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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()
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