File size: 1,130 Bytes
e4ee7ca |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 |
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_iris.png")
dataset_api.download("Resources/images/actual_iris.png")
dataset_api.download("Resources/images/df_recent.png")
dataset_api.download("Resources/images/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_iris.png", elem_id="predicted-img")
with gr.Column():
gr.Label("Today's Actual Image")
input_img = gr.Image("actual_iris.png", elem_id="actual-img")
with gr.Row():
with gr.Column():
gr.Label("Recent Prediction History")
input_img = gr.Image("df_recent.png", elem_id="recent-predictions")
with gr.Column():
gr.Label("Confusion Maxtrix with Historical Prediction Performance")
input_img = gr.Image("confusion_matrix.png", elem_id="confusion-matrix")
demo.launch()
|