Update app.py

app.py

@@ -33,19 +33,6 @@ feat.pretrained.get_pretrained_models = _get_pretrained_models
 
 from feat import Detector
 
-def _calculate_md5(fpath: str, chunk_size: int = 1024 * 1024) -> str:
-    # Setting the `usedforsecurity` flag does not change anything about the functionality, but indicates that we are
-    # not using the MD5 checksum for cryptography. This enables its usage in restricted environments like FIPS. Without
-    # it torchvision.datasets is unusable in these environments since we perform a MD5 check everywhere.
-    if sys.version_info >= (3, 9):
-        md5 = hashlib.md5(usedforsecurity=True)
-    else:
-        md5 = hashlib.md5()
-    with open(fpath, "rb") as f:
-        while chunk := f.read(chunk_size):
-            md5.update(chunk)
-    return md5.hexdigest()
-
 os.environ["TWILIO_ACCOUNT_SID"] = "ACf1e76f3fd6e9cbca940decc4ed443c20"
 os.environ["TWILIO_AUTH_TOKEN"] = "5cadf5cc7120dd995f11b3dc57e46d52"
 
@@ -172,7 +159,7 @@ st.markdown("""
     </style>
     """, unsafe_allow_html=True)
 
-detector = Detector(face_model="retinaface", landmark_model= "pfld")
+detector = Detector(face_model="retinaface", landmark_model= "pfld", au_model = "xgb", emotion_model = "resmasknet")
 source = "Webcam"
 recog = True