Updated app at lör 11 nov 2023 18:57:23 CET

app.py

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+import gradio as gr
+from PIL import Image
+import hopsworks
+
+# IDE Help
+from hopsworks.core.dataset_api import DatasetApi
+
+# Images
+hopsworks_images_location = "Resources/images"
+hopsworks_images = {
+    "latest_iris":
+        {
+            "name": "latest_iris.png",
+            "local_path": ""
+        },
+    "actual_iris":
+        {
+            "name": "actual_iris.png",
+            "local_path": ""
+        },
+    "df_recent":
+        {
+            "name": "df_recent.png",
+            "local_path": ""
+        },
+    "confusion_matrix":
+        {
+            "name": "confusion_matrix.png",
+            "local_path": ""
+        }
+}
+
+print("Logging in to Hopsworks...")
+project = hopsworks.login()
+
+print("Getting feature store...")
+fs = project.get_feature_store()
+
+print("Get database handler from Hopsworks...")
+dataset_api: DatasetApi = project.get_dataset_api()
+
+for image in hopsworks_images:
+    print(f"Downloading {hopsworks_images[image]['name']} from Hopsworks...")
+    hopsworks_images[image]['local_path'] = dataset_api.download(f"{hopsworks_images_location}/{image}")
+    print(f"Saved in: {hopsworks_images[image]['local_path']}")
+
+print("Configuring gradio")
+with gr.Blocks() as demo:
+    with gr.Row():
+        with gr.Column():
+            label1 = gr.Label("Today's Predicted Image")
+            image1 = gr.Image(hopsworks_images['latest_iris']['local_path'],
+                              elem_id="predicted-img", type="pil")
+        with gr.Column():
+            label2 = gr.Label("Today's Actual Image")
+            image2 = gr.Image(hopsworks_images['actual_iris']['local_path'],
+                              elem_id="actual-img", type="pil")
+    with gr.Row():
+        with gr.Column():
+            label3 = gr.Label("Recent Prediction History")
+            image3 = gr.Image(hopsworks_images['df_recent']['local_path'],
+                              elem_id="recent-predictions", type="pil")
+        with gr.Column():
+            label4 = gr.Label("Confusion Matrix with Historical Prediction Performance")
+            image4 = gr.Image(hopsworks_images['confusion_matrix']['local_path'],
+                              elem_id="confusion-matrix", type="pil")
+
+print("Launching gradio...")
+demo.launch(debug=True)

requirements.txt

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+hopsworks