Changed the app gui and paths

app.py

@@ -0,0 +1,43 @@
+import gradio as gr
+from PIL import Image
+import hopsworks
+
+#login to hopswork
+project = hopsworks.login()
+fs = project.get_feature_store()
+
+#get the dataset api
+dataset_api = project.get_dataset_api()
+
+#downloads form dataset the  predicted wine, the actual wine, the recent file and the confusion matrix
+dataset_api.download("Resources/texts/prediction.txt", overwrite=True)
+dataset_api.download("Resources/texts/label.txt", overwrite=True)
+dataset_api.download("Resources/images/wine/df_recent.png", overwrite=True)
+dataset_api.download("Resources/images/wine/confusion_matrix.png", overwrite=True)
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        with gr.Column():
+            gr.Label("Today's Predicted quality")
+            f = open("prediction.txt", "r")
+            string = f.readline()
+            f.close()
+            input_img = gr.Textbox(string , elem_id="predicted-quality")
+        
+        with gr.Column():          
+            gr.Label("Today's Actual quality")
+            f = open("label.txt", "r")
+            string = f.readline()
+            f.close()
+            input_img = gr.Textbox(string, elem_id="actual-quality")        
+    
+    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()