Streamlit Tutorial 2 - Working with Text Inputs

Streamlit Tutorial Playlist https://www.youtube.com/playlist?list=PLc2rvfiptPSSpZ99EnJbH5LjTJ_nOoSWW Ready to take control of your Streamlit app's input fields? In this tutorial, we're diving deep into text inputs and beyond. Whether you need a simple text box or a colorful palette picker, we've got you covered. Learn how to use st.text_input() and st.text_area() to gather text from users, and discover the power of st.number_input() for numeric entries. Need dates or times? We'll show you how with st.date_input() and st.time_input(). Plus, add a splash of color to your app with st.color_picker(). Whether you're building a calculator, a form, or a creative project, mastering text inputs is key. Join us as we explore each input type step by step, making your Streamlit apps more interactive and user-friendly than ever before! GitHub Repository Link https://github.com/laxmimerit/streamlit-tutorials WATCH FULL PLAYLIST HERE 1-1. Working with Text Display Part 1 https://youtu.be/hff2tHUzxJM 1-2. Working with Text Display Part 2 https://youtu.be/ry2lNNVz5DM 2. Working with Text Inputs https://youtu.be/6FqMK7JtVyk 3. Working with Interactive Widgets of Streamlit https://youtu.be/yMcUU_OiSVQ 4. Working with Status and Progress Indicators https://youtu.be/crEszDkC-O8 5. Working with Data Objects https://youtu.be/FRop08PAsd0 6. Working with Media (Audio, Video and Image) Files https://youtu.be/hKTN6Njxqxk 7-1. Working with Plotting Libraries Part 1 https://youtu.be/uf3KaG9_nxA 7-2. Working with Plotting Libraries Part 2 https://youtu.be/JcWeWwb2fWY 8. Working with Sidebar and Navigation Bars https://youtu.be/8b3pQhNV3aA 9-1. Working with Layouts and Page Configuration Part 1 https://youtu.be/1ydOnGUAJxw 9-2. Working with Layouts and Page Configuration Part 2 https://youtu.be/GmorIv_IqmI 10. Working with Caching and Resource Management https://youtu.be/loUhSJgNd_8 11. Deploy Streamlit Application - Make Image Cartoon and Remove Background https://youtu.be/tFyLYuMlQlA 00. Streamlit Crash Course https://youtu.be/LjZTXKaPz2M 🔊 Watch till last for a detailed description 💯 Read Full Blog with Code https://kgptalkie.com 💬 Leave your comments and doubts in the comment section 📌 Save this channel and video for watch later 👍 Like this video to show your support and love ❤️ ~~~~~~~~ 🆓 Watch My Top Free Data Science Videos 👉🏻 Python for Data Scientist https://bit.ly/3dETtFb 👉🏻 Machine Learning for Beginners https://bit.ly/2WOVh7N 👉🏻 Feature Selection in Machine Learning https://bit.ly/2YW6ZQH 👉🏻 Text Preprocessing and Mining for NLP https://bit.ly/31sYMUN 👉🏻 Natural Language Processing (NLP) Tutorials https://bit.ly/3dF1cTL 👉🏻 Deep Learning with TensorFlow 2.0 and Keras https://bit.ly/3dFl09G 👉🏻 COVID 19 Data Analysis and Visualization Masterclass https://bit.ly/31vNC1U 👉🏻 Machine Learning Model Deployment Using Flask at AWS https://bit.ly/3b1svaD 👉🏻 Make Your Own Automated Email Marketing Software in Python https://bit.ly/2QqLaDy *********** 🤝 BE MY FRIEND 🌍 Check Out ML Blogs: https://kgptalkie.com 🐦Add me on Twitter: https://twitter.com/laxmimerit 📄 Follow me on GitHub: https://github.com/laxmimerit 📕 Add me on Facebook: https://facebook.com/kgptalkie 💼 Add me on LinkedIn: https://linkedin.com/in/laxmimerit 👉🏻 Complete Udemy Courses: https://bit.ly/32taBK2 ⚡ Check out my Recent Videos: https://bit.ly/3ldnbWm 🔔 Subscribe me for Free Videos: https://bit.ly/34wN6T6 🤑 Get in touch for Promotion: [email protected] ✍️🏆🏅🎁🎊🎉✌️👌⭐⭐⭐⭐⭐ ENROLL in My Highest Rated Udemy Courses to 🔑 Crack Data Science Interviews and Jobs 🏅🎁 Python for Machine Learning: A Step-by-Step Guide | Udemy Course Link: https://bit.ly/ml-ds-project 🎁🎊 Deep Learning for Beginners with Python Course Link: https://bit.ly/dl-with-python 📚 📗 Natural Language Processing ML Model Deployment at AWS Course Link: https://bit.ly/bert_nlp 📊 📈 Data Visualization in Python Masterclass: Beginners to Pro Course Link: https://bit.ly/udemy95off_kgptalkie 📘 📙 Natural Language Processing (NLP) in Python for Beginners Course Link: https://bit.ly/intro_nlp 🎉✌️ Advanced Natural Language and Image Processing Projects | Udemy Course Link: https://bit.ly/kgptalkie_ml_projects 📈 📘 Python for Linear Regression in Machine Learning Course Link: https://bit.ly/regression-python 📙📊 R 4.0 Programming for Data Science || Beginners to Pro Course Link: http://bit.ly/r4-ml ✍️🏆 Introduction to Spacy 3 for Natural Language Processing Course Link: https://bit.ly/spacy-intro ✍️🏆 Introduction to Spacy 3 for Natural Language Processing Course Link: https://bit.ly/spacy-intro