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@@ -489,18 +489,6 @@ def get_trending_searches(country='united_states'):
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logger.error(f"Error getting trending searches: {e}")
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return pd.DataFrame()
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def display_trending_searches(trending_df):
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"""Display trending searches in the UI."""
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if trending_df.empty:
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st.info("No trending searches data available.")
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return
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st.subheader("📊 Trending Searches")
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# Display as numbered list with emojis
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for idx, search in enumerate(trending_df[0].head(10), 1):
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st.write(f"{idx}. 🔍 {search}")
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def get_realtime_trends(country='US'):
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"""Get realtime trending searches for a specific country."""
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try:
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@@ -509,45 +497,4 @@ def get_realtime_trends(country='US'):
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return realtime_trends
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except Exception as e:
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logger.error(f"Error getting realtime trends: {e}")
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return pd.DataFrame()
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def display_realtime_trends(trends_df):
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"""Display realtime trending searches in the UI."""
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if trends_df.empty:
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st.info("No realtime trends data available.")
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return
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st.subheader("⚡ Realtime Trends")
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# Create tabs for different categories
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if not trends_df.empty:
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# Display top 5 trends with their titles and articles
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for _, row in trends_df.head(5).iterrows():
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with st.expander(f"🔥 {row.get('title', 'Trending Topic')}"):
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st.write(f"**Traffic:** {row.get('traffic', 'N/A')}")
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if 'articles' in row:
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st.write("📰 Related Articles:")
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for article in row['articles'][:3]: # Show top 3 articles
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st.write(f"- {article['title']}")
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def display_google_trends_data(trends_data, search_keyword):
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# ... existing code ...
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# Create tabs for different sections
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tab1, tab2, tab3, tab4, tab5, tab6 = st.tabs([
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"Related Keywords",
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"Interest Over Time",
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"Regional Interest",
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"Related Queries",
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"Related Topics",
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"Trending Now"
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])
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# ... existing tab code ...
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with tab6:
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col1, col2 = st.columns(2)
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with col1:
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display_trending_searches(trends_data.get('trending_searches', pd.DataFrame()))
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with col2:
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display_realtime_trends(trends_data.get('realtime_trends', pd.DataFrame()))
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return pd.DataFrame()
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@@ -340,6 +340,39 @@ def display_related_queries(queries_df):
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st.error(f"Error displaying related queries: {str(e)}")
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logger.error(f"Error in display_related_queries: {e}")
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def display_trending_searches(trending_df):
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"""Display trending searches in the UI."""
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if trending_df.empty:
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st.info("No trending searches data available.")
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return
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st.subheader("📊 Trending Searches")
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# Display as numbered list with emojis
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for idx, search in enumerate(trending_df[0].head(10), 1):
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st.write(f"{idx}. 🔍 {search}")
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def display_realtime_trends(trends_df):
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"""Display realtime trending searches in the UI."""
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if trends_df.empty:
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st.info("No realtime trends data available.")
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return
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st.subheader("⚡ Realtime Trends")
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# Create tabs for different categories
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if not trends_df.empty:
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# Display top 5 trends with their titles and articles
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for _, row in trends_df.head(5).iterrows():
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with st.expander(f"🔥 {row.get('title', 'Trending Topic')}"):
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st.write(f"**Traffic:** {row.get('traffic', 'N/A')}")
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if 'articles' in row:
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st.write("📰 Related Articles:")
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for article in row['articles'][:3]: # Show top 3 articles
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st.write(f"- {article['title']}")
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def display_related_topics(topics_df):
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"""Display related topics in a structured format."""
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if topics_df.empty:
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