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d920184
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Upload app.py

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  1. app.py +31 -0
app.py ADDED
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+ import gradio as gr
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+ from PIL import Image
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+ import hopsworks
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+
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+ project = hopsworks.login()
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+ fs = project.get_feature_store()
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+
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+ dataset_api = project.get_dataset_api()
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+
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+ dataset_api.download("Resources/images/latest_iris.png")
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+ dataset_api.download("Resources/images/actual_iris.png")
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+ dataset_api.download("Resources/images/df_recent.png")
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+ dataset_api.download("Resources/images/confusion_matrix.png")
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+
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+ with gr.Blocks() as demo:
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+ with gr.Row():
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+ with gr.Column():
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+ gr.Label("Today's Predicted Image")
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+ input_img = gr.Image("latest_iris.png", elem_id="predicted-img")
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+ with gr.Column():
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+ gr.Label("Today's Actual Image")
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+ input_img = gr.Image("actual_iris.png", elem_id="actual-img")
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+ with gr.Row():
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+ with gr.Column():
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+ gr.Label("Recent Prediction History")
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+ input_img = gr.Image("df_recent.png", elem_id="recent-predictions")
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+ with gr.Column():
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+ gr.Label("Confusion Maxtrix with Historical Prediction Performance")
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+ input_img = gr.Image("confusion_matrix.png", elem_id="confusion-matrix")
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+
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+ demo.launch()