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README.md

@@ -1,12 +1,13 @@
 ---
 title: Electricity Monitoring
-emoji: 🌖
-colorFrom: yellow
-colorTo: pink
+emoji: 💻
+colorFrom: purple
+colorTo: blue
 sdk: gradio
-sdk_version: 3.16.0
+sdk_version: 3.5
 app_file: app.py
 pinned: false
+license: apache-2.0
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+import hopsworks
+from sklearn.metrics import mean_absolute_error
+
+project = hopsworks.login()
+fs = project.get_feature_store()
+
+monitor_fg = fs.get_feature_group(name="ny_elec_predictions", version=1)
+history_df = monitor_fg.read()
+latest_prediction = history_df.iloc[-1]
+
+y_pred = history_df['prediction']
+y_test = history_df['actual']
+mean_error = mean_absolute_error(y_test, y_pred)
+
+dataset_api = project.get_dataset_api()
+dataset_api.download("Resources/images/df_ny_elec_recent.png", overwrite=True)
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        with gr.Column():
+            gr.Label("Today's predicted NY electricity demand")
+            gr.Label("{:.0f}MWh".format(latest_prediction['prediction']))
+        with gr.Column():
+            gr.Label("Today's actual demand")
+            gr.Label("{}MWh".format(latest_prediction['actual']))
+    with gr.Row():
+        with gr.Column():
+            gr.Label("Recent Prediction History")
+            input_img = gr.Image("df_ny_elec_recent.png", elem_id="recent-predictions")
+        with gr.Column():
+            gr.Label("MAE for historical predictions")
+            gr.Label("{:.0f}MWh".format(mean_error))
+
+
+demo.launch()

requirements.txt

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+hopsworks
+scikit-learn