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Deploy Bridgerton NLP SMS Text Generator

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".

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

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Review the basics of using Streamlit to build web apps for natural language processing.

Browse courses on Streamlit

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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

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Learn more about the theory and practice of NLP text generation.

View Natural Language Processing with Python:... on Amazon

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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

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Learn how to deploy a Streamlit text generator on Heroku for production use.

Browse courses on Streamlit

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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

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Help fellow learners by answering their questions and providing guidance.

Browse courses on NLP

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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

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Apply what you have learned to build a custom text generator that meets specific requirements.

Browse courses on NLP

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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

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Combine what you learned about text generation and Streamlit to build a practical application.

Browse courses on NLP

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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

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Reflect on what you learned and share your insights with others.

Browse courses on NLP

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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.

See salaries and explore the career path for Natural Language Processing Engineer

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for NLP Developer

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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for Linguist

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.

See salaries and explore the career path for Technical Writer

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.

See salaries and explore the career path for Content Creator

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.

See salaries and explore the career path for Digital Marketing Specialist

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.

See salaries and explore the career path for User Experience Designer

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.

See salaries and explore the career path for Product Manager

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.

See salaries and explore the career path for Business Analyst

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.

See salaries and explore the career path for Project Manager

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.

See salaries and explore the career path for Consultant

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.

See salaries and explore the career path for Customer Success Manager

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.

Natural Language Processing with Python

Save

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.

Natural Language Processing with Python: Analyzing...

Paperback

$$$

Natural Language Processing with Python: Analyzing...

Kindle Edition

Natural Language Processing in Action, Second...

Save

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.

Natural Language Processing in Action, Second...

Paperback

$$$

Cross-Lingual Word Embeddings

Save

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.

Cross-Lingual Word Embeddings (Synthesis Lectures...

Paperback

Bridgerton Prequels Collection

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Collection of the eight Bridgerton novels, along with annotations and commentary by the author. It valuable resource for fans of the Bridgerton series who want to learn more about the characters and the world of the books.

The Rokesbys Bridgerton Prequels Series Books 1 - 4...

Paperback

Tom Thorne Novels Bevelstoke & Bridgerton Prequels...

Paperback

$$$

A Bridgerton Prequel 4 book collection by Julia...

Paperback

Bridgerton Collection Volume 3: The Last Two Books...

Kindle Edition

Bridgerton Prequels Collection: Because of Miss...

Kindle Edition

The Lost Duke of Wyndham

Save

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.

Deploy Bridgerton NLP SMS Text Generator

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What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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