Update app.py

app.py

@@ -1,60 +1,28 @@
 import gradio as gr
-
-
 import numpy as np
-
 import cv2
-
 from PIL import Image
 
-
-
 def detect_faces(image , slider ) :
-
-# detect faces
-
-# convert image in to numpy array
-
-image_np = np.array(image)
-
-# convert image into gray
-
-gray_image = cv2.cvtColor(image_np, cv2.COLOR_RGB2GRAY)
-
-# use detectmultiscale function to detect faces using haar cascade
-
-face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
-
-faces = face_cascade.detectMultiScale(gray_image, scaleFactor=slider, minNeighbors=5, minSize=(30, 30))
-
-# draw rectangle along detected faces
-
-for (x, y, w, h) in faces:
-
-cv2.rectangle(image_np, (x, y), (x+w, y+h), (255, 0, 0), 5)
-
-
-
+    # detect faces
+
+    # convert image in to numpy array
+    image_np = np.array(image)
+    
+    # convert image into gray
+    gray_image = cv2.cvtColor(image_np, cv2.COLOR_RGB2GRAY)
+    
+    # use detectmultiscale function to detect faces using haar cascade
+    face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
+    faces = face_cascade.detectMultiScale(gray_image, scaleFactor=slider, minNeighbors=5, minSize=(30, 30))
+    
+    # draw rectangle along detected faces
+    for (x, y, w, h) in faces:
+        cv2.rectangle(image_np, (x, y), (x+w, y+h), (255, 0, 0), 5)
 return image_np
 
+slider = gr.Slider(1, 2, step=.1, label="Adjust the ScaleFactor", value=1.5)
 
-
-slider = gr.Slider(minimum=1, maximum=2, step=.1, label="Adjust the ScaleFactor")
-
-
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-iface = gr.Interface( fn=detect_faces,
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-inputs=["image","slider"],
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-outputs="image",
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-title="Face Detection using Haar Cascade Classifier ",
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-description="Upload an image,and the model will detect faces and draw bounding boxes around them.",
-
-)
-
-
+iface = gr.Interface( fn=detect_faces,inputs=["image","slider"],outputs="image",title="Face Detection using Haar Cascade Classifier ",description="Upload an image,and the model will detect faces and draw bounding boxes around them.",)
 
 iface.launch()