diff --git a/web/apps/photos/src/components/ml/PeopleList.tsx b/web/apps/photos/src/components/ml/PeopleList.tsx
index 4ba08a6d08..e92b02680a 100644
--- a/web/apps/photos/src/components/ml/PeopleList.tsx
+++ b/web/apps/photos/src/components/ml/PeopleList.tsx
@@ -8,11 +8,7 @@ import React, { useEffect, useState } from "react";
import machineLearningService from "services/machineLearning/machineLearningService";
import { EnteFile } from "types/file";
import { Face, Person } from "types/machineLearning";
-import {
- getAllPeople,
- getPeopleList,
- getUnidentifiedFaces,
-} from "utils/machineLearning";
+import { getPeopleList, getUnidentifiedFaces } from "utils/machineLearning";
const FaceChipContainer = styled("div")`
display: flex;
@@ -66,7 +62,7 @@ export const PeopleList = React.memo((props: PeopleListProps) => {
>
))}
@@ -111,36 +107,6 @@ export function PhotoPeopleList(props: PhotoPeopleListProps) {
);
}
-export interface AllPeopleListProps extends PeopleListPropsBase {
- limit?: number;
-}
-
-export function AllPeopleList(props: AllPeopleListProps) {
- const [people, setPeople] = useState>([]);
-
- useEffect(() => {
- let didCancel = false;
-
- async function updateFaceImages() {
- try {
- let people = await getAllPeople();
- if (props.limit) {
- people = people.slice(0, props.limit);
- }
- !didCancel && setPeople(people);
- } catch (e) {
- log.error("updateFaceImages failed", e);
- }
- }
- updateFaceImages();
- return () => {
- didCancel = true;
- };
- }, [props.limit]);
-
- return ;
-}
-
export function UnidentifiedFaces(props: {
file: EnteFile;
updateMLDataIndex: number;
@@ -174,7 +140,7 @@ export function UnidentifiedFaces(props: {
faces.map((face, index) => (
@@ -186,12 +152,12 @@ export function UnidentifiedFaces(props: {
interface FaceCropImageViewProps {
url: string;
- faceID: string;
+ faceId: string;
}
const FaceCropImageView: React.FC = ({
url,
- faceID,
+ faceId,
}) => {
const [objectURL, setObjectURL] = useState();
@@ -208,12 +174,12 @@ const FaceCropImageView: React.FC = ({
try {
log.debug(
() =>
- `ImageCacheView: regenerate face crop for ${faceID}`,
+ `ImageCacheView: regenerate face crop for ${faceId}`,
);
return machineLearningService.regenerateFaceCrop(
user.token,
user.id,
- faceID,
+ faceId,
);
} catch (e) {
log.error(
@@ -234,7 +200,7 @@ const FaceCropImageView: React.FC = ({
didCancel = true;
if (objectURL) URL.revokeObjectURL(objectURL);
};
- }, [url, faceID]);
+ }, [url, faceId]);
return objectURL ? (