Release schema updates

nexus/components/src/AI/Nexus.jsx

@@ -30,7 +30,7 @@ useEffect(() => {
 
 const [activeTabs, setActiveTabs] = useState(
   storedTabs || {
-    datasets: "alignmentDataset",
+    datasets: "trainingDataset",
     models: "modelProvider",
     agents: "agent",
     agentTools: "contractTool",

nexus/components/src/AI/Overview.jsx

@@ -538,29 +538,36 @@ return (
         title="Contribute to the NEAR AI Nexus"
         text={<>This directory is all on-chain.</>}
       >
-        <Grid $gap="20px" $columns="1fr 1fr">
-          <TrendingApp
-              href="https://github.com/near/ai-platform/tree/develop/nexus/components/src/AI/Schema"
-              url="https://near.org/_next/static/media/near-icon.2e682d59.svg"
-              name="ai-platform"
-              loading={false}
-          />
-          <TrendingApp
-              href="https://github.com/near/near-discovery-components/tree/develop/src/Entities/Template"
-              url="https://near.org/_next/static/media/near-icon.2e682d59.svg"
-              name="entity-components"
-              loading={false}
-          />
+        <Grid $gap="20px" $columns="1fr">
           <p>
             Here at the NEAR AI Nexus you can find AI projects from across the
             NEAR ecosystem then compose them into new combinations. Sign in to
-            add or fork any of the existing resource types.
+            add or fork any of the existing resource types. It's easy to upload
+            Datasets, Models, Agent Frameworks, and more.
           </p>
           <p>
             If you need more, this UI is composed of React-on-Chain components
             as is the schema for each type of resource. You can add new fields
-            to resources and add whole new types of resources.
+            to resources and add new types of resources. To do so, open a PR on
+            ai-platform.
+          </p>
+          <TrendingApp
+            href="https://github.com/near/ai-platform/tree/develop/nexus/components/src/AI/Schema"
+            url="https://near.org/_next/static/media/near-icon.2e682d59.svg"
+            name="ai-platform"
+            loading={false}
+          />
+          <p>
+            If you'd like to build a similar UI for your own project, you can
+            use the same Entity Framework of React-on-Chain components to launch
+            a production site in under a minute.
           </p>
+          <TrendingApp
+            href="https://github.com/near/near-discovery-components/tree/develop/src/Entities/Examples"
+            url="https://near.org/_next/static/media/near-icon.2e682d59.svg"
+            name="entity-components"
+            loading={false}
+          />
         </Grid>
       </Card>
     </Section>

nexus/components/src/AI/Schema/Agent.jsx

@@ -2,9 +2,7 @@ const { genSchema: genericGenSchema } = VM.require(
   "${REPL_ACCOUNT}/widget/Entities.Template.GenericSchema",
 );
 
-const genSchema = (ignored) => {
-  const namespace = "near";
-  const entityType = "agent";
+const genSchema = (namespace, entityType, title) => {
   const entityTitle = "Agent";
 
   const genericSchema = genericGenSchema(namespace, entityType, entityTitle);

nexus/components/src/AI/Schema/AgentFramework.jsx

@@ -0,0 +1,27 @@
+const { genSchema: genericGenSchema } = VM.require(
+  "${REPL_ACCOUNT}/widget/Entities.Template.GenericSchema",
+);
+
+const genSchema = (ignored) => {
+  const namespace = "near";
+  const entityType = "trainingDataset";
+  const entityTitle = "Training Dataset";
+
+  const genericSchema = genericGenSchema(namespace, entityType, entityTitle);
+  return {
+    ...genericSchema,
+    code: {
+      type: "string",
+      inputProps: {
+        min: 0,
+        max: 2048,
+        placeholder: `https://github.com/... or other repository url`,
+        required: false,
+      },
+      label: "Repository url",
+      order: 10,
+    },
+  };
+};
+
+return { genSchema };

nexus/components/src/AI/Schema/ModelName.jsx

@@ -2,9 +2,7 @@ const { genSchema: genericGenSchema } = VM.require(
   "${REPL_ACCOUNT}/widget/Entities.Template.GenericSchema",
 );
 
-const genSchema = (ignored) => {
-  const namespace = "near";
-  const entityType = "modelName";
+const genSchema = (namespace, entityType, title) => {
   const entityTitle = "Model Name";
 
   const genericSchema = genericGenSchema(namespace, entityType, entityTitle);

nexus/components/src/AI/Schema/Provider.jsx → nexus/components/src/AI/Schema/ModelProvider.jsx

@@ -1,3 +1,5 @@
+// define apiSchema and credential types
+
 const apiSchema = {
   chat: {
     type: "string",
@@ -23,23 +25,21 @@ const { genSchema: genericGenSchema } = VM.require(
   "${REPL_ACCOUNT}/widget/Entities.Template.GenericSchema",
 );
 
-const genSchema = (ignored) => {
-  const namespace = "near";
-  const entityType = "provider";
-  const entityTitle = "Provider";
+const genSchema = (namespace, entityType, title) => {
+  const entityTitle = title ?? "Provider";
 
   const genericSchema = genericGenSchema(namespace, entityType, entityTitle);
   return {
     ...genericSchema,
-    category: {
+    documentationUrl: {
       type: "string",
       inputProps: {
         min: 4,
         max: 255,
-        placeholder: `Category: Compute marketplace, Provable training, Distributed training, Provable Inference`,
+        placeholder: `https://...`,
         required: false,
       },
-      label: "Category",
+      label: "Documentation URL",
       order: 10,
     },
   };

nexus/components/src/AI/Schema/Nexus.jsx

@@ -20,7 +20,7 @@ const schema = {
   datasets: {
     title: "Datasets",
     icon: "ph ph-list-checks",
-    defaultValue: "alignmentDataset",
+    defaultValue: "trainingDataset",
     items: [
       {
         name: "Crowdsourcing",
@@ -60,6 +60,7 @@ const schema = {
             src="${REPL_ACCOUNT}/widget/Entities.Template.GenericEntityConfig"
             props={{
               entityType: "trainingDataset",
+              schemaFile: "${REPL_ACCOUNT}/widget/AI.Schema.TrainingDataset",
               ...contentProps,
             }}
           />
@@ -81,7 +82,7 @@ const schema = {
             src="${REPL_ACCOUNT}/widget/Entities.Template.GenericEntityConfig"
             props={{
               entityType: "modelProvider",
-              schemaFile: "${REPL_ACCOUNT}/widget/AI.Schema.Provider",
+              schemaFile: "${REPL_ACCOUNT}/widget/AI.Schema.ModelProvider",
               ...contentProps,
             }}
           />
@@ -152,7 +153,7 @@ const schema = {
             }}
           />
         ),
-        icon: "ph ph-factory", // ph-blueprint after upgrade to 2.1.0
+        icon: "ph ph-blueprint",
       },
       {
         name: "Modules",
@@ -218,7 +219,7 @@ const schema = {
             }}
           />
         ),
-        icon: "ph ph-computer-tower", // ph-network after 2.1.0 upgrade
+        icon: "ph ph-network",
       },
     ],
   },
@@ -290,7 +291,7 @@ const schema = {
             }}
           />
         ),
-        icon: "ph ph-seal-question", // ph-seal-percent after 2.1.0 upgrade
+        icon: "ph ph-seal-percent",
       },
       {
         name: "Agent Reputation",
@@ -304,7 +305,7 @@ const schema = {
             }}
           />
         ),
-        icon: "ph ph-crown-simple", //  ph-ranking after 2.1.0 upgrade
+        icon: "ph ph-ranking",
       },
       {
         name: "Compliance Proofs",

nexus/components/src/AI/Schema/AlignmentDataset.jsx → nexus/components/src/AI/Schema/TrainingDataset.jsx

@@ -4,8 +4,8 @@ const { genSchema: genericGenSchema } = VM.require(
 
 const genSchema = (ignored) => {
   const namespace = "near";
-  const entityType = "alignmentDataset";
-  const entityTitle = "Alignment Dataset";
+  const entityType = "trainingDataset";
+  const entityTitle = "Training Dataset";
 
   const genericSchema = genericGenSchema(namespace, entityType, entityTitle);
   return {