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import gradio as gr
import hopsworks
project = hopsworks.login(project="DD2223_lab1")
fs = project.get_feature_store()
dataset_api = project.get_dataset_api()
dataset_api.download("Resources/images/latest_wine.txt")
dataset_api.download("Resources/images/actual_wine.txt")
dataset_api.download("Resources/images/df_recent.png")
dataset_api.download("Resources/images/wine_confusion_matrix.png")
# Function to read text from a file and return it
def read_text_file(file_path):
with open(file_path, 'r') as file:
content = file.read()
return content
with gr.Blocks() as demo:
with gr.Row():
with gr.Column():
gr.Label("Today's Predicted Wine Quality")
input = gr.Text(read_text_file("latest_wine.txt"), elem_id="recent-text")
with gr.Column():
gr.Label("Today's Actual Wine Quality")
input = gr.Text(read_text_file("actual_wine.txt"), elem_id="recent-text")
with gr.Row():
with gr.Column():
gr.Label("Recent Prediction History")
input = gr.Image("df_recent.png", elem_id="recent-predictions")
with gr.Column():
gr.Label("Confusion Maxtrix with Historical Prediction Performance")
input_img = gr.Image("wine_confusion_matrix.png", elem_id="confusion-matrix")
demo.launch()
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