some fixes

app.py

@@ -33,7 +33,7 @@ with left_column:
     st.subheader("Vader-based Sentiment Analysis")
 
     with st.spinner("Connecting with Hopsworks..."):
-        df = sentiment_analysis(option_name, datetime(2023, 1, 5))
+        df = sentiment_analysis(option_name, datetime.today())
         df_copy = df.copy()
         df_copy = df_copy.set_index('publish_date')
         st.table(df_copy.drop(['body_text', 'text_w_puncts', 'text_tokenized', 'text_w_stopwords', 'text_lemmatized', 'text_stemmed', 'text_processed', 'predicted_class'], axis=1))
@@ -45,7 +45,7 @@ with right_column:
     st.subheader("Today's Stock Price")
 
     with st.spinner('Loading stock data from YahooFinance...'):
-        stock_df = get_stock_price(option_ticker, datetime(2023, 1, 5), datetime(2023, 1, 6))
+        stock_df = get_stock_price(option_ticker, datetime.today(), (datetime.today() + timedelta(days=1)))
         st.table(stock_df)
 
     st.subheader("LSTM-based stock price prediction model")

data_loader_functions.py

@@ -68,6 +68,18 @@ def get_news_from_hopsworks():
   query = news_fg.select_all()
   return query.read()
 
+## Fetch history prediction plot
+def get_history_plot_from_hopsworks(ticker):
+  project = hopsworks.login()
+  dataset_api = project.get_dataset_api()
+  if ticker == 'AAPL':
+    dataset_api.download("Resources/images/apple_stock_prediction.png", overwrite=True)
+  elif ticker == 'AMZN':
+    dataset_api.download("Resources/images/amazon_stock_prediction.png", overwrite=True)
+  else:
+    dataset_api.download("Resources/images/meta_stock_prediction.png", overwrite=True)
+  return
+
 ## Formalize the date column
 def remove_parentheses(s):
   if '(' in s: