initial commit

app.py

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+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()
+dataset_api.download("Resources/images/latest_state.png",overwrite=True)
+dataset_api.download("Resources/images/actual_state.png",overwrite=True)
+dataset_api.download("Resources/images/df_recent_state.png",overwrite=True)
+dataset_api.download("Resources/images/titanic_confusion_matrix.png",overwrite=True)
+x=0
+def update():
+    dataset_api.download("Resources/images/latest_state.png",overwrite=True)
+    dataset_api.download("Resources/images/actual_state.png",overwrite=True)
+    dataset_api.download("Resources/images/df_recent_state.png",overwrite=True)
+    dataset_api.download("Resources/images/titanic_confusion_matrix.png",overwrite=True)
+
+def update_latest_state_img():
+    im = iio.imread('latest_state.png')
+    return im
+
+def update_actual_state_img():
+    im = iio.imread('actual_state.png')
+    return im
+
+def update_df_recent_img():
+    im = iio.imread('df_recent_state.png')
+    return im
+
+def update_confusion_matrix_img():
+    im = iio.imread('titanic_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_state.png", elem_id="predicted-img")
+          refresh.click(update_latest_state_img,outputs=input_img)
+          
+      with gr.Column():          
+          gr.Label("Today's Actual Image")
+          input_img = gr.Image("actual_state.png", elem_id="actual-img")
+          refresh.click(update_actual_state_img,outputs=input_img)
+    with gr.Row():
+      with gr.Column():
+          gr.Label("Recent Prediction History")
+          input_img = gr.Image("df_recent_state.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("titanic_confusion_matrix.png", elem_id="confusion-matrix")
+          refresh.click(update_confusion_matrix_img,outputs=input_img)
+
+
+
+
+demo.launch()

requirements.txt

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+hopsworks
+joblib
+scikit-learn
+seaborn
+dataframe-image
+modal-client
+gradio
+imageio