import gradio as gr from PIL import Image import hopsworks project = hopsworks.login(project="gana",api_key_value= "YWLlC0yDGD9HteBL.vb39xISRFFFmGTOGqh6SYpDrVYt1OKOUPj0I2PShMBssexiYQIHmclcaMGFj0P49") fs = project.get_feature_store() dataset_api = project.get_dataset_api() dataset_api.download("Resources/images/latest_star.png") dataset_api.download("Resources/images/actual_star.png") dataset_api.download("Resources/images/star_df_recent.png") dataset_api.download("Resources/images/star_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_star.png", elem_id="predicted-img") # with gr.Column(): # gr.Label("Today's Actual Image") # input_img = gr.Image("actual_star.png", elem_id="actual-img") with gr.Row(): with gr.Column(): gr.Label("Recent Prediction History") input_img = gr.Image("star_df_recent.png", elem_id="recent-predictions") with gr.Column(): gr.Label("Confusion Maxtrix with Historical Prediction Performance") input_img = gr.Image("star_confusion_matrix.png", elem_id="confusion-matrix") demo.launch()