feat: added kpi stats to homepage

frontend/src/app/routes/models/index.tsx

@@ -111,12 +111,12 @@ const LayoutToggle = ({
   query,
   updateQuery,
   isMobile,
-  disabled=false
+  disabled = false,
 }: {
   updateQuery: (params: TQueryParams) => void;
   query: TQueryParams;
   isMobile?: boolean;
-  disabled?:boolean 
+  disabled?: boolean;
 }) => {
   const activeLayout = query[SEARCH_PARAMS.layout];
   return (
@@ -134,7 +134,7 @@ const LayoutToggle = ({
       disabled={disabled}
     >
       {activeLayout !== LayoutView.LIST ? (
-        <ListIcon className="icon-lg"/>
+        <ListIcon className="icon-lg" />
       ) : (
         <CategoryIcon className="icon-lg" />
       )}
@@ -295,7 +295,10 @@ export const ModelsPage = () => {
         <div className="w-full grid md:grid-cols-4 md:border rounded-md p-2 md:border-gray-border gap-x-2 mt-10 grid-rows-2 md:grid-rows-1 gap-y-6 md:gap-y-0 h-screen">
           <div className="overflow-scroll md:row-start-1 col-span-1 md:col-span-2">
             <div className="grid grid-cols-1 sm:grid-cols-2 xl:grid-cols-3 gap-x-4 gap-y-10">
-            <ModelListGridLayout models={data?.results} isPending={isPending} />
+              <ModelListGridLayout
+                models={data?.results}
+                isPending={isPending}
+              />
             </div>
           </div>
           <div className="col-span-2 md:col-span-2 row-start-1 ">
@@ -360,7 +363,11 @@ export const ModelsPage = () => {
             <div className="md:flex items-center gap-x-10 hidden">
               {/* Desktop */}
               <SetMapToggle updateQuery={updateQuery} query={query} />
-              <LayoutToggle updateQuery={updateQuery} query={query} disabled={mapViewIsActive as boolean}/>
+              <LayoutToggle
+                updateQuery={updateQuery}
+                query={query}
+                disabled={mapViewIsActive as boolean}
+              />
             </div>
           </div>
           {/* Mobile */}

frontend/src/components/landing/cta/cta.tsx

@@ -3,12 +3,9 @@ import HOTTeam from "@/assets/images/hot_team_2.jpg";
 import styles from "./cta.module.css";
 import { APP_CONTENT } from "@/utils";
 import { Image } from "@/components/ui/image";
+import { Link } from "@/components/ui/link";
 
 const CallToAction = () => {
-  const joinTheCommunityClick = () =>
-  {
-      window.open("https://slack.hotosm.org/")
-  }
   return (
     <section className={styles.container}>
       <div className={styles.cta}>
@@ -17,10 +14,16 @@ const CallToAction = () => {
           <p>{APP_CONTENT.homepage.callToAction.paragraph}</p>
         </div>
         <div className={styles.ctaButtonContainer}>
-          <Button variant="primary" onClick={joinTheCommunityClick}>
-            {" "}
-            {APP_CONTENT.homepage.callToAction.ctaButton}
-          </Button>
+          <Link
+            href={APP_CONTENT.homepage.callToAction.ctaLink}
+            title={APP_CONTENT.homepage.callToAction.ctaButton}
+            nativeAnchor
+            blank
+          >
+            <Button variant="primary">
+              {APP_CONTENT.homepage.callToAction.ctaButton}
+            </Button>
+          </Link>
         </div>
       </div>
       <div className={styles.imageBlock}>

frontend/src/components/landing/kpi/kpi.tsx

@@ -1,41 +1,68 @@
 import { APP_CONTENT } from "@/utils";
 import styles from "./kpi.module.css";
+import { API_ENDPOINTS, apiClient } from "@/services";
+import { useQuery } from "@tanstack/react-query";
 
 type TKPIS = {
-  figure: string;
+  figure?: number;
   label: string;
 }[];
 
-const KPIs: TKPIS = [
-  {
-    figure: "15",
-    label: APP_CONTENT.homepage.kpi.publishedAIModels,
-  },
-  {
-    figure: "120",
-    label: APP_CONTENT.homepage.kpi.totalUsers,
-  },
-  {
-    figure: "100",
-    label: APP_CONTENT.homepage.kpi.humanFeedback,
-  },
-  {
-    figure: "15",
-    label: APP_CONTENT.homepage.kpi.acceptedPrediction,
-  }
-  // ,
-  // {
-  //   figure: "86",
-  //   label: "Mappers",
-  // },
-];
+type TKPIResponse = {
+  total_accepted_predictions: number;
+  total_feedback_labels: number;
+  total_models_published: number;
+  total_registered_users: number;
+};
+
+const fetchKPIStats = async (): Promise<TKPIResponse> => {
+  const { data } = await apiClient.get(API_ENDPOINTS.GET_KPI_STATS);
+  return data;
+};
 
 const Kpi = () => {
+  const { data, isLoading,isError,error} = useQuery({
+    queryKey: ["kpis"],
+    queryFn: fetchKPIStats,
+  });
+
+  if (isError) {
+    return (
+      <section className={styles.kpiContainer}>
+        <div>
+          <h2>Error fetching KPI Stats</h2>
+          <p>{(error as Error)?.message || 'An unknown error occurred.'}</p>
+        </div>
+      </section>
+    );
+  }
+
+  const KPIs: TKPIS = [
+    {
+      figure: data?.total_models_published ?? 0,
+      label: APP_CONTENT.homepage.kpi.publishedAIModels,
+    },
+    {
+      figure: data?.total_registered_users ?? 0,
+      label: APP_CONTENT.homepage.kpi.totalUsers,
+    },
+    {
+      figure: data?.total_feedback_labels ?? 0,
+      label: APP_CONTENT.homepage.kpi.humanFeedback,
+    },
+    {
+      figure: data?.total_accepted_predictions ?? 0,
+      label: APP_CONTENT.homepage.kpi.acceptedPrediction,
+    },
+  ];
+
   return (
     <section className={styles.kpiContainer}>
       {KPIs.map((kpi, id) => (
         <div key={`kpi-${id}`} className={styles.kpiItem}>
-          <h1>{kpi.figure}</h1>
+          <h1 className={`${isLoading ? "animate-pulse" : ""}`}>
+            {kpi.figure}
+          </h1>
           <h3>{kpi.label}</h3>
         </div>
       ))}

frontend/src/features/models/components/dialogs/training-details-dialog.tsx

@@ -6,13 +6,14 @@ type TrainingDetailsDialogProps = {
   isOpened: boolean;
   closeDialog: () => void;
   trainingId: number;
-  datasetId:number 
+  datasetId: number;
 };
 
 const TrainingDetailsDialog: React.FC<TrainingDetailsDialogProps> = ({
   isOpened,
   closeDialog,
-  trainingId,datasetId
+  trainingId,
+  datasetId,
 }) => {
   const isMobile = useDevice();
 
@@ -23,7 +24,11 @@ const TrainingDetailsDialog: React.FC<TrainingDetailsDialogProps> = ({
       label={`Training ${trainingId}`}
       size={isMobile ? "extra-large" : "medium"}
     >
-      <ModelProperties trainingId={trainingId} isTrainingDetailsDialog datasetId={datasetId}/>
+      <ModelProperties
+        trainingId={trainingId}
+        isTrainingDetailsDialog
+        datasetId={datasetId}
+      />
     </Dialog>
   );
 };

frontend/src/features/models/components/model-card.tsx

@@ -6,14 +6,11 @@ import { Link } from "@/components/ui/link";
 import { truncateString } from "@/utils";
 import { roundNumber } from "@/utils/number-utils";
 
-
 type ModelCardProps = {
   model: TModel;
 };
 
-
 const ModelCard: React.FC<ModelCardProps> = ({ model }) => {
-
   return (
     <div className="flex items-center  w-full">
       <Link
@@ -25,8 +22,8 @@ const ModelCard: React.FC<ModelCardProps> = ({ model }) => {
       >
         <div className="h-[200px] w-full">
           <Image
-            height='256px'
-            width='256px'
+            height="256px"
+            width="256px"
             src={
               model.thumbnail_url
                 ? `${model.thumbnail_url}.png`

frontend/src/features/models/components/model-details-properties.tsx

@@ -107,9 +107,8 @@ const ModelProperties: React.FC<ModelPropertiesProps> = ({
     source_imagery,
   } = data || {};
 
-
-  const trainingResultsGraph = `${ENVS.BASE_API_URL}workspace/download/dataset_${datasetId}/output/training_${data?.id}/graphs/training_validation_sparse_categorical_accuracy.png`
-
+  const trainingResultsGraph = `${ENVS.BASE_API_URL}workspace/download/dataset_${datasetId}/output/training_${data?.id}/graphs/training_validation_sparse_categorical_accuracy.png`;
+
   const content = useMemo(() => {
     if (isPending) {
       return <ModelPropertiesSkeleton isTrainingDetailsDialog />;
@@ -201,9 +200,11 @@ const ModelProperties: React.FC<ModelPropertiesProps> = ({
             isTMS
           />
         </div>
-
-        <div className={`col-span-3 lg:col-span-2 ${isTrainingDetailsDialog && 'lg:col-span-3'}`}>
-            <Image src={trainingResultsGraph} alt={""} />
+
+        <div
+          className={`col-span-3 lg:col-span-2 ${isTrainingDetailsDialog && "lg:col-span-3"}`}
+        >
+          <Image src={trainingResultsGraph} alt={""} />
         </div>
         {/* Show logs only in modal and when status failed */}
         {isTrainingDetailsDialog && data?.status === TrainingStatus.FAILED && (
@@ -221,7 +222,7 @@ const ModelProperties: React.FC<ModelPropertiesProps> = ({
     input_contact_spacing,
     input_boundary_width,
     source_imagery,
-    trainingResultsGraph
+    trainingResultsGraph,
   ]);
 
   return isError ? (

frontend/src/features/models/components/training-history-table.tsx

@@ -30,7 +30,7 @@ type TrainingHistoryTableProps = {
   modelId: string;
   trainingId: number;
   modelOwner: string;
-  datasetId:number 
+  datasetId: number;
 };
 
 const columnDefinitions = (
@@ -226,7 +226,7 @@ const TrainingHistoryTable: React.FC<TrainingHistoryTableProps> = ({
   trainingId,
   modelId,
   modelOwner,
-  datasetId
+  datasetId,
 }) => {
   const [offset, setOffset] = useState(0);
   const { data, isPending, isPlaceholderData } = useTrainingHistory(

frontend/src/services/api-routes.ts

@@ -7,6 +7,10 @@ export const API_ENDPOINTS = {
   AUTH_CALLBACK: "auth/callback/",
   USER: "auth/me/",
 
+  //KPIs
+
+  GET_KPI_STATS: "kpi/stats/ ",
+
   //Models
   GET_MODELS: "model/",
   GET_MODEL_DETAILS: (id: string) => `model/${id}`,

frontend/src/utils/content.ts

@@ -73,10 +73,10 @@ export const APP_CONTENT = {
     ctaSecondaryButton: "Start Mapping",
     jumbotronImageAlt: "A user engaging in a mapping activity",
     kpi: {
-      publishedAIModels:"Published AI Models",
-      totalUsers:"Total Registered Users",
+      publishedAIModels: "Published AI Models",
+      totalUsers: "Total Registered Users",
       humanFeedback: "Human Feedbacks",
-      acceptedPrediction: "Accepted Prediction"
+      acceptedPrediction: "Accepted Prediction",
     },
     aboutTitle: "WHAT IS fAIr?",
     aboutContent: `fAIr is an open AI-assisted mapping service developed by the Humanitarian OpenStreetMap Team (HOT) that aims to improve the efficiency and accuracy of mapping efforts for humanitarian purposes. The service uses AI models, specifically computer vision techniques, to detect objects in satellite and UAV imagery.`,
@@ -144,7 +144,7 @@ export const APP_CONTENT = {
         {
           question: "Can I use fAIr without having a sound knowledge of AI?",
           answer:
-            "fAIr is design for users without the need for python or any programming skills. However, basic knowledge in  humanitarian mapping and Geographical Information Systems (GIS) would be sufficient for self exploration.",
+            "fAIr is designed for users without the need for Python or any programming skills. However, basic knowledge in  humanitarian mapping and Geographical Information Systems (GIS) would be sufficient for self exploration.",
         },
       ],
     },
@@ -158,7 +158,9 @@ export const APP_CONTENT = {
     callToAction: {
       title: `We can't do it without you`,
       ctaButton: "Join The Community",
-      paragraph: "fAIr is a collaborative project. We welcome all types of experience to join our community on HOTOSM Slack. There is always a room for AI/ML for earth observation expertise, community engagement enthusiastic, academic researcher or student looking for an academic challenge around social impact."   
+      ctaLink: "https://slack.hotosm.org",
+      paragraph:
+        "fAIr is a collaborative project. We welcome all types of experience to join our community on HOTOSM Slack. There is always a room for AI/ML for earth observation expertise, community engagement enthusiastic, academic researcher or student looking for an academic challenge around social impact.",
     },
   },
   pageNotFound: {