A demo application to showcase the responsive UI for ImageNet using Streamlit. Streamlit provides an alternative to building full stack applications for the Machine Learning interface. Here, streamlit is used to upload an image for inference from the model.
This demo is created using Streamlit.
The ImageNet model code using TensorFlow has been adapted from PyImageSearch
Install the requirements
pip install -r requirements.txt
Run the application
streamlit run ml_frontend.py
The application will run on localhost:8501 by default.
