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