Update app.py

app.py

@@ -71,7 +71,6 @@ import streamlit as st
 # Configure logging
 logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
 
-@st.cache_data(ttl=1800, max_entries=30, show_spinner='Retrieving data...')
 class UAPAnalyzer:
     """
     A class for analyzing and clustering textual data within a pandas DataFrame using 
@@ -786,7 +785,6 @@ def plot_cramers_v_heatmap(data, significance_level=0.05):
     plt.title(f"Heatmap of Cramér's V (p < {significance_level})")
     return plt
 
-@st.cache_data(ttl=1800, max_entries=30, show_spinner='Retrieving data...')
 class UAPVisualizer:
     def __init__(self, data=None):
         pass  # Initialization can be added if needed
@@ -926,7 +924,6 @@ class UAPVisualizer:
         plt.show()
 
 
-@st.cache_data(ttl=1800, max_entries=30, show_spinner='Retrieving data...')
 class UAPParser:
     def __init__(self, api_key, model="gpt-3.5-turbo-0125", col=None, format_long=None):
         os.environ['OPENAI_API_KEY'] = api_key