DReye(Ngrok).ipynb

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  "metadata": {
    "colab": {
      "name": "DReye.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
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  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KPJqp9OnAAlB",
        "outputId": "41182c86-bf47-456c-da07-1dffe2b558b1"
      },
      "source": [
        "cd drive/MyDrive/"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/drive/MyDrive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
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      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vxMvq93hNFC0",
        "outputId": "87b28c86-7c16-4d4d-d0af-ccf3200ad839"
      },
      "source": [
        "pip install pyrebase4"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting pyrebase4\n",
            "  Downloading https://files.pythonhosted.org/packages/a1/5d/18363a9aac6955e9a9e28ad0c7fb69cc36693e58572b997073549114b744/Pyrebase4-4.4.3-py3-none-any.whl\n",
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            "Collecting requests-toolbelt>=0.7.1\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/60/ef/7681134338fc097acef8d9b2f8abe0458e4d87559c689a8c306d0957ece5/requests_toolbelt-0.9.1-py2.py3-none-any.whl (54kB)\n",
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            "\u001b[?25hCollecting pycryptodome>=3.6.4\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/ad/16/9627ab0493894a11c68e46000dbcc82f578c8ff06bc2980dcd016aea9bd3/pycryptodome-3.10.1-cp35-abi3-manylinux2010_x86_64.whl (1.9MB)\n",
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            "\u001b[?25hCollecting gcloud>=0.18.3\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/11/ab/d0cee58db2d8445c26e6f5db25d9b1f1aa14a3ab30eea8ce77ae808d10ef/gcloud-0.18.3.tar.gz (454kB)\n",
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            "Collecting jwcrypto>=0.8\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/cc/a8/2ab318a407025203579bb4f45ec4ab80bff2c5a69c41ab39558bdf3c985d/jwcrypto-0.8-py2.py3-none-any.whl (79kB)\n",
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            "Collecting cryptography>=2.3\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/b2/26/7af637e6a7e87258b963f1731c5982fb31cd507f0d90d91836e446955d02/cryptography-3.4.7-cp36-abi3-manylinux2014_x86_64.whl (3.2MB)\n",
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            "Requirement already satisfied: cffi>=1.12 in /usr/local/lib/python3.7/dist-packages (from cryptography>=2.3->jwcrypto>=0.8->python-jwt>=2.0.1->pyrebase4) (1.14.5)\n",
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            "Building wheels for collected packages: gcloud\n",
            "  Building wheel for gcloud (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for gcloud: filename=gcloud-0.18.3-cp37-none-any.whl size=602938 sha256=d384c4d4f4c293e4e1c8136d2c97f5feb68a86376711dfff12db557894281a1e\n",
            "  Stored in directory: /root/.cache/pip/wheels/b9/9b/9c/a01be401658fea33b93a35d03921b0c638266821b264dc8662\n",
            "Successfully built gcloud\n",
            "Installing collected packages: cryptography, jwcrypto, python-jwt, requests-toolbelt, pycryptodome, gcloud, pyrebase4\n",
            "Successfully installed cryptography-3.4.7 gcloud-0.18.3 jwcrypto-0.8 pycryptodome-3.10.1 pyrebase4-4.4.3 python-jwt-3.3.0 requests-toolbelt-0.9.1\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "tML3XdmVAj1W",
        "outputId": "7b54ed38-fc82-49ec-8394-21f33792e3fb"
      },
      "source": [
        "pip install streamlit"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting streamlit\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/b7/98/4725661dc5719c05ba7e3f9744407ce91e2d982cb6c9601de2bbb62e2dd0/streamlit-0.81.0-py2.py3-none-any.whl (8.2MB)\n",
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            "Collecting validators\n",
            "  Downloading https://files.pythonhosted.org/packages/db/2f/7fed3ee94ad665ad2c1de87f858f10a7785251ff75b4fd47987888d07ef1/validators-0.18.2-py3-none-any.whl\n",
            "Collecting base58\n",
            "  Downloading https://files.pythonhosted.org/packages/b8/a1/d9f565e9910c09fd325dc638765e8843a19fa696275c16cc08cf3b0a3c25/base58-2.1.0-py3-none-any.whl\n",
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            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/d2/b2/b4ebe23174fd00ec94ac3f58ebf85f1090c49858feab1ca62ed7ea4d2f2f/watchdog-2.0.3-py3-none-manylinux2014_x86_64.whl (74kB)\n",
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            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/1b/51/e2a9f3b757eb802f61dc1f2b09c8c99f6eb01cf06416c0671253536517b6/blinker-1.4.tar.gz (111kB)\n",
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            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/3a/7d/9f8ac1b1b76f2f1538b5650f0b5636bae082724b1e06939a3a9d38e1380e/ipykernel-5.5.3-py3-none-any.whl (120kB)\n",
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            "Building wheels for collected packages: blinker\n",
            "  Building wheel for blinker (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for blinker: filename=blinker-1.4-cp37-none-any.whl size=13448 sha256=a75866cc6a14f93712c4ccb6024bb81ddf9884e5cc5ea6be177fe927491858d8\n",
            "  Stored in directory: /root/.cache/pip/wheels/92/a0/00/8690a57883956a301d91cf4ec999cc0b258b01e3f548f86e89\n",
            "Successfully built blinker\n",
            "\u001b[31mERROR: google-colab 1.0.0 has requirement ipykernel~=4.10, but you'll have ipykernel 5.5.3 which is incompatible.\u001b[0m\n",
            "Installing collected packages: validators, base58, watchdog, blinker, ipykernel, pydeck, smmap, gitdb, gitpython, streamlit\n",
            "  Found existing installation: ipykernel 4.10.1\n",
            "    Uninstalling ipykernel-4.10.1:\n",
            "      Successfully uninstalled ipykernel-4.10.1\n",
            "Successfully installed base58-2.1.0 blinker-1.4 gitdb-4.0.7 gitpython-3.1.14 ipykernel-5.5.3 pydeck-0.6.2 smmap-4.0.0 streamlit-0.81.0 validators-0.18.2 watchdog-2.0.3\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "ipykernel"
                ]
              }
            }
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "p5V-8IiNAxQ4",
        "outputId": "aa41215d-8bc8-491c-d714-8aa9fb9c47fd"
      },
      "source": [
        "%%writefile app.py\n",
        "import streamlit as st\n",
        "import tensorflow as tf\n",
        "from random import randint\n",
        "import pyrebase\n",
        "\n",
        "\n",
        "firebaseConfig = {\n",
        "    'apiKey': \"AIzaSyDubGncgvqCMzWktTMOChPntjfgMITmTcc\",\n",
        "    'authDomain': \"visara-5a513.firebaseapp.com\",\n",
        "    'projectId': \"visara-5a513\",\n",
        "    'storageBucket': \"visara-5a513.appspot.com\",\n",
        "    'messagingSenderId': \"582687989459\",\n",
        "    'appId': \"1:582687989459:web:7e005b599c09faa8a93e26\",\n",
        "    'measurementId': \"G-0NY6VG8PBT\",\n",
        "    \"databaseURL\" : \"https://visara-5a513-default-rtdb.asia-southeast1.firebasedatabase.app/\"\n",
        "    }\n",
        "firebase=pyrebase.initialize_app(firebaseConfig)\n",
        "auth=firebase.auth()\n",
        "db=firebase.database()\n",
        "st.title(\"Visara\")\n",
        "  \n",
        "html_temp = \"\"\"\n",
        "    <div style=\"background:linear-gradient(to bottom, #66ccff 0%, #ff99cc 100%);padding:10px\">\n",
        "    <h1 style=\"color:white;text-align:center;\"><em>EyeDR</em> </h1>\n",
        "    </div>\n",
        "    <br></br>\n",
        "    \"\"\"\n",
        "st.markdown(html_temp,unsafe_allow_html=True)\n",
        "\n",
        "st.set_option('deprecation.showfileUploaderEncoding',False)\n",
        "@st.cache(allow_output_mutation=True)\n",
        "def load_model():\n",
        "  model=tf.keras.models.load_model('dr_weights.h5')\n",
        "  return model\n",
        "model=load_model()\n",
        "st.write('''\n",
        "Eye Classification\n",
        "''')\n",
        "name=st.text_input(\"Enter Name\")  \n",
        "file=st.file_uploader(\"Please Upload an image\",type=[\"jpg\",\"png\",\"jpeg\"])\n",
        "\n",
        "\n",
        "\n",
        "from PIL import Image,ImageOps\n",
        "import numpy as np\n",
        "def import_and_predict(image_data,model):\n",
        "\n",
        "  size=(224,224)\n",
        "  image=ImageOps.fit(image_data,size,Image.ANTIALIAS)\n",
        "  img=np.asarray(image)\n",
        "  img_reshape=img[np.newaxis,...]\n",
        "  prediction=model.predict(img_reshape)\n",
        "  return prediction\n",
        "if file is None:\n",
        "  st.text(\"Please upload an image\")\n",
        "else:\n",
        "  image=Image.open(file)\n",
        "  st.image(image,use_column_width=True)\n",
        "  prediction=import_and_predict(image,model)\n",
        "  # print(prediction)\n",
        "  n=0\n",
        "  class_names=[\"NO DR\",\"Mild Dr\",\"Moderate Dr\",\"Sever Dr\",\"pro dr\"]\n",
        "  string=class_names[np.argmax(prediction)]\n",
        "\n",
        "\n",
        "  \n",
        "  db.child(\"Patient\").child(name).update({\"dr\":string})\n",
        "  st.success(string)\n",
        "\n"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Overwriting app.py\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MHOpAdEsA-7t",
        "outputId": "c61463cf-2f84-4ab3-c02c-4f2ba7c22358"
      },
      "source": [
        "! pip install pyngrok"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting pyngrok\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/6b/4e/a2fe095bbe17cf26424c4abcd22a0490e22d01cc628f25af5e220ddbf6f0/pyngrok-5.0.5.tar.gz (745kB)\n",
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            "\u001b[?25hRequirement already satisfied: PyYAML in /usr/local/lib/python3.7/dist-packages (from pyngrok) (3.13)\n",
            "Building wheels for collected packages: pyngrok\n",
            "  Building wheel for pyngrok (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for pyngrok: filename=pyngrok-5.0.5-cp37-none-any.whl size=19246 sha256=a7fba8dc6cb4eeffa4242dd1e967ef3fcc38a49f50f0903be61025b9d92c96db\n",
            "  Stored in directory: /root/.cache/pip/wheels/0c/13/64/5ebbcc22eaf53fdf5766b397c1fb17c83f5775fdccf0ea1b88\n",
            "Successfully built pyngrok\n",
            "Installing collected packages: pyngrok\n",
            "Successfully installed pyngrok-5.0.5\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pPLd8oOIBDPg",
        "outputId": "07bc0baf-78c0-48dc-e1ad-ad1f2ee9b24c"
      },
      "source": [
        "!ngrok authtoken 1rw4HzibrkOpsxieEi95P8eO7Ft_5of1JYGJg9iyCvgcERLLR"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Authtoken saved to configuration file: /root/.ngrok2/ngrok.yml\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cde00996BKrk",
        "outputId": "9563166f-27c6-4fc0-9097-b7374be0f303"
      },
      "source": [
        "!nohup streamlit run app.py &"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "nohup: appending output to 'nohup.out'\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VnaAuziPBO0t",
        "outputId": "7b9dfc54-12d8-4890-e567-2aa87d001716"
      },
      "source": [
        "from pyngrok import ngrok\n",
        "url = ngrok.connect(8501)\n",
        "url"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<NgrokTunnel: \"http://be8cba041ec7.ngrok.io\" -> \"http://localhost:8501\">"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EIZzb50iBRcp",
        "outputId": "c49287af-73e1-4595-dcb8-cb32ac0a3783"
      },
      "source": [
        "!streamlit run --server.port 80 app.py >/dev/null"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2021-05-01 18:35:19.629 An update to the [server] config option section was detected. To have these changes be reflected, please restart streamlit.\n",
            "2021-05-01 18:35:20.028659: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0\n",
            "2021-05-01 18:35:22.601050: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set\n",
            "2021-05-01 18:35:22.602098: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1\n",
            "2021-05-01 18:35:22.614504: E tensorflow/stream_executor/cuda/cuda_driver.cc:328] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected\n",
            "2021-05-01 18:35:22.614562: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (adbb82bb0ef3): /proc/driver/nvidia/version does not exist\n",
            "2021-05-01 18:35:22.615596: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8qmujrpdBT5K"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}