first commit

app.py

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+import gradio as gr
+import hopsworks
+
+project = hopsworks.login(project="DD2223_lab1")
+fs = project.get_feature_store()
+
+dataset_api = project.get_dataset_api()
+
+dataset_api.download("Resources/images/latest_wine.txt")
+dataset_api.download("Resources/images/actual_wine.txt")
+dataset_api.download("Resources/images/df_recent.png")
+dataset_api.download("Resources/images/confusion_matrix.png")
+
+# Function to read text from a file and return it
+def read_text_file(file_path):
+    with open(file_path, 'r') as file:
+        content = file.read()
+    return content
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        with gr.Column():
+            gr.Label("Today's Predicted Wine Quality")
+            predicted_wine_text = gr.Text(read_text_file("latest_wine.txt"), elem_id="recent-text")
+        with gr.Column():
+            gr.Label("Today's Actual Wine Quality")
+            actual_wine_text = gr.Text(read_text_file("actual_wine.txt"), elem_id="actual-text")
+    with gr.Row():
+        with gr.Column():
+            gr.Label("Recent Prediction History")
+            recent_predictions_img = gr.Image("df_recent.png", elem_id="recent-predictions")
+        with gr.Column():
+            gr.Label("Confusion Matrix with Historical Prediction Performance")
+            confusion_matrix_img = gr.Image("confusion_matrix.png", elem_id="confusion-matrix")
+
+demo.launch()

requirements.txt

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+hopsworks
+httpx==0.24.1