Fixed image preprocessing for correct model input shape

app.py

@@ -8,8 +8,8 @@ model = tf.keras.models.load_model("prescription_model.h5")
 
 # Function to preprocess the uploaded image
 def preprocess_image(image):
-    image = image.convert("L")  # Convert to grayscale
-    image = image.resize((128, 128))  # Resize to match model input
+    image = image.convert("RGB")  # Convert to grayscale
+    image = image.resize((64, 64))  # Resize to match model input
     image = np.array(image) / 255.0  # Normalize
     image = np.expand_dims(image, axis=0)  # Add batch dimension
     return image