Update app.py

app.py

@@ -22,7 +22,7 @@ def RFace(img):
 
 
 examples=[['Rdj.jpg'],['Rdj2.jpg'],['2.jpg'],['3.jpg'],['many.jpg'],['many2.jpg'],['many3.jpg']]
-desc = "RetinaFace is a deep learning based cutting-edge facial detector for Python coming with facial landmarks. Its detection performance for faces is especially excellent for dense crowds."
+desc = "RetinaFace is a robust single-stage face detector, it performs a pixel-wise face localisation on various scales of faces (i.e. extracting key features of the face in various scales) using a technique of joint extra-supervised and self-supervised multi-task learning.  Its face detection performance is especially impressive for images of crowds, which other face detectors usually struggle handling. On top of the state-of-the-art face detection capabilities (achieving AP equal to 91.4% on the WIDER FACE hard test set), the network is also capable of 2D face alignment and 3D face reconstruction, and is also used on top of existing face verification algorithms to improve their results."
 gr.Interface(fn=RFace, inputs=gr.inputs.Image(type="filepath"), outputs="image", title="RetinaFace Face Detector and Extractor",examples=examples, description=desc).launch(inbrowser=True)