app.py

import gradio as gr
import hopsworks

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

dataset_api = project.get_dataset_api()

dataset_api.download("Resources/predictions/latest_prediction.txt", overwrite=True)
dataset_api.download("Resources/predictions/actual_prediction.txt", overwrite=True)
dataset_api.download("Resources/images/df_recent_titanic.png", overwrite=True)
dataset_api.download("Resources/images/confusion_matrix_titanic.png", overwrite=True)

with open("latest_prediction.txt") as file:
    latest_pred = file.read()
with open("actual_prediction.txt") as file:
    actual_pred = file.read()

with gr.Blocks() as demo:
    with gr.Row():
      with gr.Column():
          gr.Label("Today's Prediction")
          input_img = gr.Textbox(latest_pred, elem_id="predicted person")
      with gr.Column():          
          gr.Label("Today's Actual answer")
          input_img = gr.Textbox(actual_pred, elem_id="actual person")        
    with gr.Row():
      with gr.Column():
          gr.Label("Recent Prediction History")
          input_img = gr.Image("df_recent_titanic.png", elem_id="recent-predictions")
      with gr.Column():          
          gr.Label("Confusion Maxtrix with Historical Prediction Performance")
          input_img = gr.Image("confusion_matrix_titanic.png", elem_id="confusion-matrix")        

demo.launch()