Update app.py

app.py

@@ -22,11 +22,11 @@ uploaded_file = st.file_uploader("Upload an image", type=["jpg", "jpeg", "png"])
 
 def preprocess_image(image):
     """Preprocess image to match model input requirements"""
-    image = cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR)
-    image_resized = cv2.resize(image, (224, 224))  # Resize image to model input size
-    image_input = np.transpose(image_resized, (2, 0, 1))  # Change data format for the model
+    image = cv2.cvtColor(np.array(image), cv2.COLOR_RGB2GRAY)  # Convert image to grayscale
+    image_resized = cv2.resize(image, (48, 48))  # Resize image to 48x48
+    image_input = np.expand_dims(image_resized, axis=0)  # Add batch dimension
+    image_input = np.expand_dims(image_input, axis=0)  # Add channel dimension (for grayscale)
     image_input = image_input.astype(np.float32) / 255.0  # Normalize the image
-    image_input = np.expand_dims(image_input, axis=0)  # Add batch dimension
     return image_input
 
 def predict_emotion(image_input):