Update app.py

app.py

@@ -14,7 +14,7 @@ def classify_image(image):
     # Load and preprocess the image
     img = load_img(image, target_size=(150, 150))  # Ensure this matches the input size of your model
     img_array = img_to_array(img) / 255.0  # Normalize pixel values
-    img_array = np.expand_dims(img_array, axis-1)  # Reshape for the model input (1, 150, 150, 3)
+    img_array = np.expand_dims(img_array, axis=0)  # Reshape for the model input (1, 150, 150, 3)
 
     # Log the shape of the image array for debugging
     print(f"Image shape for prediction: {img_array.shape}")
@@ -29,8 +29,8 @@ def classify_image(image):
 
 # Gradio interface
 iface = gr.Interface(fn=classify_image,
-                     inputs=gr.inputs.Image(type="filepath"),
-                     outputs=gr.outputs.Textbox(),
+                     inputs=gr.Image(type="filepath"),
+                     outputs=gr.Textbox(),
                      title="Boy or Girl Classifier",
                      description="Upload an image to classify it as either a Boy or a Girl.")