Built out the ui trainer plugin with db comminication

ui/src/app/train/jobConfig.ts

@@ -19,8 +19,9 @@ export const defaultJobConfig: JobConfig = {
     name: 'my_first_flex_lora_v1',
     process: [
       {
-        type: 'sd_trainer',
+        type: 'ui_trainer',
         training_folder: 'output',
+        sqlite_db_path: './aitk_db.db',
         device: 'cuda:0',
         network: {
           type: 'lora',

ui/src/components/formInputs.tsx

@@ -51,10 +51,29 @@ export const NumberInput = (props: NumberInputProps) => {
         type="number"
         value={value}
         onChange={(e) => {
-          let value = Number(e.target.value);
-          if (isNaN(value)) value = 0;
+          // Use parseFloat instead of Number to properly handle decimal values
+          const rawValue = e.target.value;
+          
+          // Special handling for empty or partial inputs
+          if (rawValue === '' || rawValue === '-' || rawValue === '.') {
+            // For empty or partial inputs (like just a minus sign or decimal point),
+            // we need to maintain the raw input in the input field
+            // but pass a valid number to onChange
+            onChange(0);
+            return;
+          }
+          
+          let value = parseFloat(rawValue);
+          
+          // Handle NaN cases
+          if (isNaN(value)) {
+            value = 0;
+          }
+          
+          // Apply min/max constraints only for valid numbers
           if (min !== undefined && value < min) value = min;
           if (max !== undefined && value > max) value = max;
+          
           onChange(value);
         }}
         className={inputClasses}
@@ -62,6 +81,8 @@ export const NumberInput = (props: NumberInputProps) => {
         required={required}
         min={min}
         max={max}
+        // Allow decimal points
+        step="any"
       />
     </div>
   );

ui/src/types.ts

@@ -121,7 +121,8 @@ export interface SampleConfig {
 }
 
 export interface ProcessConfig {
-  type: 'sd_trainer';
+  type: 'ui_trainer';
+  sqlite_db_path?: string;
   training_folder: string;
   device: string;
   network?: NetworkConfig;