app.py

import gradio as gr
from PIL import Image
import hopsworks
import os
import imageio.v3 as io
import inspect

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

dataset_api = project.get_dataset_api()

dataset_api.download("Resources/images/latest_titanic.png")
dataset_api.download("Resources/images/actual_titanic.png")
dataset_api.download("Resources/images/df_recent.png")
dataset_api.download("Resources/images/confusion_matrix.png")

def update_latest_img():
    img = io.imread('latest_titanic.png')
    return img

def update_actual_img():
    img = io.imread('actual_titanic.png')
    return img

def update_df_recent_img():
    img = io.imread('df_recent.png')
    return img

def update_confusion_matrix_img():
    img = io.imread('confusion_matrix.png')
    return img
    
def update():
    dataset_api.download("Resources/images/latest_titanic.png",overwrite=True)
    dataset_api.download("Resources/images/actual_titanic.png",overwrite=True)
    dataset_api.download("Resources/images/df_recent.png",overwrite=True)
    dataset_api.download("Resources/images/confusion_matrix.png",overwrite=True)
    return None  
      
with gr.Blocks() as demo:
    with gr.Row():
          load=gr.Button("Load")
          load=load.click(fn=update)
    with gr.Row():
          refresh=gr.Button("Refresh")
    with gr.Row():
      with gr.Column():
          gr.Label("Today's Predicted Result")
          input_img = gr.Image("latest_titanic.png", elem_id="predicted-img")
          refresh.click(update_latest_img, outputs=input_img)
      with gr.Column():          
          gr.Label("Today's Actual Result")
          input_img = gr.Image("actual_titanic.png", elem_id="actual-img") 
          refresh.click(update_actual_img, outputs=input_img)       
    with gr.Row():
      with gr.Column():
          gr.Label("Recent Prediction History")
          input_img = gr.Image("df_recent.png", elem_id="recent-predictions")
          refresh.click(update_df_recent_img, outputs=input_img)
      with gr.Column():          
          gr.Label("Confusion Maxtrix with Historical Prediction Performance")
          input_img = gr.Image("confusion_matrix.png", elem_id="confusion-matrix") 
          refresh.click(update_confusion_matrix_img, outputs=input_img)       

demo.launch()