import gradio as gr from PIL import Image import hopsworks project = hopsworks.login() fs = project.get_feature_store() dataset_api = project.get_dataset_api() dataset_api.download("Resources/images/latest_passenger_result.png") dataset_api.download("Resources/images/actual_passenger_status.png") dataset_api.download("Resources/images/df_recent.png") dataset_api.download("Resources/images/confusion_matrix.png") with gr.Blocks() as demo: with gr.Row(): with gr.Column(): gr.Label("Today's Predicted Image") input_img = gr.Image("latest_passenger_result.png", elem_id="predicted-img") with gr.Column(): gr.Label("Today's Actual Image") input_img = gr.Image("actual_passenger_status.png", elem_id="actual-img") with gr.Row(): with gr.Column(): gr.Label("Recent Prediction History") input_img = gr.Image("df_recent.png", elem_id="recent-predictions") with gr.Column(): gr.Label("Confusion Maxtrix with Historical Prediction Performance") input_img = gr.Image("confusion_matrix.png", elem_id="confusion-matrix") demo.launch()