TupleTool Search Functionality

Using a small language model to compute similarity between users input and the documentation for the TupleTools, users will be able to search for variables and TupleTools.

src/components/semantic.jsx

@@ -10,7 +10,7 @@
 \*****************************************************************************/
 import {env} from "@xenova/transformers";
 
-// To always download the model from huggingface.co
+// To always download the model from huggingface.com
 env.allowLocalModels = false;
 env.useBrowserCache = false;
 // Create a new worker
@@ -26,7 +26,6 @@ let loadResolve;
  * @type {function}
  */
 let queryResolve;
-let top5;
 
 worker.onmessage = function (event) {
     const message = event.data;
@@ -34,17 +33,13 @@ worker.onmessage = function (event) {
         case "progress":
             if (message.progress.status === "ready") {
                 loadResolve();
-            } else {
-                console.log(message.progress.progress);
             }
             break;
         case "corpus":
             // the corpus is embedded
             queryResolve();
-            //query_embedding = message.data;
             break;
         case "result":
-            top5 = message.result;
             queryResolve(message.result);
             break;
     }
@@ -62,8 +57,7 @@ export async function loadModel(modelname) {
     });
 }
 /**
- * Calculate corpus embedding
- * Might become obsolete when this is done in the backend
+ * Passes corpus embedding from backend to the worker
  * @returns
  */
 export async function embedCorpus(metadata) {