Add image downloads and Gradio interface

app.py

@@ -1,7 +1,30 @@
 import gradio as gr
+import hopsworks
 
-def greet(name):
-    return "Hello " + name + "!!"
+project = hopsworks.login()
+fs = project.get_feature_store()
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+dataset_api = project.get_dataset_api()
+
+dataset_api.download("Resources/images/latest_wine.png")
+dataset_api.download("Resources/images/actual_wine.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 Wine")
+          input_img = gr.Image("latest_win.png", elem_id="predicted-img")
+      with gr.Column():          
+          gr.Label("Today's Actual Wine")
+          input_img = gr.Image("actual_wine.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 @@
+gradio