Update app.py

app.py

@@ -33,6 +33,19 @@ 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"