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| 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_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.Image("latest_iris.png", elem_id="predicted-img") | |
| with gr.Column(): | |
| gr.Label("Today's Actual Image") | |
| input_img = gr.Image("actual_iris.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() | |