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app.py

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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_wine_red.png")
+dataset_api.download("Resources/images/actual_wine_red.png")
+dataset_api.download("Resources/images/df_recent_wine_red.png")
+dataset_api.download("Resources/images/confusion_matrix_wine_red.png")
+dataset_api.download("Resources/images/latest_wine_white.png")
+dataset_api.download("Resources/images/actual_wine_white.png")
+dataset_api.download("Resources/images/df_recent_wine_white.png")
+dataset_api.download("Resources/images/confusion_matrix_wine_white.png")
+
+with gr.Blocks() as demo:
+    with gr.Row():
+      with gr.Column():
+          gr.Label("Today's Red Predicted Quality")
+          input_img = gr.Image("latest_wine_red.png", elem_id="predicted-img-red")
+      with gr.Column():          
+          gr.Label("Today's Red Actual Quality")
+          input_img = gr.Image("actual_wine_red.png", elem_id="actual-img-red")
+      with gr.Column():          
+          gr.Label("Today's White Actual Quality")
+          input_img = gr.Image("actual_wine_white.png", elem_id="actual-img-white")
+      with gr.Column():          
+          gr.Label("Today's White Actual Quality")
+          input_img = gr.Image("actual_wine_white.png", elem_id="actual-img-white")        
+    with gr.Row():
+      with gr.Column():
+          gr.Label("Recent Red Prediction History")
+          input_img = gr.Image("df_recent_wine_red.png", elem_id="recent-predictions-red")
+      with gr.Column():          
+          gr.Label("Confusion Maxtrix with Historical Red Prediction Performance")
+          input_img = gr.Image("confusion_matri_wine_red.png", elem_id="confusion-matrix-red")
+      with gr.Column():
+          gr.Label("Recent White Prediction History")
+          input_img = gr.Image("df_recent_wine_white.png", elem_id="recent-predictions-white")
+      with gr.Column():          
+          gr.Label("Confusion Maxtrix with Historical White Prediction Performance")
+          input_img = gr.Image("confusion_matri_wine_white.png", elem_id="confusion-matrix-white")        
+
+demo.launch()

requirements.txt

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+hopsworks
+joblib
+scikit-learn==1.1.3