added load and refresh button

app.py

@@ -2,31 +2,70 @@ import gradio as gr
 from PIL import Image
 import hopsworks
 import os
+import imageio.v3 as iio
+import inspect
 
 project = hopsworks.login(project="test42",api_key_value=os.environ.get("HOPSWORKS_API_KEYS"))
 fs = project.get_feature_store()
 
 dataset_api = project.get_dataset_api()
+print(inspect.signature(dataset_api.download))
+dataset_api.download("Resources/images/latest_iris.png",overwrite=True)
+dataset_api.download("Resources/images/actual_iris.png",overwrite=True)
+dataset_api.download("Resources/images/df_recent.png",overwrite=True)
+dataset_api.download("Resources/images/confusion_matrix.png",overwrite=True)
+x=0
+def update():
+    dataset_api.download("Resources/images/latest_iris.png",overwrite=True)
+    dataset_api.download("Resources/images/actual_iris.png",overwrite=True)
+    dataset_api.download("Resources/images/df_recent.png",overwrite=True)
+    dataset_api.download("Resources/images/confusion_matrix.png",overwrite=True)
 
-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")
+def update_latest_iris_img():
+    im = iio.imread('latest_iris.png')
+    return im
+
+def update_actual_iris_img():
+    im = iio.imread('actual_iris.png')
+    return im
+
+def update_df_recent_img():
+    im = iio.imread('df_recent.png')
+    return im
+
+def update_confusion_matrix_img():
+    im = iio.imread('confusion_matrix.png')
+    return im
 
 with gr.Blocks() as demo:
+    with gr.Row():
+      with gr.Column():
+          load=gr.Button("Load")
+          load.click(fn=update)
+      with gr.Column():
+          refresh=gr.Button("Refresh")
+
     with gr.Row():
       with gr.Column():
           gr.Label("Today's Predicted Image")
           input_img = gr.Image("latest_iris.png", elem_id="predicted-img")
+          refresh.click(update_latest_iris_img,outputs=input_img)
+          
       with gr.Column():          
           gr.Label("Today's Actual Image")
-          input_img = gr.Image("actual_iris.png", elem_id="actual-img")        
+          input_img = gr.Image("actual_iris.png", elem_id="actual-img")
+          refresh.click(update_actual_iris_img,outputs=input_img)
     with gr.Row():
       with gr.Column():
           gr.Label("Recent Prediction History")
           input_img = gr.Image("df_recent.png", elem_id="recent-predictions")
+          refresh.click(update_df_recent_img,outputs=input_img)
       with gr.Column():          
           gr.Label("Confusion Maxtrix with Historical Prediction Performance")
-          input_img = gr.Image("confusion_matrix.png", elem_id="confusion-matrix")        
+          input_img = gr.Image("confusion_matrix.png", elem_id="confusion-matrix")
+          refresh.click(update_confusion_matrix_img,outputs=input_img)
+
+
+
 
 demo.launch()