Add face recognition and license plate recognition to settings UI (#17152)

* Refactor explore settings to classification settings

* Cleanup

* Add face config section

* Add license plate recognition to settings

* Update face recognition docs

* Fix variable usage

* Fix typo

* Update docs/docs/configuration/face_recognition.md

Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>

* Improve spacing and add face library to mobile

* Clarify docs

---------

Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
This commit is contained in:
Nicolas Mowen 2025-03-14 10:23:37 -06:00 committed by GitHub
parent d2368f5cbb
commit a995872d1c
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GPG Key ID: B5690EEEBB952194
9 changed files with 508 additions and 310 deletions

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@ -3,19 +3,55 @@ id: face_recognition
title: Face Recognition
---
Face recognition allows people to be assigned names and when their face is recognized Frigate will assign the person's name as a sub label. This information is included in the UI, filters, as well as in notifications.
Face recognition identifies known individuals by matching detected faces with previously learned facial data. When a known person is recognized, their name will be added as a `sub_label`. This information is included in the UI, filters, as well as in notifications.
## Model Requirements
Frigate has support for CV2 Local Binary Pattern Face Recognizer to recognize faces, which runs locally. A lightweight face landmark detection model is also used to align faces before running them through the face recognizer.
Users running a Frigate+ model (or any custom model that natively detects faces) should ensure that `face` is added to the [list of objects to track](../plus/#available-label-types) either globally or for a specific camera. This will allow face detection to run at the same time as object detection and be more efficient.
Users without a model that detects faces can still run face recognition. Frigate uses a lightweight DNN face detection model that runs on the CPU. In this case, you should _not_ define `face` in your list of objects to track.
:::note
Frigate needs to first detect a `face` before it can recognize a face.
:::
## Minimum System Requirements
Face recognition is lightweight and runs on the CPU, there are no significantly different system requirements than running Frigate itself.
## Configuration
Face recognition is disabled by default, face recognition must be enabled in your config file before it can be used. Face recognition is a global configuration setting.
Face recognition is disabled by default, face recognition must be enabled in the UI or in your config file before it can be used. Face recognition is a global configuration setting.
```yaml
face_recognition:
enabled: true
```
## Advanced Configuration
Fine-tune face recognition with these optional parameters:
### Detection
- `detection_threshold`: Face detection confidence score required before recognition runs:
- Default: `0.7`
- Note: This is field only applies to the standalone face detection model, `min_score` should be used to filter for models that have face detection built in.
- `min_area`: Defines the minimum size (in pixels) a face must be before recognition runs.
- Default: `500` pixels.
- Depending on the resolution of your camera's `detect` stream, you can increase this value to ignore small or distant faces.
### Recognition
- `recognition_threshold`: Recognition confidence score required to add the face to the object as a sub label.
- Default: `0.9`.
- `blur_confidence_filter`: Enables a filter that calculates how blurry the face is and adjusts the confidence based on this.
- Default: `True`.
## Dataset
The number of images needed for a sufficient training set for face recognition varies depending on several factors:

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@ -51,7 +51,7 @@ Fine-tune the LPR feature using these optional parameters:
- **`detection_threshold`**: License plate object detection confidence score required before recognition runs.
- Default: `0.7`
- Note: If you are using a Frigate+ model and you set the `threshold` in your objects config for `license_plate` higher than this value, recognition will never run. It's best to ensure these values match, or this `detection_threshold` is lower than your object config `threshold`.
- Note: This is field only applies to the standalone license plate detection model, `min_score` should be used to filter for models that have license plate detection built in.
- **`min_area`**: Defines the minimum size (in pixels) a license plate must be before recognition runs.
- Default: `1000` pixels.
- Depending on the resolution of your camera's `detect` stream, you can increase this value to ignore small or distant plates.

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@ -937,12 +937,6 @@ class LicensePlateProcessingMixin:
if not license_plate:
return
if license_plate.get("score") < self.lpr_config.detection_threshold:
logger.debug(
f"Plate detection score is less than the threshold ({license_plate['score']:0.2f} < {self.lpr_config.detection_threshold})"
)
return
license_plate_box = license_plate.get("box")
# check that license plate is valid

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@ -255,6 +255,19 @@ export default function GeneralSettings({ className }: GeneralSettingsProps) {
</Link>
</>
)}
{isAdmin && isMobile && (
<>
<Link to="/faces">
<MenuItem
className="flex w-full items-center p-2 text-sm"
aria-label="Face Library"
>
<LuSquarePen className="mr-2 size-4" />
<span>Configuration editor</span>
</MenuItem>
</Link>
</>
)}
</DropdownMenuGroup>
<DropdownMenuLabel className={isDesktop ? "mt-3" : "mt-1"}>
Appearance

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@ -344,7 +344,7 @@ function TrainingGrid({
key={image}
image={image}
faceNames={faceNames}
threshold={config.face_recognition.threshold}
threshold={config.face_recognition.recognition_threshold}
selected={selectedFaces.includes(image)}
onClick={() => onClickFace(image)}
onRefresh={onRefresh}

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@ -35,7 +35,7 @@ import MotionTunerView from "@/views/settings/MotionTunerView";
import MasksAndZonesView from "@/views/settings/MasksAndZonesView";
import AuthenticationView from "@/views/settings/AuthenticationView";
import NotificationView from "@/views/settings/NotificationsSettingsView";
import SearchSettingsView from "@/views/settings/SearchSettingsView";
import ClassificationSettingsView from "@/views/settings/ClassificationSettingsView";
import UiSettingsView from "@/views/settings/UiSettingsView";
import { useSearchEffect } from "@/hooks/use-overlay-state";
import { useSearchParams } from "react-router-dom";
@ -46,7 +46,7 @@ import { useIsAdmin } from "@/hooks/use-is-admin";
const allSettingsViews = [
"UI settings",
"explore settings",
"classification settings",
"camera settings",
"masks / zones",
"motion tuner",
@ -245,8 +245,8 @@ export default function Settings() {
</div>
<div className="mt-2 flex h-full w-full flex-col items-start md:h-dvh md:pb-24">
{page == "UI settings" && <UiSettingsView />}
{page == "explore settings" && (
<SearchSettingsView setUnsavedChanges={setUnsavedChanges} />
{page == "classification settings" && (
<ClassificationSettingsView setUnsavedChanges={setUnsavedChanges} />
)}
{page == "debug" && (
<ObjectSettingsView selectedCamera={selectedCamera} />

View File

@ -333,7 +333,8 @@ export interface FrigateConfig {
face_recognition: {
enabled: boolean;
threshold: number;
detection_threshold: number;
recognition_threshold: number;
};
ffmpeg: {

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@ -0,0 +1,449 @@
import Heading from "@/components/ui/heading";
import { FrigateConfig, SearchModelSize } from "@/types/frigateConfig";
import useSWR from "swr";
import axios from "axios";
import ActivityIndicator from "@/components/indicators/activity-indicator";
import { useCallback, useContext, useEffect, useState } from "react";
import { Label } from "@/components/ui/label";
import { Button } from "@/components/ui/button";
import { Switch } from "@/components/ui/switch";
import { Toaster } from "@/components/ui/sonner";
import { toast } from "sonner";
import { Separator } from "@/components/ui/separator";
import { Link } from "react-router-dom";
import { LuExternalLink } from "react-icons/lu";
import { StatusBarMessagesContext } from "@/context/statusbar-provider";
import {
Select,
SelectContent,
SelectGroup,
SelectItem,
SelectTrigger,
} from "@/components/ui/select";
type ClassificationSettings = {
search: {
enabled?: boolean;
reindex?: boolean;
model_size?: SearchModelSize;
};
face: {
enabled?: boolean;
};
lpr: {
enabled?: boolean;
};
};
type ClassificationSettingsViewProps = {
setUnsavedChanges: React.Dispatch<React.SetStateAction<boolean>>;
};
export default function ClassificationSettingsView({
setUnsavedChanges,
}: ClassificationSettingsViewProps) {
const { data: config, mutate: updateConfig } =
useSWR<FrigateConfig>("config");
const [changedValue, setChangedValue] = useState(false);
const [isLoading, setIsLoading] = useState(false);
const { addMessage, removeMessage } = useContext(StatusBarMessagesContext)!;
const [classificationSettings, setClassificationSettings] =
useState<ClassificationSettings>({
search: {
enabled: undefined,
reindex: undefined,
model_size: undefined,
},
face: {
enabled: undefined,
},
lpr: {
enabled: undefined,
},
});
const [origSearchSettings, setOrigSearchSettings] =
useState<ClassificationSettings>({
search: {
enabled: undefined,
reindex: undefined,
model_size: undefined,
},
face: {
enabled: undefined,
},
lpr: {
enabled: undefined,
},
});
useEffect(() => {
if (config) {
if (classificationSettings?.search.enabled == undefined) {
setClassificationSettings({
search: {
enabled: config.semantic_search.enabled,
reindex: config.semantic_search.reindex,
model_size: config.semantic_search.model_size,
},
face: {
enabled: config.face_recognition.enabled,
},
lpr: {
enabled: config.lpr.enabled,
},
});
}
setOrigSearchSettings({
search: {
enabled: config.semantic_search.enabled,
reindex: config.semantic_search.reindex,
model_size: config.semantic_search.model_size,
},
face: {
enabled: config.face_recognition.enabled,
},
lpr: {
enabled: config.lpr.enabled,
},
});
}
// we know that these deps are correct
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [config]);
const handleClassificationConfigChange = (
newConfig: Partial<ClassificationSettings>,
) => {
setClassificationSettings((prevConfig) => ({
search: {
...prevConfig.search,
...newConfig.search,
},
face: { ...prevConfig.face, ...newConfig.face },
lpr: { ...prevConfig.lpr, ...newConfig.lpr },
}));
setUnsavedChanges(true);
setChangedValue(true);
};
const saveToConfig = useCallback(async () => {
setIsLoading(true);
axios
.put(
`config/set?semantic_search.enabled=${classificationSettings.search.enabled ? "True" : "False"}&semantic_search.reindex=${classificationSettings.search.reindex ? "True" : "False"}&semantic_search.model_size=${classificationSettings.search.model_size}`,
{
requires_restart: 0,
},
)
.then((res) => {
if (res.status === 200) {
toast.success("Classification settings have been saved.", {
position: "top-center",
});
setChangedValue(false);
updateConfig();
} else {
toast.error(`Failed to save config changes: ${res.statusText}`, {
position: "top-center",
});
}
})
.catch((error) => {
const errorMessage =
error.response?.data?.message ||
error.response?.data?.detail ||
"Unknown error";
toast.error(`Failed to save config changes: ${errorMessage}`, {
position: "top-center",
});
})
.finally(() => {
setIsLoading(false);
});
}, [updateConfig, classificationSettings.search]);
const onCancel = useCallback(() => {
setClassificationSettings(origSearchSettings);
setChangedValue(false);
removeMessage("search_settings", "search_settings");
}, [origSearchSettings, removeMessage]);
useEffect(() => {
if (changedValue) {
addMessage(
"search_settings",
`Unsaved Classification settings changes`,
undefined,
"search_settings",
);
} else {
removeMessage("search_settings", "search_settings");
}
// we know that these deps are correct
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [changedValue]);
useEffect(() => {
document.title = "Classification Settings - Frigate";
}, []);
if (!config) {
return <ActivityIndicator />;
}
return (
<div className="flex size-full flex-col md:flex-row">
<Toaster position="top-center" closeButton={true} />
<div className="scrollbar-container order-last mb-10 mt-2 flex h-full w-full flex-col overflow-y-auto rounded-lg border-[1px] border-secondary-foreground bg-background_alt p-2 md:order-none md:mb-0 md:mr-2 md:mt-0">
<Heading as="h3" className="my-2">
Classification Settings
</Heading>
<Separator className="my-2 flex bg-secondary" />
<Heading as="h4" className="my-2">
Semantic Search
</Heading>
<div className="max-w-6xl">
<div className="mb-5 mt-2 flex max-w-5xl flex-col gap-2 text-sm text-primary-variant">
<p>
Semantic Search in Frigate allows you to find tracked objects
within your review items using either the image itself, a
user-defined text description, or an automatically generated one.
</p>
<div className="flex items-center text-primary">
<Link
to="https://docs.frigate.video/configuration/semantic_search"
target="_blank"
rel="noopener noreferrer"
className="inline"
>
Read the Documentation
<LuExternalLink className="ml-2 inline-flex size-3" />
</Link>
</div>
</div>
</div>
<div className="flex w-full max-w-lg flex-col space-y-6">
<div className="flex flex-row items-center">
<Switch
id="enabled"
className="mr-3"
disabled={classificationSettings.search.enabled === undefined}
checked={classificationSettings.search.enabled === true}
onCheckedChange={(isChecked) => {
handleClassificationConfigChange({
search: { enabled: isChecked },
});
}}
/>
<div className="space-y-0.5">
<Label htmlFor="enabled">Enabled</Label>
</div>
</div>
<div className="flex flex-col">
<div className="flex flex-row items-center">
<Switch
id="reindex"
className="mr-3"
disabled={classificationSettings.search.reindex === undefined}
checked={classificationSettings.search.reindex === true}
onCheckedChange={(isChecked) => {
handleClassificationConfigChange({
search: { reindex: isChecked },
});
}}
/>
<div className="space-y-0.5">
<Label htmlFor="reindex">Re-Index On Startup</Label>
</div>
</div>
<div className="mt-3 text-sm text-muted-foreground">
Re-indexing will reprocess all thumbnails and descriptions (if
enabled) and apply the embeddings on each startup.{" "}
<em>Don't forget to disable the option after restarting!</em>
</div>
</div>
<div className="mt-2 flex flex-col space-y-6">
<div className="space-y-0.5">
<div className="text-md">Model Size</div>
<div className="space-y-1 text-sm text-muted-foreground">
<p>
The size of the model used for Semantic Search embeddings.
</p>
<ul className="list-disc pl-5 text-sm">
<li>
Using <em>small</em> employs a quantized version of the
model that uses less RAM and runs faster on CPU with a very
negligible difference in embedding quality.
</li>
<li>
Using <em>large</em> employs the full Jina model and will
automatically run on the GPU if applicable.
</li>
</ul>
</div>
</div>
<Select
value={classificationSettings.search.model_size}
onValueChange={(value) =>
handleClassificationConfigChange({
search: {
model_size: value as SearchModelSize,
},
})
}
>
<SelectTrigger className="w-20">
{classificationSettings.search.model_size}
</SelectTrigger>
<SelectContent>
<SelectGroup>
{["small", "large"].map((size) => (
<SelectItem
key={size}
className="cursor-pointer"
value={size}
>
{size}
</SelectItem>
))}
</SelectGroup>
</SelectContent>
</Select>
</div>
</div>
<div className="my-2 space-y-6">
<Separator className="my-2 flex bg-secondary" />
<Heading as="h4" className="my-2">
Face Recognition
</Heading>
<div className="max-w-6xl">
<div className="mb-5 mt-2 flex max-w-5xl flex-col gap-2 text-sm text-primary-variant">
<p>
Face recognition allows people to be assigned names and when
their face is recognized Frigate will assign the person's name
as a sub label. This information is included in the UI, filters,
as well as in notifications.
</p>
<div className="flex items-center text-primary">
<Link
to="https://docs.frigate.video/configuration/face_recognition"
target="_blank"
rel="noopener noreferrer"
className="inline"
>
Read the Documentation
<LuExternalLink className="ml-2 inline-flex size-3" />
</Link>
</div>
</div>
</div>
<div className="flex w-full max-w-lg flex-col space-y-6">
<div className="flex flex-row items-center">
<Switch
id="enabled"
className="mr-3"
disabled={classificationSettings.face.enabled === undefined}
checked={classificationSettings.face.enabled === true}
onCheckedChange={(isChecked) => {
handleClassificationConfigChange({
face: { enabled: isChecked },
});
}}
/>
<div className="space-y-0.5">
<Label htmlFor="enabled">Enabled</Label>
</div>
</div>
</div>
<Separator className="my-2 flex bg-secondary" />
<Heading as="h4" className="my-2">
License Plate Recognition
</Heading>
<div className="max-w-6xl">
<div className="mb-5 mt-2 flex max-w-5xl flex-col gap-2 text-sm text-primary-variant">
<p>
Frigate can recognize license plates on vehicles and
automatically add the detected characters to the
recognized_license_plate field or a known name as a sub_label to
objects that are of type car. A common use case may be to read
the license plates of cars pulling into a driveway or cars
passing by on a street.
</p>
<div className="flex items-center text-primary">
<Link
to="https://docs.frigate.video/configuration/license_plate_recognition"
target="_blank"
rel="noopener noreferrer"
className="inline"
>
Read the Documentation
<LuExternalLink className="ml-2 inline-flex size-3" />
</Link>
</div>
</div>
</div>
<div className="flex w-full max-w-lg flex-col space-y-6">
<div className="flex flex-row items-center">
<Switch
id="enabled"
className="mr-3"
disabled={classificationSettings.lpr.enabled === undefined}
checked={classificationSettings.lpr.enabled === true}
onCheckedChange={(isChecked) => {
handleClassificationConfigChange({
lpr: { enabled: isChecked },
});
}}
/>
<div className="space-y-0.5">
<Label htmlFor="enabled">Enabled</Label>
</div>
</div>
</div>
<Separator className="my-2 flex bg-secondary" />
<div className="flex w-full flex-row items-center gap-2 pt-2 md:w-[25%]">
<Button
className="flex flex-1"
aria-label="Reset"
onClick={onCancel}
>
Reset
</Button>
<Button
variant="select"
disabled={!changedValue || isLoading}
className="flex flex-1"
aria-label="Save"
onClick={saveToConfig}
>
{isLoading ? (
<div className="flex flex-row items-center gap-2">
<ActivityIndicator />
<span>Saving...</span>
</div>
) : (
"Save"
)}
</Button>
</div>
</div>
</div>
</div>
);
}

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@ -1,295 +0,0 @@
import Heading from "@/components/ui/heading";
import { FrigateConfig, SearchModelSize } from "@/types/frigateConfig";
import useSWR from "swr";
import axios from "axios";
import ActivityIndicator from "@/components/indicators/activity-indicator";
import { useCallback, useContext, useEffect, useState } from "react";
import { Label } from "@/components/ui/label";
import { Button } from "@/components/ui/button";
import { Switch } from "@/components/ui/switch";
import { Toaster } from "@/components/ui/sonner";
import { toast } from "sonner";
import { Separator } from "@/components/ui/separator";
import { Link } from "react-router-dom";
import { LuExternalLink } from "react-icons/lu";
import { StatusBarMessagesContext } from "@/context/statusbar-provider";
import {
Select,
SelectContent,
SelectGroup,
SelectItem,
SelectTrigger,
} from "@/components/ui/select";
type SearchSettingsViewProps = {
setUnsavedChanges: React.Dispatch<React.SetStateAction<boolean>>;
};
type SearchSettings = {
enabled?: boolean;
reindex?: boolean;
model_size?: SearchModelSize;
};
export default function SearchSettingsView({
setUnsavedChanges,
}: SearchSettingsViewProps) {
const { data: config, mutate: updateConfig } =
useSWR<FrigateConfig>("config");
const [changedValue, setChangedValue] = useState(false);
const [isLoading, setIsLoading] = useState(false);
const { addMessage, removeMessage } = useContext(StatusBarMessagesContext)!;
const [searchSettings, setSearchSettings] = useState<SearchSettings>({
enabled: undefined,
reindex: undefined,
model_size: undefined,
});
const [origSearchSettings, setOrigSearchSettings] = useState<SearchSettings>({
enabled: undefined,
reindex: undefined,
model_size: undefined,
});
useEffect(() => {
if (config) {
if (searchSettings?.enabled == undefined) {
setSearchSettings({
enabled: config.semantic_search.enabled,
reindex: config.semantic_search.reindex,
model_size: config.semantic_search.model_size,
});
}
setOrigSearchSettings({
enabled: config.semantic_search.enabled,
reindex: config.semantic_search.reindex,
model_size: config.semantic_search.model_size,
});
}
// we know that these deps are correct
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [config]);
const handleSearchConfigChange = (newConfig: Partial<SearchSettings>) => {
setSearchSettings((prevConfig) => ({ ...prevConfig, ...newConfig }));
setUnsavedChanges(true);
setChangedValue(true);
};
const saveToConfig = useCallback(async () => {
setIsLoading(true);
axios
.put(
`config/set?semantic_search.enabled=${searchSettings.enabled ? "True" : "False"}&semantic_search.reindex=${searchSettings.reindex ? "True" : "False"}&semantic_search.model_size=${searchSettings.model_size}`,
{
requires_restart: 0,
},
)
.then((res) => {
if (res.status === 200) {
toast.success("Explore settings have been saved.", {
position: "top-center",
});
setChangedValue(false);
updateConfig();
} else {
toast.error(`Failed to save config changes: ${res.statusText}`, {
position: "top-center",
});
}
})
.catch((error) => {
const errorMessage =
error.response?.data?.message ||
error.response?.data?.detail ||
"Unknown error";
toast.error(`Failed to save config changes: ${errorMessage}`, {
position: "top-center",
});
})
.finally(() => {
setIsLoading(false);
});
}, [
updateConfig,
searchSettings.enabled,
searchSettings.reindex,
searchSettings.model_size,
]);
const onCancel = useCallback(() => {
setSearchSettings(origSearchSettings);
setChangedValue(false);
removeMessage("search_settings", "search_settings");
}, [origSearchSettings, removeMessage]);
useEffect(() => {
if (changedValue) {
addMessage(
"search_settings",
`Unsaved Explore settings changes`,
undefined,
"search_settings",
);
} else {
removeMessage("search_settings", "search_settings");
}
// we know that these deps are correct
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [changedValue]);
useEffect(() => {
document.title = "Explore Settings - Frigate";
}, []);
if (!config) {
return <ActivityIndicator />;
}
return (
<div className="flex size-full flex-col md:flex-row">
<Toaster position="top-center" closeButton={true} />
<div className="scrollbar-container order-last mb-10 mt-2 flex h-full w-full flex-col overflow-y-auto rounded-lg border-[1px] border-secondary-foreground bg-background_alt p-2 md:order-none md:mb-0 md:mr-2 md:mt-0">
<Heading as="h3" className="my-2">
Explore Settings
</Heading>
<Separator className="my-2 flex bg-secondary" />
<Heading as="h4" className="my-2">
Semantic Search
</Heading>
<div className="max-w-6xl">
<div className="mb-5 mt-2 flex max-w-5xl flex-col gap-2 text-sm text-primary-variant">
<p>
Semantic Search in Frigate allows you to find tracked objects
within your review items using either the image itself, a
user-defined text description, or an automatically generated one.
</p>
<div className="flex items-center text-primary">
<Link
to="https://docs.frigate.video/configuration/semantic_search"
target="_blank"
rel="noopener noreferrer"
className="inline"
>
Read the Documentation
<LuExternalLink className="ml-2 inline-flex size-3" />
</Link>
</div>
</div>
</div>
<div className="flex w-full max-w-lg flex-col space-y-6">
<div className="flex flex-row items-center">
<Switch
id="enabled"
className="mr-3"
disabled={searchSettings.enabled === undefined}
checked={searchSettings.enabled === true}
onCheckedChange={(isChecked) => {
handleSearchConfigChange({ enabled: isChecked });
}}
/>
<div className="space-y-0.5">
<Label htmlFor="enabled">Enabled</Label>
</div>
</div>
<div className="flex flex-col">
<div className="flex flex-row items-center">
<Switch
id="reindex"
className="mr-3"
disabled={searchSettings.reindex === undefined}
checked={searchSettings.reindex === true}
onCheckedChange={(isChecked) => {
handleSearchConfigChange({ reindex: isChecked });
}}
/>
<div className="space-y-0.5">
<Label htmlFor="reindex">Re-Index On Startup</Label>
</div>
</div>
<div className="mt-3 text-sm text-muted-foreground">
Re-indexing will reprocess all thumbnails and descriptions (if
enabled) and apply the embeddings on each startup.{" "}
<em>Don't forget to disable the option after restarting!</em>
</div>
</div>
<div className="mt-2 flex flex-col space-y-6">
<div className="space-y-0.5">
<div className="text-md">Model Size</div>
<div className="space-y-1 text-sm text-muted-foreground">
<p>
The size of the model used for Semantic Search embeddings.
</p>
<ul className="list-disc pl-5 text-sm">
<li>
Using <em>small</em> employs a quantized version of the
model that uses less RAM and runs faster on CPU with a very
negligible difference in embedding quality.
</li>
<li>
Using <em>large</em> employs the full Jina model and will
automatically run on the GPU if applicable.
</li>
</ul>
</div>
</div>
<Select
value={searchSettings.model_size}
onValueChange={(value) =>
handleSearchConfigChange({
model_size: value as SearchModelSize,
})
}
>
<SelectTrigger className="w-20">
{searchSettings.model_size}
</SelectTrigger>
<SelectContent>
<SelectGroup>
{["small", "large"].map((size) => (
<SelectItem
key={size}
className="cursor-pointer"
value={size}
>
{size}
</SelectItem>
))}
</SelectGroup>
</SelectContent>
</Select>
</div>
</div>
<Separator className="my-2 flex bg-secondary" />
<div className="flex w-full flex-row items-center gap-2 pt-2 md:w-[25%]">
<Button className="flex flex-1" aria-label="Reset" onClick={onCancel}>
Reset
</Button>
<Button
variant="select"
disabled={!changedValue || isLoading}
className="flex flex-1"
aria-label="Save"
onClick={saveToConfig}
>
{isLoading ? (
<div className="flex flex-row items-center gap-2">
<ActivityIndicator />
<span>Saving...</span>
</div>
) : (
"Save"
)}
</Button>
</div>
</div>
</div>
);
}