kylechenoO/DisasterResponse

DisasterResponse Cats

DisasterResponse Project

• This is a project analyzing message data for disaster response.

Above All

• Before you start read this page, please check your system env first.
• This project developed in Ubuntu 18.04 LTS 64 bit with Python 3.6.6 (ATTENTION: NOT Anaconda Env.!).
• After develop this project, I also test the pipeline scripts in Windows 10 64bit with Python 3.7 64bit (ATTENTION: NOT Anaconda Env.!).
• Please don't use the Anaconda Env, and I suggest you to use Ubuntu or any other Linux to run it.

Project Infomation

• This project develop under Python 3.6.6. Let's have a look of the directory tree:

DisasterResponse/                   --> project directory
├── data                            --> dataset directory(only for notebook)
│   ├── categories.csv
│   └── messages.csv
├── ETL Pipeline Preparation.html   --> html export from notebook
├── ETL Pipeline Preparation.ipynb  --> ETL pipeline notebook
├── LICENSE                         --> license file
├── ML Pipeline Preparation.html    --> html export from notebook
├── ML Pipeline Preparation.ipynb   --> ML pipeline notebook
├── pipeline                        --> pipeline project directory
│   ├── app                         --> the flask app directory
│   │   ├── run.py                  --> flask main run file
│   │   └── templates               --> flask templates directory
│   │       ├── go.html
│   │       └── master.html
│   ├── data                        --> dataset directory for pipline
│   │   ├── disaster_categories.csv
│   │   ├── disaster_messages.csv
│   │   └── process_data.py         --> process_data for ETL pipeline
│   ├── models                      --> models directory
│   │   └── train_classifier.py     --> train_classifier for ML pipeline
│   └── README.md                   --> pipeline README file
└── README.md                       --> main README file

• The requirement pkgs:

nltk                    3.3
pickleshare             0.7.4
pandas                  0.23.2
numpy                   1.14.5
SQLAlchemy              1.2.12
sklearn                 0.0
scipy                   1.1.0

Run this Project

1. cd to the pipeline directory
2. python3 data/process_data.py data/disaster_messages.csv data/disaster_categories.csv data/DisasterResponse.db
3. python3 models/train_classifier.py data/DisasterResponse.db models/classifier.pkl
4. cd to the pipeline/app directory
5. python3 run.py
6. go to http://0.0.0.0:3001/

Something Else

• If you have any trouble when you use the pipeline, at first you need to read the README.md in pipeline/ directory.
• Maybe you can Email me: kyle@hacking-linux.com