Update app.py

app.py

@@ -5,7 +5,7 @@ from PIL import Image
 
 # Load Haar Cascade classifier
 face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
-slider=gr.Slider(minimum=1,maximum=2,step=.1,label="Adjust the scale factor.")
+# slider=gr.Slider(minimum=1,maximum=2,step=.1,label="Adjust the scale factor.")
 # Face Detection Function
 def detect_faces(image_np,slider):
     img=np.array(gray_image)
@@ -24,7 +24,7 @@ def detect_faces(image_np,slider):
 # Create Gradio Interface
 iface = gr.Interface(
     fn=detect_faces,
-    inputs=["image","slider"],
+    inputs=["image",gr.Slider(minimum=1,maximum=2,step=.1,label="Adjust the scale factor.")],
     outputs="image",
     title="Face Detection",
     description="Upload an image, and the model will detect faces and draw bounding boxes around them."