Update app.py

app.py

@@ -20,7 +20,7 @@ def inference(img):
 
   gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY ) # grayscale
   #out = cv2.adaptiveThreshold(gray,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY,133,9)
-  out = cv2.adaptiveThreshold(gray,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY,221,9)
+  out = cv2.adaptiveThreshold(gray,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY,221,3)
   out = cv2.dilate(out,(55,55))
 
     
@@ -36,8 +36,8 @@ iface = gradio.Interface(
   fn=inference,
   inputs='image',
   outputs='image',
-  title='Noise Removel', 
-  description='Remove Noise with Adaptial Gaussian!',
+  title='Noise Removal', 
+  description='Remove Noise with OpenCV and Adaptial Gaussian!',
   examples=["detail_with_lines_and_noise.jpg", "lama.webp", "dT4KW.png"])  
   #examples=["detail_with_lines_and_noise.jpg", "lama.webp", "test_lines.jpg","llama.jpg", "dT4KW.png"])