Building Streamlit UI for Image Background Removal using ML and AI in Python
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To build a Streamlit UI
To build a Streamlit UI for an image background removal application using ML and AI in Python, you can follow these steps:
Install the necessary libraries: You'll need to install Streamlit and any other libraries you'll be using in your application, such as OpenCV and TensorFlow.
Define the user interface: You can define the layout and design of your UI using Streamlit's functions, such as st.title(), st.image(), and st.file_uploader(). For example, you can create a title for your app, an image display area, and an uploader for users to upload their images.
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