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Update pages/4_π_About.py
Browse files- pages/4_π_About.py +2 -58
pages/4_π_About.py
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new_line()
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# What is ClickML?
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st.markdown("Welcome to
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st.markdown("It is no-code easy-to-use platfrom which allows you to build machine learning models without writing a single line of code. \n ")
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video_path = "./assets/Promo.mp4"
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video_bytes = open(video_path, "rb").read()
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st.video(video_bytes)
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# what this app does with the main, quickml, and study_time pages
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new_line()
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# How to use ClickML?
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st.header("π How to Use ClickML?")
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st.markdown("Below is a video that explains how to use ClickML by building a machine learning model on the Titanic dataset and by using all the features of ClickML.", unsafe_allow_html=True)
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st.video("./assets/Tutorial.mp4")
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# Contributors
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st.header(" π€ Contributors")
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st.markdown("This application was developed and maintained by **Basel Mathar**.", unsafe_allow_html=True)
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st.markdown("Basel is a Data Scientist and a Machine Learning Engineer. He is passionate about building Machine Learning models and creating web apps to help others build Machine Learning models.", unsafe_allow_html=True)
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new_line()
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# Source Code
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st.header(" π Source Code")
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st.markdown("The source code for this app is available on [**GitHub**](https://github.com/baselhusam/clickml). Feel free to contribute, provide feedback, or customize the application to suit your needs.", unsafe_allow_html=True)
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st.markdown("You can open the terminal and run the following commands to download the source code and run the app locally:", unsafe_allow_html=True)
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st.code("""git clone https://github.com/baselhusam/ClickML.git
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pip install -r requirements.txt
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streamlit run 1_ClickML.py""",
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language="bash")
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new_line()
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# Roadmap
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st.header(" πΊοΈ Roadmap")
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st.markdown("""This is a roadmap for the ClickML project. It will show the current status of the project and the future work that needs to be done.
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Visit the [**ClickML Roadmap**](https://clickml-roadmap.streamlit.app/) for more information.""", unsafe_allow_html = True)
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new_line()
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# Contact Us
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st.header(" π¬ Contact Us")
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st.markdown("""If you have any questions or suggestions, please feel free to contact us at **[email protected]**. We're here to help!
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**Connect with us on social media:**
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<a href="https://www.linkedin.com/company/clickml/?viewAsMember=true" target="_blank">
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<img src="https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQe0adDoUGWVD3jGzfT8grK5Uhw0dLXSk3OWJwZaXI-t95suRZQ-wPF7-Az6KurXDVktV4&usqp=CAU" alt="LinkedIn" width="80" height="80" style="border-radius: 25%;">
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</a> σ ͺ σ ͺ σ ͺ σ ͺ σ ͺ
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<a href="https://www.instagram.com/baselhusam/" target="_blank">
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<img src="https://upload.wikimedia.org/wikipedia/commons/thumb/e/e7/Instagram_logo_2016.svg/2048px-Instagram_logo_2016.svg.png" alt="Instagram" width="80" height="80" style="border-radius: 25%;">
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</a> σ ͺ σ ͺ σ ͺ σ ͺ σ ͺ
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<a href="https://www.facebook.com/profile.php?id=100088667931989" target="_blank">
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<img src="https://seeklogo.com/images/F/facebook-logo-C64946D6D2-seeklogo.com.png" alt="Facebook" width="80" height="80" style="border-radius: 25%;">
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</a>
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<br>
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<br>
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We look forward to hearing from you and supporting you on your machine learning journey!
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""", unsafe_allow_html=True)
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if __name__ == "__main__":
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main()
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new_line()
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# What is ClickML?
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st.markdown("Welcome to Click Analytics, an intuitive and powerful machine learning application designed to simplify the process of building and evaluating machine learning models. Whether you're a beginner or an experienced data scientist, ClickML provides a user-friendly interface to streamline your machine learning workflows.", unsafe_allow_html=True)
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st.markdown("It is no-code easy-to-use platfrom which allows you to build machine learning models without writing a single line of code. \n ")
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# what this app does with the main, quickml, and study_time pages
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new_line()
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if __name__ == "__main__":
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main()
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