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Browse files- app.py +1 -0
- requirements.txt +1 -0
app.py
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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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import gradio as gr
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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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requirements.txt
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hopsworks
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