Update app.py

app.py

@@ -3,7 +3,7 @@ from PIL import Image
 import numpy as np
 import cv2 
 import requests
-from gradio_client import Client
+
 import face_recognition
 import os
 from datetime import datetime
@@ -69,17 +69,12 @@ if img_file_buffer is not None:
             cv2.rectangle(image,(x1,y1),(x2,y2),(0,255,0),2)
             cv2.rectangle(image,(x1,y2-35),(x2,y2),(0,255,0),cv2.FILLED)
             cv2.putText(image,name,(x1+6,y2-6),cv2.FONT_HERSHEY_COMPLEX,1,(255, 255, 255),2)
-            client = Client("https://rahulsinghpundir-facial-expression.hf.space/")
-            result = client.predict(
-                            "https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/image",	# str (filepath or URL to image) in 'img' Image component
-                            api_name="/predict"
-            )
-            if result == "happy":
-                 ##############
-                 url = "https://kiwi-whispering-plier.glitch.me/update" 
-                 
-                 data = {
-                         'name': name,
-                 }
+           
+            ##############
+            url = "https://kiwi-whispering-plier.glitch.me/update" 
+            
+            data = {
+                'name': name,
+            }
             else:
                 st.write("Please smile")