app.py

import gradio as gr
from PIL import Image
import hopsworks
import os


project = hopsworks.login()
fs = project.get_feature_store()

dataset_api = project.get_dataset_api()

#dataset_api.download("Resources/images/latest_iris.png") # fix later
#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 Wine Quality")
          #input_img = gr.Image("latest_iris.png", elem_id="predicted-img")
      with gr.Column():          
          gr.Label("Today's Actual Wine Quality")
          #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()