init

README.md

@@ -1,10 +1,10 @@
 ---
-title: Iris Monitor
-emoji: 👀
-colorFrom: gray
-colorTo: indigo
+title: Iris Monitoring
+emoji: 💻
+colorFrom: blue
+colorTo: pink
 sdk: gradio
-sdk_version: 4.1.2
+sdk_version: 3.8.2
 app_file: app.py
 pinned: false
 license: apache-2.0

app.py

@@ -0,0 +1,31 @@
+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()

requirements.txt

@@ -0,0 +1 @@
+hopsworks