asdads

app.py

@@ -26,14 +26,15 @@ dataset_api.download("Resources/images/wine_confusion_matrix.png", overwrite=Tru
 
 
 class ImageLoad:
-    def __init__(self, path:str) -> None:
+    def __init__(self, path, project) -> None:
         self.path = path
         self.image_name = path[path.rfind('/') + 1:]
+        self.project = project
         print(self.image_name)
 
     def __call__(self):
-        project = hopsworks.login()
-        dataset_api = project.get_dataset_api()
+        #project = hopsworks.login()
+        dataset_api = self.project.get_dataset_api()
         dataset_api.download(self.path, overwrite=True)
         return Image.open(self.image_name)
 
@@ -43,21 +44,21 @@ with gr.Blocks() as demo:
     with gr.Row():
       with gr.Column():
           gr.Label("Today's Predicted Image")
-          input_img = gr.Image(value=ImageLoad("Resources/images/latest_wine.png"), elem_id="predicted-img")
+          input_img = gr.Image(value=ImageLoad("Resources/images/latest_wine.png", project), elem_id="predicted-img")
       with gr.Column():          
           gr.Label("Today's Actual Image")
-          input_img = gr.Image(value=ImageLoad("Resources/images/actual_wine.png"), elem_id="actual-img")        
+          input_img = gr.Image(value=ImageLoad("Resources/images/actual_wine.png", project), elem_id="actual-img")        
     with gr.Row():
       with gr.Column():
           gr.Label("Recent Prediction History")
-          input_img = gr.Image(value=ImageLoad("Resources/images/df_wine_recent.png"), elem_id="recent-predictions")
+          input_img = gr.Image(value=ImageLoad("Resources/images/df_wine_recent.png", project), elem_id="recent-predictions")
       with gr.Column():          
           gr.Label("Confusion Maxtrix with Historical Prediction Performance")
           #input_img = gr.Image("wine_confusion_matrix.png", elem_id="confusion-matrix")     
           """ image = gr.Image(show_label=False)
           demo.load(fn=load_images, inputs=None, outputs=image,
                 show_progress=False)  """  
-          input_img = gr.Image(value=ImageLoad("Resources/images/wine_confusion_matrix.png"), elem_id="recent-predictions")
+          input_img = gr.Image(value=ImageLoad("Resources/images/wine_confusion_matrix.png", project), elem_id="recent-predictions")
     #demo.load(load_images)
 
 #load_images()