app

app.py

@@ -0,0 +1,24 @@
+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/df_recent.png")
+dataset_api.download("Resources/images/confusion_matrix.png")
+
+with gr.Blocks() as demo:      
+    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()