Deploying a Sentiment Analysis Model as a Web App Using Flask and Containerizing it Using Docker :

Remark : This repo also contains the code for Training a Sentiment Analysis Model On The IMDB Movie Reviews Dataset.

Usage Guide:

File Descriptions:

• 'templates/index.html' :

  contains the HTML code for the web-app.

• 'templates/style.css' :

  contains the CSS code for the web-app.

• 'build_docker.sh' :

  contains the code to build a Docker image.

• 'Dockerfile' :

  contains the DockerFile.

• 'get_package_versions' :

  contains the code to get the versions of all the required packages.

• 'requirements.txt' :

  contains the exact package versions used for this project.

• 'imdb_reviews.h5' :

  is the trained Keras Model saved as a .h5 File.

• 'docker_run.sh' :

  contains the code to run the Docker Container.

• 'train_model.py' :

  contains the code for training the Keras model.

• 'web_app_predict.py' :

  contains the code for deploying the model as a Flask web app.

FOR DOCKER:

To containerize the app and run it using Docker, use :

bash build_docker.sh
bash run_docker.sh

and visit the following link on your web browser : http://192.168.99.100:5001/

FOR FLASK:

To deploy as a web app using Flask, use :

python web_app_predict.py

and visit the following link on your web browser : http://127.0.0.1:5001/

Results:

WebApp Sample Predictions:

Contact :

For any query/feedback, please contact:

Lakshay Mehra: [email protected]