 st.title("AI Sign Language Interpreter")
-st.write("Make a thumbs up or thumbs down gesture in front of your camera, or upload an image.")
+st.write("Make a gesture in front of your camera, or upload an image.")
 
 # Use Streamlit's built-in camera input
 video_input = st.camera_input("Take a picture with your webcam")