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Browse files- README.md +4 -4
- app.py +31 -0
- requirements.txt +3 -0
README.md
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---
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title:
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emoji:
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colorFrom:
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sdk: gradio
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sdk_version: 3.11.0
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app_file: app.py
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---
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title: Titanic Monitor
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emoji: π
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colorFrom: pink
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colorTo: yellow
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sdk: gradio
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sdk_version: 3.11.0
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app_file: app.py
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app.py
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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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project = hopsworks.login()
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fs = project.get_feature_store()
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dataset_api = project.get_dataset_api()
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dataset_api.download("Resources/images/latest_survival.jpg")
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dataset_api.download("Resources/images/actual_survival.jpg")
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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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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_survival.jpg", 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_survival.jpg", 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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demo.launch()
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requirements.txt
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hopsworks
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joblib
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scikit-learn==0.22.1
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