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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_pred.png") | |
dataset_api.download("Resources/images/latest_label.png") | |
dataset_api.download("Resources/images/df_recent_titanic.png") | |
dataset_api.download("Resources/images/confusion_matrix_titanic.png") | |
with gr.Blocks() as demo: | |
with gr.Row(): | |
with gr.Column(): | |
gr.Label("The prediction of the last passenger") | |
input_img = gr.Image("latest_pred.png", elem_id="predicted-img") | |
with gr.Column(): | |
gr.Label("The actual status of the last passenger") | |
input_img = gr.Image("latest_label.png", elem_id="label-img") | |
with gr.Row(): | |
with gr.Column(): | |
gr.Label("Recent Prediction History") | |
input_img = gr.Image("df_recent_titanic.png", elem_id="recent-predictions") | |
with gr.Column(): | |
gr.Label("Confusion Matrix with Historical Prediction Performance") | |
input_img = gr.Image("confusion_matrix_titanic.png", elem_id="confusion-matrix") | |
demo.launch() |