Update app.py

app.py

@@ -18,6 +18,8 @@ ARTICLE_B = """Tech industry leaders and economists are sounding the alarm over
 URL_A = "https://www.foxnews.com/live-news/trump-iran-israel-war-updates-march-30"
 URL_B = "https://edition.cnn.com/2026/03/30/world/live-news/iran-war-us-israel-trump"
 
+st.set_page_config(page_title="FrameVis | Media Framing", layout="wide")
+
 # Initialize the AI model
 GROQ_API_KEY = st.secrets.get("GROQ_API_KEY")
 
@@ -245,15 +247,15 @@ def check_contradiction(text_a: str, text_b: str) -> dict:
         print(f"Error in contradiction check: {e}")
         result = {}
     return {"relationship": result.get("relationship", "NEUTRAL"), "confidence": result.get("confidence", 0.0)}
-    
-
-# USER INTERFACE
-st.set_page_config(page_title="FrameVis | Media Framing", layout="wide")
 
-if not GROQ_API_KEY:
-    st.warning("Groq API Key Missing.")
-    st.stop()
+@st.cache_data(show_spinner=False)
+def get_cached_analysis(text: str) -> dict:
+    return analyze_article(text)
 
+@st.cache_data(show_spinner=False)
+def get_cached_contradiction(text_a: str, text_b: str) -> dict:
+    return check_contradiction(text_a, text_b)
+    
 st.markdown("""
 <style>
     #MainMenu {visibility: hidden;}
@@ -263,6 +265,7 @@ st.markdown("""
     .block-container {
         padding-top: 2rem;
         padding-bottom: 2rem;
+        max-width: 1200px;
     }
     
     [data-testid="stMetric"] {
@@ -282,7 +285,10 @@ st.markdown("""
     [data-testid="stMetricValue"] > div {
         color: #0f172a;
         font-weight: 700 !important;
-        font-size: 1.8rem !important; 
+        font-size: 1.5rem !important; 
+        white-space: normal !important; 
+        line-height: 1.2 !important; 
+        overflow-wrap: break-word; 
     }
     
     [data-testid="stMetricLabel"] > div {
@@ -346,9 +352,9 @@ if execute_analysis:
         with st.spinner("Analyzing both sources."):
             try:
                 with concurrent.futures.ThreadPoolExecutor() as executor:
-                    future_a = executor.submit(analyze_article, text_a_clean)
-                    future_b = executor.submit(analyze_article, text_b_clean)
-                    future_nli = executor.submit(check_contradiction, text_a_clean, text_b_clean)
+                    future_a = executor.submit(get_cached_analysis, text_a_clean)
+                    future_b = executor.submit(get_cached_analysis, text_b_clean)
+                    future_nli = executor.submit(get_cached_contradiction, text_a_clean, text_b_clean)
                     
                     st.session_state.results_a = future_a.result()
                     st.session_state.results_b = future_b.result()