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import gradio as gr | |
from PIL import Image | |
import hopsworks | |
project = hopsworks.login(project="gana",api_key_value= "YWLlC0yDGD9HteBL.vb39xISRFFFmGTOGqh6SYpDrVYt1OKOUPj0I2PShMBssexiYQIHmclcaMGFj0P49") | |
fs = project.get_feature_store() | |
dataset_api = project.get_dataset_api() | |
dataset_api.download("Resources/images/latest_star.png") | |
dataset_api.download("Resources/images/actual_star.png") | |
dataset_api.download("Resources/images/star_df_recent.png") | |
dataset_api.download("Resources/images/star_confusion_matrix.png") | |
with gr.Blocks() as demo: | |
# with gr.Row(): | |
# with gr.Column(): | |
# gr.Label("Today's Predicted Image") | |
# input_img = gr.Image("latest_star.png", elem_id="predicted-img") | |
# with gr.Column(): | |
# gr.Label("Today's Actual Image") | |
# input_img = gr.Image("actual_star.png", elem_id="actual-img") | |
with gr.Row(): | |
with gr.Column(): | |
gr.Label("Recent Prediction History") | |
input_img = gr.Image("star_df_recent.png", elem_id="recent-predictions") | |
with gr.Column(): | |
gr.Label("Confusion Maxtrix with Historical Prediction Performance") | |
input_img = gr.Image("star_confusion_matrix.png", elem_id="confusion-matrix") | |
demo.launch() | |