Created structure for web app + added nbdev

environment.yml

@@ -10,6 +10,15 @@ dependencies:
   - python=3.11
   - tiktoken
   - langchain
+  - ipywidgets
+  - pandas
+  - fastcore=1.5.28
+  - jupyterlab
+  - ipykernel
+  - jupyter
+  - voila
+  - notebook
+  - sortedcontainers
   - pip
   - pip:
     - langchain-openai

nbs/JunkDrafts/junk1.ipynb

@@ -0,0 +1,203 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "bc8b7226-7b0c-482a-a20a-e18f8b96cf07",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import dashboard\n",
+    "import pprint\n",
+    "# import matplotlib.pyplot as plt\n",
+    "import ipywidgets as widgets\n",
+    "from IPython.display import display, clear_output, HTML\n",
+    "from ipywidgets import Output, Tab\n",
+    "from pprint import pformat\n",
+    "import pandas as pd\n",
+    "\n",
+    "from fastcore.basics import patch\n",
+    "# import matplotlib.pyplot as plt\n",
+    "from IPython.display import display, clear_output, HTML\n",
+    "from ipywidgets import Output\n",
+    "from pprint import pformat\n",
+    "import pandas as pd\n",
+    "#from ipydatagrid import DataGrid\n",
+    "from ipywidgets import Tab"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "774a5039-0238-4eab-9727-ab7f73932c25",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "accordion_welcome = widgets.Accordion(children=[\n",
+    "    widgets.HTML(\"AI for Education\")\n",
+    "])\n",
+    "\n",
+    "accordion_welcome.set_title(0, 'Welcome!')\n",
+    "accordion_welcome.selected_index = 0\n",
+    "\n",
+    "next_tab_button = widgets.Button(description=\"Next\")\n",
+    "# next_tab_button.on_click(switch_to_next_tab)\n",
+    "\n",
+    "# Create Welcome tab content with accordion widgets\n",
+    "welcome_tab_content = widgets.VBox([\n",
+    "    accordion_welcome,\n",
+    "    next_tab_button\n",
+    "])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "ceca90d1-4f19-4627-90f8-da97fd164b8f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tabs = widgets.Tab(children=[welcome_tab_content])\n",
+    "tabs.set_title(0, 'Welcome')\n",
+    "\n",
+    "# Create a label for the title with big, bold, and centered style\n",
+    "title_label = widgets.HTML(\n",
+    "    value = \"<h2>Network Graph</h2>\"\n",
+    "    #style={'font-size': '24px', 'font-weight': 'bold', 'text-align': 'center', 'margin-bottom': '10px'}\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "171cbe79-3ecb-4d16-b407-aa5341e7fd57",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "e15e502ff7d54eaeb2ff5c95bf3347b0",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "VBox(children=(Tab(children=(VBox(children=(Accordion(children=(HTML(value='AI for Education'),), selected_ind…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Display the widgets\n",
+    "display(widgets.VBox([tabs]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "ed34cb8d-623e-4903-941b-fbb072574602",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "963310e40dbd4db29a1944180f5c7393",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Tab(children=(Output(), Output(), Output(), Output()), selected_index=0, titles=('LogIn', 'User Profile', 'Cou…"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from ipywidgets import Tab, Output, Button\n",
+    "\n",
+    "# Create a Tab widget with two Output widgets as children\n",
+    "tab = Tab()\n",
+    "tab.children = [Output(), Output(), Output(), Output()]  # Example content, can be any widget\n",
+    "tab.titles = ('LogIn', 'User Profile', 'Course Overview', 'Test/Assn Generator')  # Set titles for the tabs (optional)\n",
+    "\n",
+    "next_tab_button = widgets.Button(description=\"Next\")\n",
+    "\n",
+    "\n",
+    "# Display the Tab widget\n",
+    "tab"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "dcda1aec-547c-45e5-807a-d9f60a41d4af",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "0efbd9ba3e544aeea4e2fc641ff6a43a",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Button(description='Click me!', style=ButtonStyle())"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from ipywidgets import Button\n",
+    "\n",
+    "# Create a button widget\n",
+    "button = Button(description='Click me!')\n",
+    "\n",
+    "# Display the button widget\n",
+    "button\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "26db1cc9-c205-49a8-a4f8-3d8698726c32",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f35a052d-2791-4c4c-987e-54c6a263f204",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.19"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

nbs/firstTab.ipynb

@@ -0,0 +1,115 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "543f060f-5d9b-4b76-9354-f8483575b468",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#| default_exp firstTab\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "112bc93b-c8cb-4576-87e9-045e953979d0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#| export\n",
+    "import ipywidgets as widgets\n",
+    "from ipywidgets import Tab, Output, Button\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "7a9ea954-5bcd-4871-87a6-fe01fc3590f3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#| export\n",
+    "class FirstTab(widgets.VBox):\n",
+    "    \n",
+    "    def __init__(self):\n",
+    "        # If you forget to call the superconstructor on an extended widget\n",
+    "        # you will get an AttributeError: object has no attribute '_model_id'\n",
+    "        super().__init__()\n",
+    "        \n",
+    "        # Using Accordion\n",
+    "        # Create accordion containing HTML content\n",
+    "        self.using_acc = widgets.Accordion()\n",
+    "        # self.using_acc.set_title(0, 'Using this App')\n",
+    "        USING_TEXT = '''\n",
+    "            In the Data tab above, you can review the dataset.\n",
+    "            In the Selection tab, you can search for and download data of interest.\n",
+    "            Once you've selected data, generate plots in the Visualize tab.\n",
+    "            '''\n",
+    "        self.using_body = widgets.HTML(USING_TEXT)\n",
+    "        self.using_acc.children = (self.using_body, )\n",
+    "        \n",
+    "        # Data Souces Accordion\n",
+    "        # Create accordion containing HTML content\n",
+    "        self.sources_acc = widgets.Accordion()\n",
+    "       # self.sources_acc.set_title(0, 'Data Sources')\n",
+    "        SOURCES_TEXT = '''\n",
+    "            Land-Ocean Temperature Index\n",
+    "            Global Temperature (NASA)\n",
+    "            ,\n",
+    "            GISS Surface Temperature Analysis (NASA)\n",
+    "            \n",
+    "            This site is based on data downloaded from the following site on 2020-07-14:\n",
+    "            Global Mean Estimates based on Land_and Ocean Data (NASA)\n",
+    "            '''\n",
+    "        self.sources_body = widgets.HTML(SOURCES_TEXT)\n",
+    "        self.sources_acc.children = (self.sources_body, )\n",
+    "\n",
+    "        self.next_button = Button(description='Next')\n",
+    "        \n",
+    "        self.children = (self.using_acc, self.sources_acc, self.next_button)\n",
+    "     "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "8ffe56dd-b8e8-43e2-9adf-c0e2531504c1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from nbdev.export import nb_export\n",
+    "nb_export('firstTab.ipynb', 'nbdevFolder')\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2a71b3eb-3d78-473b-8991-e2251a7c09ed",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.19"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}