nateraw · February 22, 2022 19:16
diff --git a/gradio-blocks-demo.ipynb b/gradio-blocks-demo.ipynb
 {
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "gradio-blocks-demo.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyPRUprPOfdoYeyHX8K2djOq",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/nateraw/147d1bd360263022ac3639ddd961fec0/gradio-blocks-demo.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "! pip install gradio==2.8.0a100"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Z4-LfOTZuMUI",
        "outputId": "7e37a7a5-bffb-4134-b887-53717e6be8af"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting gradio==2.8.0a100\n",
            "  Downloading gradio-2.8.0a100-py3-none-any.whl (1.0 MB)\n",
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            "Building wheels for collected packages: ffmpy, python-multipart\n",
            "  Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for ffmpy: filename=ffmpy-0.3.0-py3-none-any.whl size=4712 sha256=fbecaf5e17233322984026ba0bcbbb4f95b02ac8410d2fab4affcb12006c0b31\n",
            "  Stored in directory: /root/.cache/pip/wheels/13/e4/6c/e8059816e86796a597c6e6b0d4c880630f51a1fcfa0befd5e6\n",
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            "Successfully built ffmpy python-multipart\n",
            "Installing collected packages: sniffio, mdurl, uc-micro-py, multidict, markdown-it-py, frozenlist, anyio, yarl, starlette, pynacl, pydantic, monotonic, mdit-py-plugins, linkify-it-py, h11, cryptography, bcrypt, backoff, asynctest, async-timeout, asgiref, aiosignal, uvicorn, python-multipart, pydub, pycryptodome, paramiko, ffmpy, fastapi, analytics-python, aiohttp, gradio\n",
            "Successfully installed aiohttp-3.8.1 aiosignal-1.2.0 analytics-python-1.4.0 anyio-3.5.0 asgiref-3.5.0 async-timeout-4.0.2 asynctest-0.13.0 backoff-1.10.0 bcrypt-3.2.0 cryptography-36.0.1 fastapi-0.74.1 ffmpy-0.3.0 frozenlist-1.3.0 gradio-2.8.0a100 h11-0.13.0 linkify-it-py-1.0.3 markdown-it-py-2.0.1 mdit-py-plugins-0.3.0 mdurl-0.1.0 monotonic-1.6 multidict-6.0.2 paramiko-2.9.2 pycryptodome-3.14.1 pydantic-1.9.0 pydub-0.25.1 pynacl-1.5.0 python-multipart-0.0.5 sniffio-1.2.0 starlette-0.17.1 uc-micro-py-1.0.1 uvicorn-0.17.5 yarl-1.7.2\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 375
        },
        "id": "CDM3M5equLpC",
        "outputId": "879d558b-1070-4f8b-c073-283ba75deca1"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Colab notebook detected. To show errors in colab notebook, set `debug=True` in `launch()`\n"
          ]
        },
        {
          "output_type": "error",
          "ename": "AttributeError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-2-ca5cdb9cb25a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     29\u001b[0m         \u001b[0mct_run\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclick\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mct_model\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minputs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdisease\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mct_scan\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moutputs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mct_results\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     30\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 31\u001b[0;31m \u001b[0mblock\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlaunch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/gradio/launchable.py\u001b[0m in \u001b[0;36mlaunch\u001b[0;34m(self, inline, inbrowser, share, debug, auth, auth_message, private_endpoint, prevent_thread_lock, show_error, server_name, server_port, show_tips, enable_queue, height, width, encrypt, cache_examples, favicon_path, ssl_keyfile, ssl_certfile)\u001b[0m\n\u001b[1;32m    126\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    127\u001b[0m             \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstrings\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0men\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"RUNNING_LOCALLY\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath_to_local_server\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 128\u001b[0;31m         \u001b[0;32mif\u001b[0m \u001b[0mis_colab\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrequires_permissions\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    129\u001b[0m             \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstrings\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0men\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"MEDIA_PERMISSIONS_IN_COLAB\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    130\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mAttributeError\u001b[0m: 'Blocks' object has no attribute 'requires_permissions'"
          ]
        }
      ],
      "source": [
        "import gradio as gr\n",
        "import random\n",
        "\n",
        "def xray_model(diseases, img): \n",
        "    return {disease: random.random() for disease in diseases}\n",
        "\n",
        "def ct_model(diseases, desc):\n",
        "    return {disease: 0.5 for disease in diseases}\n",
        "\n",
        "block = gr.Blocks()\n",
        "\n",
        "with block:\n",
        "    gr.Markdown(\"Choose the disease(s) to predict:\")\n",
        "    disease = gr.inputs.CheckboxGroup([\"Covid\", \"Malaria\", \"Lung Cancer\"],\n",
        "                                      label=\"Disease to Scan For\")\n",
        "\n",
        "    with gr.Tab(\"X-ray Image\"):\n",
        "        with gr.Row():\n",
        "            xray_scan = gr.inputs.Image()\n",
        "            xray_results = gr.outputs.JSON()\n",
        "        xray_run = gr.Button(\"Run\")\n",
        "        xray_run.click(xray_model, inputs=[disease, xray_scan], outputs=xray_results)\n",
        "\n",
        "    with gr.Tab(\"Clinical Notes\"):\n",
        "        with gr.Row():\n",
        "            ct_scan = gr.inputs.Textbox(placeholder=\"The patient has reported findings\", lines=7)\n",
        "            ct_results = gr.outputs.JSON()\n",
        "        ct_run = gr.Button(\"Run\")\n",
        "        ct_run.click(ct_model, inputs=[disease, ct_scan], outputs=ct_results)\n",
        "\n",
        "block.launch()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "MB8erB2huVyi"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
 }
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	"provenance": [],
	"authorship_tag": "ABX9TyPRUprPOfdoYeyHX8K2djOq",
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	"cells": [
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	"cell_type": "markdown",
	"metadata": {
	"id": "view-in-github",
	"colab_type": "text"
	},
	"source": [
	"<a href=\"https://colab.research.google.com/gist/nateraw/147d1bd360263022ac3639ddd961fec0/gradio-blocks-demo.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
	]
	},
	{
	"cell_type": "code",
	"source": [
	"! pip install gradio==2.8.0a100"
	],
	"metadata": {
	"colab": {
	"base_uri": "https://localhost:8080/"
	},
	"id": "Z4-LfOTZuMUI",
	"outputId": "7e37a7a5-bffb-4134-b887-53717e6be8af"
	},
	"execution_count": null,
	"outputs": [
	{
	"output_type": "stream",
	"name": "stdout",
	"text": [
	"Collecting gradio==2.8.0a100\n",
	" Downloading gradio-2.8.0a100-py3-none-any.whl (1.0 MB)\n",
	"\u001b[K \|████████████████████████████████\| 1.0 MB 13.0 MB/s \n",
	"\u001b[?25hCollecting markdown-it-py[linkify,plugins]\n",
	" Downloading markdown_it_py-2.0.1-py3-none-any.whl (84 kB)\n",
	"\u001b[K \|████████████████████████████████\| 84 kB 2.4 MB/s \n",
	"\u001b[?25hCollecting aiohttp\n",
	" Downloading aiohttp-3.8.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.1 MB)\n",
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	"\u001b[?25hRequirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from gradio==2.8.0a100) (1.21.5)\n",
	"Collecting paramiko\n",
	" Downloading paramiko-2.9.2-py2.py3-none-any.whl (210 kB)\n",
	"\u001b[K \|████████████████████████████████\| 210 kB 60.9 MB/s \n",
	"\u001b[?25hRequirement already satisfied: pillow in /usr/local/lib/python3.7/dist-packages (from gradio==2.8.0a100) (7.1.2)\n",
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	"Collecting python-multipart\n",
	" Downloading python-multipart-0.0.5.tar.gz (32 kB)\n",
	"Collecting uvicorn\n",
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	"\u001b[?25hCollecting ffmpy\n",
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	"\u001b[?25hCollecting analytics-python\n",
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	"\u001b[?25hCollecting aiosignal>=1.1.2\n",
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	" Downloading yarl-1.7.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (271 kB)\n",
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	"\u001b[?25hCollecting multidict<7.0,>=4.5\n",
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	"\u001b[?25hCollecting pydantic!=1.7,!=1.7.1,!=1.7.2,!=1.7.3,!=1.8,!=1.8.1,<2.0.0,>=1.6.2\n",
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	"\u001b[?25hCollecting anyio<4,>=3.0.0\n",
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	"\u001b[?25hCollecting sniffio>=1.1\n",
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	"\u001b[?25hCollecting uc-micro-py\n",
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	"Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib->gradio==2.8.0a100) (0.11.0)\n",
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	"\u001b[?25hCollecting pynacl>=1.0.1\n",
	" Downloading PyNaCl-1.5.0-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl (856 kB)\n",
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	"Requirement already satisfied: click>=7.0 in /usr/local/lib/python3.7/dist-packages (from uvicorn->gradio==2.8.0a100) (7.1.2)\n",
	"Building wheels for collected packages: ffmpy, python-multipart\n",
	" Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
	" Created wheel for ffmpy: filename=ffmpy-0.3.0-py3-none-any.whl size=4712 sha256=fbecaf5e17233322984026ba0bcbbb4f95b02ac8410d2fab4affcb12006c0b31\n",
	" Stored in directory: /root/.cache/pip/wheels/13/e4/6c/e8059816e86796a597c6e6b0d4c880630f51a1fcfa0befd5e6\n",
	" Building wheel for python-multipart (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
	" Created wheel for python-multipart: filename=python_multipart-0.0.5-py3-none-any.whl size=31678 sha256=3701c08b4cc56ce656d6cb24ed2b0aae4a9f28450b1f8c1189d7369550a1672c\n",
	" Stored in directory: /root/.cache/pip/wheels/2c/41/7c/bfd1c180534ffdcc0972f78c5758f89881602175d48a8bcd2c\n",
	"Successfully built ffmpy python-multipart\n",
	"Installing collected packages: sniffio, mdurl, uc-micro-py, multidict, markdown-it-py, frozenlist, anyio, yarl, starlette, pynacl, pydantic, monotonic, mdit-py-plugins, linkify-it-py, h11, cryptography, bcrypt, backoff, asynctest, async-timeout, asgiref, aiosignal, uvicorn, python-multipart, pydub, pycryptodome, paramiko, ffmpy, fastapi, analytics-python, aiohttp, gradio\n",
	"Successfully installed aiohttp-3.8.1 aiosignal-1.2.0 analytics-python-1.4.0 anyio-3.5.0 asgiref-3.5.0 async-timeout-4.0.2 asynctest-0.13.0 backoff-1.10.0 bcrypt-3.2.0 cryptography-36.0.1 fastapi-0.74.1 ffmpy-0.3.0 frozenlist-1.3.0 gradio-2.8.0a100 h11-0.13.0 linkify-it-py-1.0.3 markdown-it-py-2.0.1 mdit-py-plugins-0.3.0 mdurl-0.1.0 monotonic-1.6 multidict-6.0.2 paramiko-2.9.2 pycryptodome-3.14.1 pydantic-1.9.0 pydub-0.25.1 pynacl-1.5.0 python-multipart-0.0.5 sniffio-1.2.0 starlette-0.17.1 uc-micro-py-1.0.1 uvicorn-0.17.5 yarl-1.7.2\n"
	]
	}
	]
	},
	{
	"cell_type": "code",
	"execution_count": null,
	"metadata": {
	"colab": {
	"base_uri": "https://localhost:8080/",
	"height": 375
	},
	"id": "CDM3M5equLpC",
	"outputId": "879d558b-1070-4f8b-c073-283ba75deca1"
	},
	"outputs": [
	{
	"output_type": "stream",
	"name": "stdout",
	"text": [
	"Colab notebook detected. To show errors in colab notebook, set `debug=True` in `launch()`\n"
	]
	},
	{
	"output_type": "error",
	"ename": "AttributeError",
	"evalue": "ignored",
	"traceback": [
	"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
	"\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)",
	"\u001b[0;32m<ipython-input-2-ca5cdb9cb25a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 29\u001b[0m \u001b[0mct_run\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclick\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mct_model\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minputs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdisease\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mct_scan\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moutputs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mct_results\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 30\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 31\u001b[0;31m \u001b[0mblock\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlaunch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
	"\u001b[0;32m/usr/local/lib/python3.7/dist-packages/gradio/launchable.py\u001b[0m in \u001b[0;36mlaunch\u001b[0;34m(self, inline, inbrowser, share, debug, auth, auth_message, private_endpoint, prevent_thread_lock, show_error, server_name, server_port, show_tips, enable_queue, height, width, encrypt, cache_examples, favicon_path, ssl_keyfile, ssl_certfile)\u001b[0m\n\u001b[1;32m 126\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 127\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstrings\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0men\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"RUNNING_LOCALLY\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath_to_local_server\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 128\u001b[0;31m \u001b[0;32mif\u001b[0m \u001b[0mis_colab\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrequires_permissions\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 129\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstrings\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0men\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"MEDIA_PERMISSIONS_IN_COLAB\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 130\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
	"\u001b[0;31mAttributeError\u001b[0m: 'Blocks' object has no attribute 'requires_permissions'"
	]
	}
	],
	"source": [
	"import gradio as gr\n",
	"import random\n",
	"\n",
	"def xray_model(diseases, img): \n",
	" return {disease: random.random() for disease in diseases}\n",
	"\n",
	"def ct_model(diseases, desc):\n",
	" return {disease: 0.5 for disease in diseases}\n",
	"\n",
	"block = gr.Blocks()\n",
	"\n",
	"with block:\n",
	" gr.Markdown(\"Choose the disease(s) to predict:\")\n",
	" disease = gr.inputs.CheckboxGroup([\"Covid\", \"Malaria\", \"Lung Cancer\"],\n",
	" label=\"Disease to Scan For\")\n",
	"\n",
	" with gr.Tab(\"X-ray Image\"):\n",
	" with gr.Row():\n",
	" xray_scan = gr.inputs.Image()\n",
	" xray_results = gr.outputs.JSON()\n",
	" xray_run = gr.Button(\"Run\")\n",
	" xray_run.click(xray_model, inputs=[disease, xray_scan], outputs=xray_results)\n",
	"\n",
	" with gr.Tab(\"Clinical Notes\"):\n",
	" with gr.Row():\n",
	" ct_scan = gr.inputs.Textbox(placeholder=\"The patient has reported findings\", lines=7)\n",
	" ct_results = gr.outputs.JSON()\n",
	" ct_run = gr.Button(\"Run\")\n",
	" ct_run.click(ct_model, inputs=[disease, ct_scan], outputs=ct_results)\n",
	"\n",
	"block.launch()"
	]
	},
	{
	"cell_type": "code",
	"source": [
	""
	],
	"metadata": {
	"id": "MB8erB2huVyi"
	},
	"execution_count": null,
	"outputs": []
	}
	]
	}