This project will include a web app where an emergency worker can input a new message and get classification results in several categories. The web app will also display visualizations of the data.
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Run the following commands in the project's root directory to set up your database and model.
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To run ETL pipeline that cleans data and stores in database
python data/process_data.py data disaster_messages.csv data/disaster_categories.csv data/DisasterResponse.db
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To run ML pipeline that trains classifier and saves
python models/train_classifier.py data/DisasterResponse.db models/classifier.pkl
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Go to
app
directory:cd app
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Run your web app:
python run.py
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Click the
PREVIEW
button to open the homepage
- app
| - template
| |- master.html # main page of web app
| |- go.html # classification result page of web app
|- run.py # Flask file that runs app
- data
|- disaster_categories.csv # data to process
|- disaster_messages.csv # data to process
|- process_data.py
|- InsertDatabaseName.db # database to save clean data to
- models
|- train_classifier.py
|- classifier.pkl # saved model
- README.md
If you have any feedback or ideas to improve this project, feel free to contact me via my email at nduongthucanh@gmail.com or:
© 2024 Leah Nguyen