Created using Colab

Author: ruhdevops

docs/scalars_and_keras.ipynb

@@ -1,5 +1,15 @@
 {
   "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/ruh-al-tarikh/Cli/blob/main/docs/scalars_and_keras.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
     {
       "cell_type": "markdown",
       "metadata": {
@@ -9,6 +19,75 @@
         "##### Copyright 2019 The TensorFlow Authors."
       ]
     },
+    {
+      "cell_type": "code",
+      "source": [
+        "# @title AI prompt cell\n",
+        "\n",
+        "import ipywidgets as widgets\n",
+        "from IPython.display import display, HTML, Markdown,clear_output\n",
+        "from google.colab import ai\n",
+        "\n",
+        "dropdown = widgets.Dropdown(\n",
+        "    options=[],\n",
+        "    layout={'width': 'auto'}\n",
+        ")\n",
+        "\n",
+        "def update_model_list(new_options):\n",
+        "    dropdown.options = new_options\n",
+        "update_model_list(ai.list_models())\n",
+        "\n",
+        "text_input = widgets.Textarea(\n",
+        "    placeholder='Ask me anything....',\n",
+        "    layout={'width': 'auto', 'height': '100px'},\n",
+        ")\n",
+        "\n",
+        "button = widgets.Button(\n",
+        "    description='Submit Text',\n",
+        "    disabled=False,\n",
+        "    tooltip='Click to submit the text',\n",
+        "    icon='check'\n",
+        ")\n",
+        "\n",
+        "output_area = widgets.Output(\n",
+        "     layout={'width': 'auto', 'max_height': '300px','overflow_y': 'scroll'}\n",
+        ")\n",
+        "\n",
+        "def on_button_clicked(b):\n",
+        "    with output_area:\n",
+        "        output_area.clear_output(wait=False)\n",
+        "        accumulated_content = \"\"\n",
+        "        for new_chunk in ai.generate_text(prompt=text_input.value, model_name=dropdown.value, stream=True):\n",
+        "            if new_chunk is None:\n",
+        "                continue\n",
+        "            accumulated_content += new_chunk\n",
+        "            clear_output(wait=True)\n",
+        "            display(Markdown(accumulated_content))\n",
+        "\n",
+        "button.on_click(on_button_clicked)\n",
+        "vbox = widgets.GridBox([dropdown, text_input, button, output_area])\n",
+        "\n",
+        "display(HTML(\"\"\"\n",
+        "<style>\n",
+        ".widget-dropdown select {\n",
+        "    font-size: 18px;\n",
+        "    font-family: \"Arial\", sans-serif;\n",
+        "}\n",
+        ".widget-textarea textarea {\n",
+        "    font-size: 18px;\n",
+        "    font-family: \"Arial\", sans-serif;\n",
+        "}\n",
+        "</style>\n",
+        "\"\"\"))\n",
+        "display(vbox)\n"
+      ],
+      "metadata": {
+        "cellView": "form",
+        "id": "UvpcCgErRfU2"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
     {
       "cell_type": "code",
       "execution_count": null,
@@ -187,8 +266,7 @@
         "2.   Specify a log directory\n",
         "3.   Pass the TensorBoard callback to Keras' [Model.fit()](https://www.tensorflow.org/api_docs/python/tf/keras/models/Model#fit).\n",
         "\n",
-        "TensorBoard reads log data from the log directory hierarchy. In this notebook, the root log directory is ```logs/scalars```, suffixed by a timestamped subdirectory. The timestamped subdirectory enables you to easily identify and select training runs as you use TensorBoard and iterate on your model.\n",
-        ""
+        "TensorBoard reads log data from the log directory hierarchy. In this notebook, the root log directory is ```logs/scalars```, suffixed by a timestamped subdirectory. The timestamped subdirectory enables you to easily identify and select training runs as you use TensorBoard and iterate on your model.\n"
       ]
     },
     {
@@ -884,12 +962,16 @@
     "colab": {
       "name": "scalars_and_keras.ipynb",
       "toc_visible": true,
-      "provenance": []
+      "provenance": [],
+      "gpuType": "T4",
+      "cell_execution_strategy": "setup",
+      "include_colab_link": true
     },
     "kernelspec": {
       "display_name": "Python 3",
       "name": "python3"
-    }
+    },
+    "accelerator": "GPU"
   },
   "nbformat": 4,
   "nbformat_minor": 0