got most positive article from hopsworks

app.py

@@ -1,24 +1,31 @@
 import gradio as gr
 import PIL
 import hopsworks
+import pandas as pd
+from datetime import datetime
+
+today = datetime.now().strftime('%Y-%m-%d')
 
 project = hopsworks.login()
-# fs = project.get_feature_store()
+fs = project.get_feature_store()
+
+most_positive_fg = fs.get_feature_group(name="articles_most_positive", version=2)
+most_positive_df = most_positive_fg.read()
+most_positive_df = most_positive_df[most_positive_df['pubdate'] == today]
+most_positive_article = most_positive_df.iloc[0]
+
 
+
+# Get images
 dataset_api = project.get_dataset_api()
 
 dataset_api.download("Resources/images/news_image.png")
 dataset_api.download("Resources/images/general_sentiment_history.png")
 dataset_api.download("Resources/images/demo_sentiment_history.png")
 
-news_headline = "Lucia celebration at KTH Library"
-news_source = "KTH Library"
-news_article = """This year Akademiska hus and KTH Library invites you to a warm and beautiful Lucia celebration in the library hall. We will get to listen to Kongliga Teknologkören (KTH choir) singing traditional Lucia hymns. 
-
-We will also offer traditional Lucia fika, mainly mulled wine (alcohol free), "lussebullar" and ginger bread cookies.
-
-The Lucia celebration starts 7:30 in the morning. You are welcome to enter the library from 6:50. Please note that this is a popular event that may reach full capacity! First come, first served.
-"""
+news_headline = most_positive_article["title"]
+news_source = most_positive_article["source_id"]
+news_article = most_positive_article["content"]
 
 with gr.Blocks() as demo:
     gr.Markdown("<div align='center'><h1>The Delight Dispatch ☀️🗞️</h1></div")