first version

app.py

@@ -0,0 +1,18 @@
+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/confusion_matrix.png")
+
+with gr.Blocks() as demo:
+    with gr.Row():
+      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