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Emmanuel Acheampong

Welcome to the “Deploy Bridgerton NLP SMS Text Generator” guided project.

In this project, we will deploy an NLP text generator model that sends text messages of generated words to a phone number via SMS through a python Streamlit app. The model has been trained on quotes from Netflix's popular tv show "Bridgerton".

This project is an intermediate python project for anyone interested in learning about how to productionize natural language text generator models as a Streamlit app on Heroku and leveraging python modules to send SMS texts.

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Welcome to the “Deploy Bridgerton NLP SMS Text Generator” guided project.

In this project, we will deploy an NLP text generator model that sends text messages of generated words to a phone number via SMS through a python Streamlit app. The model has been trained on quotes from Netflix's popular tv show "Bridgerton".

This project is an intermediate python project for anyone interested in learning about how to productionize natural language text generator models as a Streamlit app on Heroku and leveraging python modules to send SMS texts.

It requires preliminary knowledge on how to build and train NLP text generator models (as we will not be building or training models), how to utilize Git, and how to leverage multiple Python modules like the email and smtp modules. Learners would also need a Heroku account and some familiarity with the Python Streamlit module.

At the end of this project, learners will have a publicly available Streamlit web app that leverages natural language processing text generation to send generated Bridgerton quotes via SMS to a phone number.

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What's inside

Syllabus

Project Overview
This project is an intermediate python project for anyone interested in learning about how to productionize natural language text generator models as a Streamlit app on Heroku and leveraging python modules to send SMS texts. In this project, learners will: 1. Leverage a text generator model trained on the quotes from the Netflix popular show Bridgerton. 2. Build a web application with a UI to interact with text generator model. 3. Deploy the web application to Heroku At the end of this project, learners will have a publicly available Streamlit web app that leverages natural language processing text generation to send generated Bridgerton quotes via SMS to a phone number.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops a text generation model and a web application for sending SMS messages, which are valuable skills in natural language processing
Employs Python modules and Git, exposing learners to industry-standard tools
Teaches how to deploy a Streamlit app on Heroku, a valuable skill for deploying machine learning models
Utilizes quotes from the popular Netflix show "Bridgerton," which may appeal to fans of the show
Requires knowledge of NLP text generator models, Git, and Python modules like email and smtp, which may be challenging for beginners
Focuses on a specific application (SMS text generation) rather than providing a comprehensive foundation in NLP

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Deploy Bridgerton NLP SMS Text Generator with these activities:
Review Streamlit for Web Development
Review the basics of using Streamlit to build web apps for natural language processing.
Browse courses on Streamlit
Show steps
  • Install Streamlit and its dependencies.
  • Create a new Streamlit app.
  • Add a basic user interface to the app.
  • Deploy the app to a cloud platform.
Read about NLP text generation
Learn more about the theory and practice of NLP text generation.
Show steps
  • Read the first three chapters of the book.
  • Complete the exercises in the first three chapters.
  • Create a presentation on the main concepts of NLP text generation.
Follow a tutorial on deploying a Streamlit app
Learn how to deploy a Streamlit text generator on Heroku for production use.
Browse courses on Streamlit
Show steps
  • Find a tutorial on deploying a Streamlit app on Heroku.
  • Follow the steps in the tutorial.
  • Deploy your own Streamlit app to Heroku.
Four other activities
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Answer questions about the course on a discussion forum
Help fellow learners by answering their questions and providing guidance.
Browse courses on NLP
Show steps
  • Join the discussion forum for the course.
  • Monitor the forum for questions.
  • Answer questions to the best of your ability.
  • Be patient and respectful of other learners.
Build a custom NLP text generator using Python
Apply what you have learned to build a custom text generator that meets specific requirements.
Browse courses on NLP
Show steps
  • Gather data for training your text generator.
  • Preprocess the data for training.
  • Choose and train a machine learning model for text generation.
  • Evaluate the performance of your text generator.
  • Deploy your text generator to a cloud platform.
Develop a Streamlit app that uses the NLP text generator to send Bridgerton quotes via SMS
Combine what you learned about text generation and Streamlit to build a practical application.
Browse courses on NLP
Show steps
  • Design the UI of your Streamlit app.
  • Connect the text generator to your app.
  • Implement the SMS functionality in your app.
  • Deploy your app to a cloud platform.
Write a blog post about your experience with the course
Reflect on what you learned and share your insights with others.
Browse courses on NLP
Show steps
  • Identify the key takeaways from the course.
  • Structure your blog post with a clear introduction, body, and conclusion.
  • Write the content of your blog post.
  • Publish your blog post on a platform like Medium or your own website.

Career center

Learners who complete Deploy Bridgerton NLP SMS Text Generator will develop knowledge and skills that may be useful to these careers:
Natural Language Processing Engineer
As a Natural Language Processing Engineer, you may use your knowledge of natural language processing, machine learning, and software development to build powerful NLP-based solutions. This course can help you to develop the skills necessary to work with natural language data, and to build text generators like the one used in this course.
Data Scientist
In your role as a Data Scientist, you can leverage your understanding of natural language processing, probability, statistics, and machine learning to develop powerful data-driven solutions. This course can help you to develop the skills necessary to work with natural language data, and to build text generators like the one used in this course.
Machine Learning Engineer
As a Machine Learning Engineer, you can leverage your understanding of natural language processing, machine learning, and software development to build powerful ML-based solutions. This course can help you to develop the skills necessary to work with natural language data, and to build text generators like the one used in this course.
NLP Developer
As an NLP Developer, you can leverage your understanding of natural language processing, software development, and machine learning to build powerful NLP-based solutions. This course can help you to develop the skills necessary to work with natural language data, and to build text generators like the one used in this course.
Software Engineer
As a Software Engineer with a focus on natural language processing, you can leverage your understanding of natural language processing, software development, and machine learning to build powerful NLP-based solutions. This course can help you to develop the skills necessary to work with natural language data, and to build text generators like the one used in this course.
Linguist
As a Linguist with a focus on natural language processing, you can leverage your understanding of natural language processing, linguistics, and machine learning to build powerful NLP-based solutions. This course can help you to develop the skills necessary to work with natural language data, and to build text generators like the one used in this course.
Technical Writer
As a Technical Writer with a focus on natural language processing, you can leverage your understanding of natural language processing, technical writing, and machine learning to build powerful NLP-based solutions. This course can help you to develop the skills necessary to work with natural language data, and to build text generators like the one used in this course.
Content Creator
As a Content Creator with a focus on natural language processing, you can leverage your understanding of natural language processing, content creation, and machine learning to build powerful NLP-based solutions. This course can help you to develop the skills necessary to work with natural language data, and to build text generators like the one used in this course.
Digital Marketing Specialist
As a Digital Marketing Specialist with a focus on natural language processing, you can leverage your understanding of natural language processing, digital marketing, and machine learning to build powerful NLP-based solutions. This course can help you to develop the skills necessary to work with natural language data, and to build text generators like the one used in this course.
User Experience Designer
As a User Experience Designer with a focus on natural language processing, you can leverage your understanding of natural language processing, user experience design, and machine learning to build powerful NLP-based solutions. This course can help you to develop the skills necessary to work with natural language data, and to build text generators like the one used in this course.
Product Manager
As a Product Manager with a focus on natural language processing, you can leverage your understanding of natural language processing, product management, and machine learning to build powerful NLP-based solutions. This course may help you learn how to leverage text generators like the one created in this course in your role.
Business Analyst
As a Business Analyst with a focus on natural language processing, you can leverage your understanding of natural language processing, business analysis, and machine learning to build powerful NLP-based solutions. This course may help you learn how to leverage text generators like the one created in this course in your role.
Project Manager
As a Project Manager with a focus on natural language processing, you can leverage your understanding of natural language processing, project management, and machine learning to build powerful NLP-based solutions. This course may help you learn how to leverage text generators like the one created in this course in your role.
Consultant
As a Consultant with a focus on natural language processing, you can leverage your understanding of natural language processing, consulting, and machine learning to build powerful NLP-based solutions. This course may help you learn how to leverage text generators like the one created in this course in your role.
Customer Success Manager
As a Customer Success Manager with a focus on natural language processing, you can leverage your understanding of natural language processing, customer success management, and machine learning to build powerful NLP-based solutions. This course may help you learn how to leverage text generators like the one created in this course in your role.

Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Deploy Bridgerton NLP SMS Text Generator.
Provides a comprehensive overview of natural language processing (NLP) techniques and algorithms, and it is considered a valuable resource for both beginners and experienced NLP practitioners. It covers a wide range of topics, including text preprocessing, tokenization, stemming, lemmatization, POS tagging, named entity recognition, and sentiment analysis.
Provides a comprehensive overview of NLP techniques and algorithms, and it is suitable for both beginners and experienced NLP practitioners. It covers a wide range of topics, including text preprocessing, tokenization, stemming, lemmatization, POS tagging, named entity recognition, and sentiment analysis.
Provides a comprehensive overview of deep learning techniques for NLP, and it is suitable for both beginners and experienced NLP practitioners. It covers a wide range of topics, including word embeddings, recurrent neural networks, convolutional neural networks, and transformers.
Companion to the Bridgerton series, and it provides additional information about the characters, the setting, and the historical context of the books. It valuable resource for fans of the Bridgerton series who want to learn more about the world of the books.
Is the first novel in the Bridgerton series, and it tells the story of Daphne Bridgerton and Simon Basset, the Duke of Hastings. It classic Regency romance novel, and it great introduction to the world of Bridgerton.
Is the third novel in the Bridgerton series, and it tells the story of Benedict Bridgerton and Sophie Beckett. It classic Regency romance novel, and it great read for fans of the Bridgerton series.
Is the fourth novel in the Bridgerton series, and it tells the story of Colin Bridgerton and Penelope Featherington. It classic Regency romance novel, and it great read for fans of the Bridgerton series.
Is the fifth novel in the Bridgerton series, and it tells the story of Eloise Bridgerton and Sir Phillip Crane. It classic Regency romance novel, and it great read for fans of the Bridgerton series.
Is the sixth novel in the Bridgerton series, and it tells the story of Francesca Bridgerton and Michael Stirling. It classic Regency romance novel, and it great read for fans of the Bridgerton series.
Is the seventh novel in the Bridgerton series, and it tells the story of Hyacinth Bridgerton and Gareth St. Clair. It classic Regency romance novel, and it great read for fans of the Bridgerton series.
Is the eighth novel in the Bridgerton series, and it tells the story of Gregory Bridgerton and Hermione Watson. It classic Regency romance novel, and it great read for fans of the Bridgerton series.
Collection of epilogues for each of the eight Bridgerton novels. It provides a glimpse into the lives of the Bridgerton family after the events of the novels.

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