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import gradio as gr
from PIL import Image
import hopsworks
project = hopsworks.login()
fs = project.get_feature_store()
dataset_api = project.get_dataset_api()
dataset_api.download("Resources/images/latest_wine_red.png")
dataset_api.download("Resources/images/actual_wine_red.png")
dataset_api.download("Resources/images/df_recent_wine_red.png")
dataset_api.download("Resources/images/confusion_matrix_wine_red.png")
dataset_api.download("Resources/images/latest_wine_white.png")
dataset_api.download("Resources/images/actual_wine_white.png")
dataset_api.download("Resources/images/df_recent_wine_white.png")
dataset_api.download("Resources/images/confusion_matrix_wine_white.png")
with gr.Blocks() as demo:
with gr.Row():
with gr.Column():
gr.Label("Today's Red Predicted Quality")
input_img = gr.Image("latest_wine_red.png", elem_id="predicted-img-red")
with gr.Column():
gr.Label("Today's Red Actual Quality")
input_img = gr.Image("actual_wine_red.png", elem_id="actual-img-red")
with gr.Column():
gr.Label("Today's White Predicted Quality")
input_img = gr.Image("actual_wine_white.png", elem_id="actual-img-white")
with gr.Column():
gr.Label("Today's White Actual Quality")
input_img = gr.Image("actual_wine_white.png", elem_id="actual-img-white")
with gr.Row():
with gr.Column():
gr.Label("Recent Red Prediction History")
input_img = gr.Image("df_recent_wine_red.png", elem_id="recent-predictions-red")
with gr.Column():
gr.Label("Confusion Maxtrix with Historical Red Prediction Performance")
input_img = gr.Image("confusion_matrix_wine_red.png", elem_id="confusion-matrix-red")
with gr.Column():
gr.Label("Recent White Prediction History")
input_img = gr.Image("df_recent_wine_white.png", elem_id="recent-predictions-white")
with gr.Column():
gr.Label("Confusion Maxtrix with Historical White Prediction Performance")
input_img = gr.Image("confusion_matrix_wine_white.png", elem_id="confusion-matrix-white")
demo.launch()
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