Started doing info bubble docs on the simple ui

ui/src/docs.tsx

@@ -0,0 +1,60 @@
+import React from 'react';
+import { ConfigDoc } from '@/types';
+
+const docs: { [key: string]: ConfigDoc } = {
+  'config.name': {
+    title: 'Training Name',
+    description: (
+      <>
+        The name of the training job. This name will be used to identify the job in the system and will the the filename
+        of the final model. It must be unique and can only contain alphanumeric characters, underscores, and dashes. No
+        spaces or special characters are allowed.
+      </>
+    ),
+  },
+  'gpuids': {
+    title: 'GPU ID',
+    description: (
+      <>
+        This is the GPU that will be used for training. Only one GPU can be used per job at a time via the UI currently. 
+				However, you can start multiple jobs in parallel, each using a different GPU.
+      </>
+    ),
+  },
+  'config.process[0].trigger_word': {
+    title: 'Trigger Word',
+    description: (
+      <>
+        Optional: This will be the word or token used to trigger your concept or character. 
+				<br />
+				<br />
+				When using a trigger word, 
+				If your captions do not contain the trigger word, it will be added automatically the beginning of the caption. If you do not have
+				captions, the caption will become just the trigger word. If you want to have variable trigger words in your captions to put it in different spots,
+				you can use the <code>{'[trigger]'}</code> placeholder in your captions. This will be automatically replaced with your trigger word.
+				<br />
+				<br />
+				Trigger words will not automatically be added to your test prompts, so you will need to either add your trigger word manually or use the 
+				<code>{'[trigger]'}</code> placeholder in your test prompts as well.
+      </>
+    ),
+  },
+  'config.process[0].model.name_or_path': {
+    title: 'Name or Path',
+    description: (
+      <>
+        The name of a diffusers repo on Huggingface or the local path to the base model you want to train from. The folder needs to be in 
+				diffusers format for most models. For some models, such as SDXL and SD1, you can put the path to an all in one safetensors checkpoint here.
+      </>
+    ),
+  },
+};
+
+export const getDoc = (key: string | null | undefined): ConfigDoc | null => {
+  if (key && key in docs) {
+    return docs[key];
+  }
+  return null;
+};
+
+export default docs;