Update app.py

app.py

@@ -46,7 +46,7 @@ def realesrgan(img, model_name, denoise_strength, outscale):
             'https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-x4v3.pth'
         ]
 
-    # Determine model paths
+    # Determine model paths  (local loading in other project, try and merge ?)
     model_path = os.path.join('weights', model_name + '.pth')
     if not os.path.isfile(model_path):
         ROOT_DIR = os.path.dirname(os.path.abspath(__file__))
@@ -55,7 +55,7 @@ def realesrgan(img, model_name, denoise_strength, outscale):
             model_path = load_file_from_url(
                 url=url, model_dir=os.path.join(ROOT_DIR, 'weights'), progress=True, file_name=None)
 
-    # Use dni to control the denoise strength
+    # denoiser control
     dni_weight = None
     if model_name == 'realesr-general-x4v3' and denoise_strength != 1:
         wdn_model_path = model_path.replace('realesr-general-x4v3', 'realesr-general-wdn-x4v3')
@@ -78,7 +78,7 @@ def realesrgan(img, model_name, denoise_strength, outscale):
  
  
 
-    # Convert the input PIL image to cv2 image, so that it can be processed by realesrgan
+    # TO cv2 conversion
     cv_img = numpy.array(img)
     img = cv2.cvtColor(cv_img, cv2.COLOR_RGBA2BGRA)
 
@@ -103,17 +103,14 @@ def realesrgan(img, model_name, denoise_strength, outscale):
 
 
 def rnd_string(x):
-    """Returns a string of 'x' random characters
-    """
+
     characters = "abcdefghijklmnopqrstuvwxyz_0123456789"
     result = "".join((random.choice(characters)) for i in range(x))
     return result
 
 
 def reset():
-    """Resets the Image components of the Gradio interface and deletes
-    the last processed image
-    """
+
     global last_file
     if last_file:
         print(f"Deleting {last_file} ...")
@@ -123,14 +120,7 @@ def reset():
 
 
 def has_transparency(img):
-    """This function works by first checking to see if a "transparency" property is defined
-    in the image's info -- if so, we return "True". Then, if the image is using indexed colors
-    (such as in GIFs), it gets the index of the transparent color in the palette
-    (img.info.get("transparency", -1)) and checks if it's used anywhere in the canvas
-    (img.getcolors()). If the image is in RGBA mode, then presumably it has transparency in
-    it, but it double-checks by getting the minimum and maximum values of every color channel
-    (img.getextrema()), and checks if the alpha channel's smallest value falls below 255.
-    https://stackoverflow.com/questions/43864101/python-pil-check-if-image-is-transparent
+    """Alpha channel checking
     """
     if img.info.get("transparency", None) is not None:
         return True
@@ -147,8 +137,8 @@ def has_transparency(img):
 
 
 def image_properties(img):
-    """Returns the dimensions (width and height) and color mode of the input image and
-    also sets the global img_mode variable to be used by the realesrgan function
+    """
+        Dimensions, (A)RGB
     """
     global img_mode
     if img:
@@ -170,7 +160,6 @@ def main():
 
            
      <div align="center"> Documentation will be added soon. </div>
-     <div align="center"> Big cheh a Taha </div>
         """
         )   
 
@@ -201,15 +190,13 @@ def main():
                           inputs=[input_image, model_name, denoise_strength,  outscale],
                           outputs=output_image)
         reset_btn.click(fn=reset, inputs=[], outputs=[output_image, input_image])
-        # reset_btn.click(None, inputs=[], outputs=[input_image], _js="() => (null)\n")
-        # Undocumented method to clear a component's value using Javascript
 
         gr.Markdown(
-            """ <br<<br><br><div align="center">Models need more training, so the upscaling might yield some artifacting and or smearing like effects. </div>
+            """ <br><br><br><div align="center">Models need more training, so the upscaling might yield some artifacting and or smearing like effects. </div>
         """
         )
 
-    demo.launch(share=False,show_api=True)
+    demo.launch(share=False,show_api=False)
 
 
 if __name__ == "__main__":