Bug fixing

frontend/src/app/components/protected/common/chatbot/chatbot.component.scss

@@ -16,6 +16,8 @@
 .messages {
   height: 442px;
   overflow: auto;
+  font-size: 14px;
+  line-height: 20px;
 
   .message {
     margin-top: 15px;

frontend/src/app/components/protected/common/filter/filter.component.html

@@ -5,6 +5,7 @@
     *ngIf="checkBoxText"
     color="primary"
     class="mt-md-0 mt-1 me-3"
+    [matTooltip]="checkBoxTooltip"
     [(ngModel)]="checked"
     (change)="filter()">
     {{checkBoxText}}

frontend/src/app/components/protected/common/filter/filter.component.ts

@@ -24,6 +24,7 @@ export class FilterComponent implements OnInit {
   @Input() type: string;
   @Output() typeChange: EventEmitter<string> = new EventEmitter<string>();
   @Input() checkBoxText: string = null;
+  @Input() checkBoxTooltip: string = null;
   @Input() buttonText: string = null;
   @Input() button2Text: string = null;
   @Input() button3Text: string = null;

frontend/src/app/components/protected/core/header/header.component.html

@@ -82,7 +82,7 @@
     <button
       mat-button
       color="primary"
-      matTooltip="AI chatbot help"
+      matTooltip="AI chatbot"
       class="ms-2 url-btn"
       (click)="toggleChatbot()">
       <div class="d-flex flex-nowrap align-items-center ps-1">

frontend/src/app/components/protected/manage/machine-learning/components/machine-learning-edit-model/machine-learning-edit-model.component.html

@@ -17,7 +17,7 @@ <h3 mat-dialog-title class="mb-3">
       <mat-tab>
 
         <ng-template mat-tab-label>
-          Model
+          Type
         </ng-template>
 
         <div class="mt-3 tab-content">
@@ -456,7 +456,7 @@ <h3 mat-dialog-title class="mb-3">
 
               <p class="mb-1 fw-bold">Threshold</p>
 
-              <mat-form-field class="w-100 standalone-field" *ngIf="use_embeddings">
+              <mat-form-field class="w-100 standalone-field">
                 <span
                   matPrefix
                   matTooltip="Threshold for vectors when doing lookup into training data"
@@ -468,7 +468,7 @@ <h3 mat-dialog-title class="mb-3">
                   matInput
                   placeholder="Threshold ..."
                   type="number"
-                  [disabled]="isLoading"
+                  [disabled]="isLoading || !use_embeddings"
                   min="0.5"
                   max="1"
                   step="0.01"
@@ -524,7 +524,7 @@ <h3 mat-dialog-title class="mb-3">
 
               <p class="mb-1 fw-bold">Vector model</p>
 
-              <mat-form-field class="w-100 standalone-field" *ngIf="use_embeddings">
+              <mat-form-field class="w-100 standalone-field">
                 <span
                   matPrefix
                   matTooltip="Vector model to vectorise training snippets"
@@ -564,7 +564,7 @@ <h3 mat-dialog-title class="mb-3">
 
               <p class="mb-1 fw-bold">Max Context tokens</p>
 
-              <mat-form-field class="w-100 standalone-field me-2" *ngIf="use_embeddings">
+              <mat-form-field class="w-100 standalone-field me-2">
                 <span
                   matPrefix
                   matTooltip="Max context tokens, implying maximum size of context to send to OpenAI"
@@ -575,7 +575,7 @@ <h3 mat-dialog-title class="mb-3">
                 <input
                   matInput
                   placeholder="Max context tokens ..."
-                  [disabled]="isLoading"
+                  [disabled]="isLoading || !use_embeddings"
                   type="number"
                   min="1"
                   max="8000"

frontend/src/app/components/protected/manage/machine-learning/components/machine-learning-edit-model/machine-learning-edit-model.component.ts

@@ -80,6 +80,11 @@ export class MachineLearningEditTypeComponent implements OnInit {
   ngOnInit() {
 
     this.type = this.data?.type;
+    if (this.data?.model) {
+      this.model = {
+        id: this.data?.model,
+      };
+    }
     this.max_context_tokens = this.data?.max_context_tokens ?? 1000;
     this.max_request_tokens = this.data?.max_request_tokens ?? 250;
     this.max_tokens = this.data?.max_tokens ?? 1000;
@@ -197,6 +202,9 @@ export class MachineLearningEditTypeComponent implements OnInit {
             this.model = this.models.filter(x => x.id === 'gpt-3.5-turbo')[0];
           }
         }
+        if (this.model.id.startsWith('gpt')) {
+          this.cached = false;
+        }
 
         if (this.data?.vector_model) {
           this.vector_model = this.models.filter(x => x.id === this.data.vector_model)[0];
@@ -235,6 +243,7 @@ export class MachineLearningEditTypeComponent implements OnInit {
 
     if (this.model?.id?.startsWith('gpt-')) {
       this.prefix = '';
+      this.cached = false;
     } else if (this.use_embeddings) {
       this.prefix = 'Answer the following QUESTION while using the information in the following CONTEXT. If you cannot answer the question using the specified CONTEXT then answer "I don\'t know the answer, try to be more specific.".\r\n\r\nQUESTION: [QUESTION]\r\n\r\nCONTEXT: [CONTEXT]\r\n\r\nANSWER:';
     }

frontend/src/app/components/protected/manage/machine-learning/components/machine-learning-edit-questionnaire/machine-learning-edit-questionnaire.component.html

@@ -91,6 +91,7 @@ <h3 mat-dialog-title class="mb-0">
 
     <button
       mat-flat-button
+      color="primary"
       type="submit">
       Save
     </button>

frontend/src/app/components/protected/manage/machine-learning/components/machine-learning-edit-questionnaire/machine-learning-edit-questionnaire.component.ts

@@ -19,7 +19,7 @@ export class MachineLearningEditQuestionnaireComponent {
 
   name: string = '';
   type: string = 'single-shot';
-  action: string = 'sendgrid-subscribe';
+  action: string = '';
   types: string[] = [
     'single-shot'
   ];

frontend/src/app/components/protected/manage/machine-learning/machine-learning-training-data/machine-learning-training-data.component.html

@@ -28,6 +28,7 @@ <h3 class="mb-2 fw-bold">Machine Learning training data</h3>
           (buttonClick)="create()"
           [(type)]="type"
           checkBoxText="VSS"
+          checkBoxTooltip="Use vector semantic search to search for snippets (ONLY works if you have vectorized your type)"
           [types]="types">
         </app-filter>
 

frontend/src/app/helpers/common-regex.ts

@@ -11,14 +11,14 @@ export const CommonRegEx: { [key: string]: RegExp } = {
   phone: /^[0-9 ]*$/,
   name: /^[a-z0-9]{2,20}$/,
   subject: /^.{4,1000}$/,
-  appNames: /^[a-z0-9_.-]+$/,
-  appNamesWithDot: /^[a-z0-9_.-]+$/,
-  appNamesWithUppercaseDot: /^[a-zA-Z0-9_.-]+$/,
+  appNames: /^[a-z0-9_.\-]+$/,
+  appNamesWithDot: /^[a-z0-9_.\-]+$/,
+  appNamesWithUppercaseDot: /^[a-zA-Z0-9_.\-]+$/,
   appNameWithUppercase: /^[a-zA-Z0-9_]+$/,
-  appNameWithUppercaseHyphen: /^[a-zA-Z0-9_-]+$/,
+  appNameWithUppercaseHyphen: /^[a-zA-Z0-9_\-]+$/,
   domain: /(^https?:\/\/)([\w\-])+\.{1}([a-zA-Z]{2,63})([\/\w-]*)*\/?\??([^#\n\r]*)?#?([^\n\r]*)/,
   backend: /^https?:\/\/([\w\-.])+(:[0-9]*)?(\.\w+)?$/,
   email: /^[\w-\.]+@([\w-]+\.)+[\w-]{2,4}$/,
   password: /^.{12,}$/,
-  recaptcha: /^([a-zA-Z-_0-9]{20,100})$/,
+  recaptcha: /^([a-zA-Z\-_0-9]{20,100})$/,
 };

frontend/src/assets/styles/_variables/fonts.scss

@@ -8,5 +8,11 @@
   src: url("../../fonts/Inter-Medium.ttf");
 }
 
+@font-face {
+  font-family: "inter-regular";
+  src: url("../../fonts/Inter-Bold.ttf");
+  font-weight: bold;
+}
+
 $ainiro_font: "inter-regular";
 $ainiro_font_medium: "inter-medium";