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app.ipynb

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+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": 1,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 140
+        },
+        "id": "tF2nUGnWA9wQ",
+        "outputId": "7b7d0778-02fc-475d-e796-d9a52d773bcc"
+      },
+      "outputs": [
+        {
+          "output_type": "error",
+          "ename": "IndentationError",
+          "evalue": "ignored",
+          "traceback": [
+            "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-1-bfb3c3b35877>\"\u001b[0;36m, line \u001b[0;32m21\u001b[0m\n\u001b[0;31m    with st.form(\"questionaire\"):\u001b[0m\n\u001b[0m    ^\u001b[0m\n\u001b[0;31mIndentationError\u001b[0m\u001b[0;31m:\u001b[0m unexpected indent\n"
+          ]
+        }
+      ],
+      "source": [
+        "import joblib\n",
+        "import pandas as pd\n",
+        "import streamlit as st\n",
+        "smoking_status = {'formerly smoked': 1,\n",
+        "            'never smoked\t': 2,\n",
+        "            'smokes': 3,\n",
+        "            'Unknown': 4,\n",
+        "            }\n",
+        "\n",
+        "model = joblib.load('model.joblib')\n",
+        "unique_values = joblib.load('unique_values.joblib')\n",
+        "unique_gender = unique_values[\"gender\"]\n",
+        "unique_ever_married = unique_values[\"ever_married\"]\n",
+        "unique_work_type = unique_values[\"work_type\"]\n",
+        "unique_Residence_type = unique_values[\"Residence_type\"]\n",
+        "unique_smoking_status = unique_values[\"smoking_status\"]\n",
+        "\n",
+        "\n",
+        "def main():\n",
+        "  st.title(\"Adult Income Analysis\")\n",
+        "    with st.form(\"questionaire\"):\n",
+        "      age = st.slider(\"age\", min_value=0, max_value=100)\n",
+        "      gender = st.selectbox(\"gender\", unique_gender)\n",
+        "      hypertension = st.slider(\"hypertension\", min_value=0, max_value=1)\n",
+        "      heart_disease = st.slider(\"heart_disease\", min_value=0, max_value=1)\n",
+        "      ever_married = st.selectbox(\"ever_married\", unique_ever_married)\n",
+        "      work_type = st.selectbox(\"work_type\", unique_work_type)\n",
+        "      Residence_type = st.selectbox(\"Residence_type\", unique_Residence_type)\n",
+        "      avg_glucose_level = st.slider(\"avg_glucose_level\", min_value=0, max_value=300)\n",
+        "      bmi = st.slider(\"bmi\", min_value=0, max_value=100)\n",
+        "      smoking_status = st.selectbox(\"smoking_status\", unique_smoking_status)\n",
+        "\n",
+        "clicked = st.form_submit_button(\"Predict stroke\")\n",
+        "if clicked:\n",
+        "  result=model.predict(pd.DataFrame({\"age\": [age],\n",
+        "                                      \"gender\": [gender],\n",
+        "                                      \"hypertension\": [hypertension],\n",
+        "                                      \"heart_disease\": [heart_disease],\n",
+        "                                      \"ever_married\": [ever_married],\n",
+        "                                      \"work_type\": [work_type],\n",
+        "                                      \"Residence_type\": [Residence_type],\n",
+        "                                      \"avg_glucose_level\": [avg_glucose_level],\n",
+        "                                      \"bmi\": [bmi],\n",
+        "                                      \"smoking_status\":[smoking_status]}))\n",
+        "          result = '1' if result[0] == 1 else '0'\n",
+        "          st.success('The predicted stroke is {}'.format(result))\n",
+        "if __name__=='__main__':\n",
+        "  main()"
+      ]
+    }
+  ]
+}

model (1).joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6074ed90c8d54cda47c2f4649c85593f868ca8f25e25fcd3cf3f8b9e1af01ea4
+size 76513

requirements.txt

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+joblib
+pandas
+scikit-learn==1.2.2
+xgboost==1.7.6
+altair<5

unique_values (1).joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d50a7d378062a047249d0a3a123de19866e62dcf3d47aae7acbded938be46d45
+size 1425