Update app.py

app.py

@@ -37,28 +37,27 @@ def Attandance(video):
   index=1
   while True:
       try:
-          ret, frame = cap.read()
-          #faces = cv2.resize(frame, (0, 0), None, 0.25, 0.25)
-          faces = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
-  
-          facesCurrentFrame = face_recognition.face_locations(faces)
-          encodesCurrentFrame = face_recognition.face_encodings(faces, facesCurrentFrame)
-  
-          for encodeFace, faceLoc in zip(encodesCurrentFrame, facesCurrentFrame):
-              matches = face_recognition.compare_faces(encodeListKnown, encodeFace)
-              faceDis = face_recognition.face_distance(encodeListKnown, encodeFace)
-              # print(faceDis)
-              matchIndex = np.argmin(faceDis)
-  
-              if matches[matchIndex]:
-                  name = personNames[matchIndex].upper()   
-                  #if names.count(name) == 0:
-                  names.append(name)
-      
-          cv2.waitKey(1)
-            
-      except:
-            break
+        ret, frame = cap.read()
+        #faces = cv2.resize(frame, (0, 0), None, 0.25, 0.25)
+        faces = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+
+        facesCurrentFrame = face_recognition.face_locations(faces)
+        encodesCurrentFrame = face_recognition.face_encodings(faces, facesCurrentFrame)
+
+        for encodeFace, faceLoc in zip(encodesCurrentFrame, facesCurrentFrame):
+            matches = face_recognition.compare_faces(encodeListKnown, encodeFace)
+            faceDis = face_recognition.face_distance(encodeListKnown, encodeFace)
+            # print(faceDis)
+            matchIndex = np.argmin(faceDis)
+
+            if matches[matchIndex]:
+                name = personNames[matchIndex].upper()    
+                if names.count(name) == 0:
+                    names.append(name)
+    
+        cv2.waitKey(1)
+    except:
+          break
   return ''.join(name)
 
 demo=gr.Interface(fn=Attandance,