Spaces:
Runtime error
Runtime error
File size: 1,308 Bytes
9e655be 9e21378 21bb15b 49062f9 9e21378 49062f9 9e21378 9e655be 9e21378 9e655be |
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 33 34 35 36 37 |
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.png")
dataset_api.download("Resources/images/actual_wine.png")
dataset_api.download("Resources/images/df_wine_recent.png")
dataset_api.download("Resources/images/confusion_wine_matrix.png")
with gr.Blocks() as demo:
with gr.Row():
with gr.Column():
gr.Label("Note: wine quality is given on a scale of 1-3 glasses.")
with gr.Row():
with gr.Column():
gr.Label("Today's Predicted Quality (1-3)")
input_img = gr.Image("latest_wine.png", elem_id="predicted-img")
with gr.Column():
gr.Label("Today's Actual Quality (1-3)")
input_img = gr.Image("actual_wine.png", elem_id="actual-img")
with gr.Row():
with gr.Column():
gr.Label("Recent Prediction History")
input_img = gr.Image("df_wine_recent.png", elem_id="recent-predictions")
with gr.Column():
gr.Label("Confusion Maxtrix with Historical Prediction Performance")
input_img = gr.Image(
"confusion_wine_matrix.png", elem_id="confusion-matrix"
)
demo.launch()
|