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   "source": [
    "# 10 - Creating APIs in AWS\n",
    "\n",
    "by [Alejandro Correa Bahnsen](albahnsen.com/) and [Jesus Solano](https://github.com/jesugome)\n",
    "\n",
    "version 1.4, February 2019\n",
    "\n",
    "## Part of the class [Practical Machine Learning](https://github.com/albahnsen/PracticalMachineLearningClass)\n",
    "\n",
    "\n",
    "\n",
    "This notebook is licensed under a [Creative Commons Attribution-ShareAlike 3.0 Unported License](http://creativecommons.org/licenses/by-sa/3.0/deed.en_US). \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# AWS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Create an account\n",
    "https://portal.aws.amazon.com/billing/signup\n",
    "\n",
    "![](https://raw.githubusercontent.com/albahnsen/PracticalMachineLearningClass/master/notebooks/images/img001.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## It is going to take you time to register ..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Log in into the AWS Management Console\n",
    "\n",
    "![](https://raw.githubusercontent.com/albahnsen/PracticalMachineLearningClass/master/notebooks/images/img002.GIF)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Wait until the account is activated\n",
    "\n",
    "![](https://raw.githubusercontent.com/albahnsen/PracticalMachineLearningClass/master/notebooks/images/img003.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Creating a EC2 instance\n",
    "\n",
    "![](https://raw.githubusercontent.com/albahnsen/PracticalMachineLearningClass/master/notebooks/images/img004.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "![](https://raw.githubusercontent.com/albahnsen/PracticalMachineLearningClass/master/notebooks/images/img005.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Configure Security group\n",
    "![](https://raw.githubusercontent.com/albahnsen/PracticalMachineLearningClass/master/notebooks/images/img006.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Add TCP port 5000 (used by flask)\n",
    "![](https://raw.githubusercontent.com/albahnsen/PracticalMachineLearningClass/master/notebooks/images/img007.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Launch\n",
    "![](https://raw.githubusercontent.com/albahnsen/PracticalMachineLearningClass/master/notebooks/images/img008.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Instance Security\n",
    "![](https://raw.githubusercontent.com/albahnsen/PracticalMachineLearningClass/master/notebooks/images/img009.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Done\n",
    "![](https://raw.githubusercontent.com/albahnsen/PracticalMachineLearningClass/master/notebooks/images/img010.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Conecting to the AWS Instance\n",
    "\n",
    "Follow the tutorial on https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstances.html\n",
    "\n",
    "![](https://raw.githubusercontent.com/albahnsen/PracticalMachineLearningClass/master/notebooks/images/img011.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Test connection\n",
    "\n",
    "![](https://raw.githubusercontent.com/albahnsen/PracticalMachineLearningClass/master/notebooks/images/img012.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Deploy Flask API"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Install anaconda\n",
    "\n",
    "`wget https://repo.anaconda.com/archive/Anaconda3-2018.12-Linux-x86_64.sh`\n",
    "\n",
    "`bash Anaconda3-2018.12-Linux-x86_64.sh`\n",
    "\n",
    "Test the instalation\n",
    "\n",
    "![](https://raw.githubusercontent.com/albahnsen/PracticalMachineLearningClass/master/notebooks/images/img013.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### If not Anaconda do:\n",
    "\n",
    "`export PATH=\"/home/ubuntu/anaconda3/bin:$PATH\"`\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Copy files\n",
    "\n",
    "`git clone https://github.com/albahnsen/PracticalMachineLearningClass.git`\n",
    "\n",
    "#### Go to the model_deployment folder\n",
    "\n",
    "![](https://raw.githubusercontent.com/albahnsen/PracticalMachineLearningClass/master/notebooks/images/img014.PNG)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Install the additional libraries\n",
    "\n",
    "`pip install flask-restplus`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Deploy the Flask API\n",
    "\n",
    "`nohup python api.py &`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Check the Flask API\n",
    "\n",
    "Go to -ec2-machine-ip-:5000\n",
    "\n",
    "In my example http://54.175.140.184:5000/\n",
    "\n",
    "![](https://raw.githubusercontent.com/albahnsen/PracticalMachineLearningClass/master/notebooks/images/img015.PNG)",
    "\n",
    "## Command to get process number and finish it\n",
    "**ps -ef |grep jupyter** \n",
    "Next use the command **kill -9 xxxx** \n",
    "xxxx is the process number \n"
    
    
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