cleanup

src/components/ChatV2.jsx

@@ -7,7 +7,7 @@ export default function Chat() {
     <div>
         <div className="flex justify-center m-3 gap-2">
           <div className="sm:w-[500px] w-full">
-            <ChatWindow />
+            <ChatWindow maxTokens={300}/>
           </div>
         </div>
     </div>

src/components/ChatWindow.jsx

@@ -28,18 +28,15 @@ function ChatWindow({
     }
     
     if (fileText) {
-      console.log('found file text splitting into chunks')
       const textSplitter = new RecursiveCharacterTextSplitter({ chunkSize: 1000 });
       const docs = await textSplitter.createDocuments([fileText]);
       let qaPrompt;
-      console.log(docs);
       try {
         const vectorStore = await MemoryVectorStore.fromTexts(
           [...docs.map(doc => doc.pageContent)],
           [...docs.map((v, k) => k)],
           new XenovaTransformersEmbeddings()
         )
-        console.log(vectorStore);
         const queryResult = await vectorStore.similaritySearch(userInput, 1);
         console.log("queryResult", queryResult);
         qaPrompt = 

src/components/Loader.jsx

@@ -11,9 +11,9 @@ const Loader = () => {
         <p style={{ color: "red" }}>Sorry, unsupported!</p>
         <p> Reason: {gpuDevice.unsupportedReason}</p>
         <p>
-          <a href={"http://github.com/react-llm"}>react-llm</a> runs models in
+          This project runs models in
           the browser with WebGPU and only works in Google Chrome v113 and above
-          on Desktop with supported GPUs.
+          on Desktop with supported GPUs. Experimental support may be available for desktop Firefox and Safari Tech Preview.
         </p>
       </div>
     );
@@ -33,8 +33,11 @@ const Loader = () => {
           }}
         >
           <div className="lg:hidden">
+            <h1 className="p-1">
+              <b>💎 web-llm-embed 📄</b>
+            </h1>
             <p className="p-1">
-              <b>web-llm-embed</b>
+              Proof of concept using Transformers.js embeddings in a WebGPU powered LLM chat.
             </p>
             <p className="p-1">
               No data is sent to the server. Conversations are cached in local
@@ -47,13 +50,13 @@ const Loader = () => {
               Powered by Apache TVM and MLC Relax Runtime.
             </p>
             <p className="p-1">
-              Model is Vicuna 7b trained by LLMSys. It can be deleted in Cache Storage (tvmjs).
+              Model is Vicuna 7b trained by LMSys.
             </p>
           </div>
           <div>
-            This will download the model and may take a few minutes. After the
-            first time, it will be cached.
-          </div>
+            This will download the model (~4GB) and may take a few minutes. After the
+            first time, it will be cached. It can be deleted in Dev Tools Cache Storage (tvmjs).
+          </div> 
 
           <button
             style={{ padding: "10px" }}