Delete app.py

app.py

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