Update app.py

app.py

@@ -327,13 +327,10 @@ def build_nav_html(l1_cur, l2_cur, l3_cur):
         show_dropdown = ""
 
         # Add emoji icons for main sections
-        icons = {
-            "Explore": "🚀",
-            "Help & Legal": "❓"
-        }
+        icons = {"Explore": "🚀", "Help & Legal": "❓"}
         icon = icons.get(label, "📁")
 
-        # For main tabs, allow both navigation and dropdown functionality  
+        # For main tabs, allow both navigation and dropdown functionality
         main_tab_href = href(label, None, None)  # Link to main tab overview
         item = [
             f'<li role="none" class="{show_dropdown}">'
@@ -370,13 +367,9 @@ def build_nav_html(l1_cur, l2_cur, l3_cur):
 
     for L1, L2 in MENU.items():
         parts.append(li_top(L1, L2))
-    
 
-    
     parts.append('</ul></div>')
-    
 
-    
     return "".join(parts)
 
 
@@ -445,6 +438,7 @@ def render_current_page():
             # Default fallback - show Key Insights as home page
             show_key_insights_page()
 
+
 def show_explore_overview():
     """Overview page for Explore section when no subtab is selected"""
     st.markdown("""
@@ -454,12 +448,13 @@ def show_explore_overview():
             Discover insights into how communities experience climate-related emotions through our data-driven platform.
         </div>
     </div>
-    """, unsafe_allow_html=True)
-    
+    """,
+                unsafe_allow_html=True)
+
     st.markdown("### Choose Your Path")
-    
+
     col1, col2 = st.columns(2)
-    
+
     with col1:
         st.markdown("""
         #### 💡 Key Insights
@@ -471,11 +466,11 @@ def show_explore_overview():
         - Research starting points
         - Presentation-ready statistics
         """)
-        
+
         if st.button("View Key Insights", use_container_width=True):
             st.query_params.update({"l1": "Explore", "l2": "Key Insights"})
             st.rerun()
-    
+
     with col2:
         st.markdown("""
         #### 📊 Interactive Dashboards
@@ -487,11 +482,12 @@ def show_explore_overview():
         - Custom analysis and filtering
         - Research and academic work
         """)
-        
+
         if st.button("Explore Dashboards", use_container_width=True):
             st.query_params.update({"l1": "Explore", "l2": "Dashboards"})
             st.rerun()
 
+
 def show_help_legal_overview():
     """Overview page for Help & Legal section when no subtab is selected"""
     st.markdown("""
@@ -501,123 +497,85 @@ def show_help_legal_overview():
             Find answers to your questions and understand the terms and limitations of using ClimateLens.
         </div>
     </div>
-    """, unsafe_allow_html=True)
-    
+    """,
+                unsafe_allow_html=True)
+
     st.markdown("### Available Resources")
-    
+
     col1, col2, col3 = st.columns(3)
-    
+
     with col1:
         st.markdown("""
         #### 🤝 Support & FAQs
         
         Get help with using the platform and find answers to common questions about our research methods.
         """)
-        
+
         if st.button("Get Support", use_container_width=True):
-            st.query_params.update({"l1": "Help & Legal", "l2": "Support/FAQs"})
+            st.query_params.update({
+                "l1": "Help & Legal",
+                "l2": "Support/FAQs"
+            })
             st.rerun()
-    
+
     with col2:
         st.markdown("""
         #### ⚠️ Disclaimer
         
         Important information about the research nature of this tool and its limitations.
         """)
-        
+
         if st.button("Read Disclaimer", use_container_width=True):
             st.query_params.update({"l1": "Help & Legal", "l2": "Disclaimer"})
             st.rerun()
-    
+
     with col3:
         st.markdown("""
         #### 📋 Terms of Use
         
         Legal terms and conditions for using the ClimateLens platform and data.
         """)
-        
+
         if st.button("View Terms", use_container_width=True):
-            st.query_params.update({"l1": "Help & Legal", "l2": "Terms of Use"})
+            st.query_params.update({
+                "l1": "Help & Legal",
+                "l2": "Terms of Use"
+            })
             st.rerun()
 
 
 # PAGE CONTENT FUNCTIONS
 # ClimateLens Page Functions
 
+
 def show_key_insights_page():
     """Key Insights from Current Data"""
     st.markdown("""
     <div class="content-section">
         <div class="section-title">🔍 Key Insights from Current Data</div>
         <div class="section-description">
-            Real-time insights into how communities are experiencing climate-related emotions across different demographics and regions.
+            Climate conversations online reveal not just facts and opinions, but the emotions people carry when talking about the future of our planet. Our analysis of recent discussions highlights several important insights.
         </div>
     </div>
-    """, unsafe_allow_html=True)
+    """,
+                unsafe_allow_html=True)
 
-    # Current emotional landscape metrics
-    col1, col2, col3 = st.columns(3)
+    st.markdown("""
+    ### Key Insights from Current Data
     
-    with col1:
-        st.metric("Gen Z Climate Anxiety", "67%", "↑ 12% this year")
-        st.caption("Ages 16-25: Highest levels but also highest action motivation")
+    **Climate anxiety is widespread:** Many people express worry, stress, or fear about the future, often tied to uncertainty about what can be done.
     
-    with col2:
-        st.metric("Boomer Climate Concern", "34%", "↑ 8% this year")
-        st.caption("Ages 65+: Growing awareness, focus on grandchildren's future")
+    **Hope and motivation still shine through:** Alongside anxiety, we also see voices of determination — calls for action, sharing solutions, and community support.
     
-    with col3:
-        st.metric("Mid-Career Hope", "45%", "↗ 5% this month")
-        st.caption("Ages 35-55: Increasing optimism about solutions")
-
-    st.markdown("### Current Emotional Trends by Generation")
+    **Different groups focus on different concerns:** Some emphasize policy and global decisions, while others focus on personal responsibility or lifestyle changes.
     
-    trend_col1, trend_col2 = st.columns(2)
+    **Emotions are mixed, not one-dimensional:** It's common to see comments that are both worried and hopeful, or frustrated yet motivated.
     
-    with trend_col1:
-        st.markdown("""
-        **Students (16-22):** 
-        - High anxiety but coupled with determination
-        - Seeking peer support and actionable solutions
-        - Strong interest in climate justice movements
-        
-        **Young Professionals (23-35):**
-        - Balancing career stress with climate concern
-        - Looking for workplace mental health resources
-        - Interest in sustainable lifestyle choices
-        """)
+    **Community plays a big role:** Many express that talking, sharing, and organizing with others helps balance the heavy emotions around climate change.
     
-    with trend_col2:
-        st.markdown("""
-        **Mid-Career (36-55):**
-        - Concerned about children's future
-        - Seeking family-oriented coping strategies
-        - Interest in community-based solutions
-        
-        **Experienced Adults (55+):**
-        - Processing legacy and responsibility feelings
-        - Wanting to mentor younger generations
-        - Focus on policy and systemic change
-        """)
+    Together, these insights show a picture that is both challenging and inspiring: the emotional weight of climate change is real, but so are the collective voices searching for solutions and connection.
+    """)
 
-    st.markdown("### Real Impact Stories")
-    
-    impact_col1, impact_col2, impact_col3 = st.columns(3)
-    
-    with impact_col1:
-        st.markdown("""
-        **Recent Success:** A high school in California used our data to develop peer support groups, reducing climate anxiety by 40% in participating students.
-        """)
-    
-    with impact_col2:
-        st.markdown("""
-        **Community Win:** Retirement community in Florida created intergenerational climate discussions, improving hope scores across all age groups.
-        """)
-    
-    with impact_col3:
-        st.markdown("""
-        **Professional Growth:** 200+ therapists completed our climate psychology training this month, expanding access to specialized care.
-        """)
 
 def show_dashboards_page():
     """Comprehensive Dashboards page with Topics and Sentiments tabs"""
@@ -628,32 +586,35 @@ def show_dashboards_page():
             This section lets you explore the conversations and feelings around climate anxiety. Think of it as moving from the headline to the full story. Use the Topics tab to see what people are talking about, and the Sentiments tab to understand how they feel.
         </div>
     </div>
-    """, unsafe_allow_html=True)
+    """,
+                unsafe_allow_html=True)
 
     # Introduction & Guide Section
     with st.expander("📖 Introduction & Guide"):
         st.markdown("""
         This section lets you explore the conversations and feelings around climate anxiety. Think of it as moving from the headline to the full story. Use the Topics tab to see what people are talking about, and the Sentiments tab to understand how they feel.
         """)
-    
+
     with st.expander("🔧 Understanding the Data Visualization Tools"):
         st.markdown("""
         Each tool shows the same conversations from a different angle. Some focus on what people discuss (topics), others on how they feel (sentiments). Together, they offer a fuller picture.
         """)
-    
+
     with st.expander("📋 How to Use This Dashboard"):
         st.markdown("""
         Start with the Barchart or Intertopic Map to see the main conversations. Use the Heatmap and Hierarchy to explore connections and branches. Then open the Sentiments tab to check the feelings behind the words. You don't need to view everything—follow your curiosity.
         """)
-    
-    st.markdown("### Pick a view and start exploring. You can switch tabs and charts anytime.")
-    
+
+    st.markdown(
+        "### Pick a view and start exploring. You can switch tabs and charts anytime."
+    )
+
     # Main tabs: Topics and Sentiments
     topics_tab, sentiments_tab = st.tabs(["📊 Topics", "🎭 Sentiments"])
-    
+
     with topics_tab:
         show_topics_section()
-    
+
     with sentiments_tab:
         show_sentiments_section()
 
@@ -663,12 +624,12 @@ def list_files_in_directory(directory, extensions):
     """List files in directory with specified extensions"""
     if not os.path.exists(directory):
         return []
-    
+
     files = []
     for ext in extensions:
         pattern = os.path.join(directory, f"*.{ext}")
         files.extend(glob.glob(pattern))
-    
+
     return [os.path.basename(f) for f in files]
 
 
@@ -692,7 +653,7 @@ def categorize_html_files(files):
         'barchart': [],
         'hierarchy': []
     }
-    
+
     for file in files:
         filename_lower = file.lower()
         if 'intertopic' in filename_lower:
@@ -703,7 +664,7 @@ def categorize_html_files(files):
             categories['barchart'].append(file)
         elif 'hierarchy' in filename_lower or 'tree' in filename_lower:
             categories['hierarchy'].append(file)
-    
+
     return categories
 
 
@@ -712,17 +673,17 @@ def render_html_visualization(file_path, explanation):
     if not os.path.exists(file_path):
         st.error(f"File not found: {file_path}")
         return
-    
+
     # Show explanation
     st.markdown(explanation)
-    
+
     try:
         with open(file_path, 'r', encoding='utf-8') as f:
             html_content = f.read()
-        
+
         # Render HTML
         components.html(html_content, height=800, scrolling=True)
-        
+
     except Exception as e:
         st.error(f"Error loading visualization: {str(e)}")
 
@@ -732,10 +693,10 @@ def render_image_visualization(file_path, explanation):
     if not os.path.exists(file_path):
         st.error(f"File not found: {file_path}")
         return
-    
+
     # Show explanation
     st.markdown(explanation)
-    
+
     try:
         st.image(file_path, use_container_width=True)
     except Exception as e:
@@ -745,85 +706,115 @@ def render_image_visualization(file_path, explanation):
 def show_topics_section():
     """Display Topics section with sub-tabs"""
     st.markdown("### Available Visualizations")
-    
+
     # Add refresh button
     if st.button("🔄 Refresh Files", key="refresh_topics"):
         st.rerun()
-    
+
     # Get HTML files from interactives directory
-    html_files = list_files_in_directory("visualizations/interactives", ["html"])
-    
+    html_files = list_files_in_directory("visualizations/interactives",
+                                         ["html"])
+
     if not html_files:
-        st.info("No visualizations found yet. Visualizations will appear here once data is processed.")
+        st.info(
+            "No visualizations found yet. Visualizations will appear here once data is processed."
+        )
         return
-    
+
     # Categorize files
     categorized = categorize_html_files(html_files)
-    
+
     # Create sub-tabs
-    intertopic_tab, heatmap_tab, barchart_tab, hierarchy_tab = st.tabs([
-        "🔵 Intertopic Map ⓘ", 
-        "🔥 Heatmap ⓘ", 
-        "📊 Barchart ⓘ", 
-        "🌳 Hierarchy ⓘ"
-    ])
-    
+    intertopic_tab, heatmap_tab, barchart_tab, hierarchy_tab = st.tabs(
+        ["🔵 Intertopic Map ⓘ", "🔥 Heatmap ⓘ", "📊 Barchart ⓘ", "🌳 Hierarchy ⓘ"])
+
     with intertopic_tab:
-        st.markdown("**What it shows:** Topics as bubbles on a map. Bubbles close together mean the conversations are similar; far apart means they're different.")
-        st.markdown("**Why it matters:** Quickly spot clusters of related themes (for example, 'policy and activism').")
-        
+        st.markdown(
+            "**What it shows:** Topics as bubbles on a map. Bubbles close together mean the conversations are similar; far apart means they're different."
+        )
+        st.markdown(
+            "**Why it matters:** Quickly spot clusters of related themes (for example, 'policy and activism')."
+        )
+
         files = categorized['intertopic']
         if not files:
             files = html_files  # Fallback to all files
-            
+
         if files:
-            selected_file = st.selectbox("Choose visualization:", files, format_func=prettify_filename, key="intertopic_select")
-            file_path = os.path.join("visualizations/interactives", selected_file)
+            selected_file = st.selectbox("Choose visualization:",
+                                         files,
+                                         format_func=prettify_filename,
+                                         key="intertopic_select")
+            file_path = os.path.join("visualizations/interactives",
+                                     selected_file)
             render_html_visualization(file_path, "")
         else:
             st.info("No intertopic distance maps found.")
-    
+
     with heatmap_tab:
-        st.markdown("**What it shows:** A grid where stronger colors mean stronger links between topics.")
-        st.markdown("**Why it matters:** Reveals which themes often appear together.")
-        
+        st.markdown(
+            "**What it shows:** A grid where stronger colors mean stronger links between topics."
+        )
+        st.markdown(
+            "**Why it matters:** Reveals which themes often appear together.")
+
         files = categorized['heatmap']
         if not files:
             files = html_files
-            
+
         if files:
-            selected_file = st.selectbox("Choose visualization:", files, format_func=prettify_filename, key="heatmap_select")
-            file_path = os.path.join("visualizations/interactives", selected_file)
+            selected_file = st.selectbox("Choose visualization:",
+                                         files,
+                                         format_func=prettify_filename,
+                                         key="heatmap_select")
+            file_path = os.path.join("visualizations/interactives",
+                                     selected_file)
             render_html_visualization(file_path, "")
         else:
             st.info("No heatmap visualizations found.")
-    
+
     with barchart_tab:
-        st.markdown("**What it shows:** A ranking of topics by size—how much people talk about each one.")
-        st.markdown("**Why it matters:** See which conversations dominate the climate anxiety space.")
-        
+        st.markdown(
+            "**What it shows:** A ranking of topics by size—how much people talk about each one."
+        )
+        st.markdown(
+            "**Why it matters:** See which conversations dominate the climate anxiety space."
+        )
+
         files = categorized['barchart']
         if not files:
             files = html_files
-            
+
         if files:
-            selected_file = st.selectbox("Choose visualization:", files, format_func=prettify_filename, key="barchart_select")
-            file_path = os.path.join("visualizations/interactives", selected_file)
+            selected_file = st.selectbox("Choose visualization:",
+                                         files,
+                                         format_func=prettify_filename,
+                                         key="barchart_select")
+            file_path = os.path.join("visualizations/interactives",
+                                     selected_file)
             render_html_visualization(file_path, "")
         else:
             st.info("No barchart visualizations found.")
-    
+
     with hierarchy_tab:
-        st.markdown("**What it shows:** A tree that splits broad themes into smaller branches.")
-        st.markdown("**Why it matters:** Understand how big ideas break into specific concerns.")
-        
+        st.markdown(
+            "**What it shows:** A tree that splits broad themes into smaller branches."
+        )
+        st.markdown(
+            "**Why it matters:** Understand how big ideas break into specific concerns."
+        )
+
         files = categorized['hierarchy']
         if not files:
             files = html_files
-            
+
         if files:
-            selected_file = st.selectbox("Choose visualization:", files, format_func=prettify_filename, key="hierarchy_select")
-            file_path = os.path.join("visualizations/interactives", selected_file)
+            selected_file = st.selectbox("Choose visualization:",
+                                         files,
+                                         format_func=prettify_filename,
+                                         key="hierarchy_select")
+            file_path = os.path.join("visualizations/interactives",
+                                     selected_file)
             render_html_visualization(file_path, "")
         else:
             st.info("No hierarchy visualizations found.")
@@ -832,63 +823,104 @@ def show_topics_section():
 def show_sentiments_section():
     """Display Sentiments section with sub-tabs"""
     st.markdown("### Sentiment Analysis Visualizations")
-    
+
     # Add refresh button
     if st.button("🔄 Refresh Files", key="refresh_sentiments"):
         st.rerun()
-    
+
     # Create sub-tabs
     distribution_tab, histograms_tab, violins_tab = st.tabs([
-        "📊 Distribution", 
-        "📈 Probability - Histograms", 
+        "📊 Distribution", "📈 Probability - Histograms",
         "🎻 Probability - Violins"
     ])
-    
+
     with distribution_tab:
-        st.markdown("**What it shows:** The overall balance of positive, neutral, and negative feelings.")
-        st.markdown("**Why it matters:** A quick snapshot of the general mood.")
-        
+        st.markdown(
+            "**What it shows:** The overall balance of positive, neutral, and negative feelings."
+        )
+        st.markdown(
+            "**Why it matters:** A quick snapshot of the general mood.")
+
         # Get PNG files from sentiment distribution directory
-        png_files = list_files_in_directory("visualizations/sentiment_insights/sentiment_distribution", ["png", "jpg", "jpeg"])
-        
+        png_files = list_files_in_directory(
+            "visualizations/sentiment_insights/sentiment_distribution",
+            ["png", "jpg", "jpeg"])
+
         if png_files:
-            selected_file = st.selectbox("Choose visualization:", png_files, format_func=prettify_filename, key="distribution_select")
-            file_path = os.path.join("visualizations/sentiment_insights/sentiment_distribution", selected_file)
+            selected_file = st.selectbox("Choose visualization:",
+                                         png_files,
+                                         format_func=prettify_filename,
+                                         key="distribution_select")
+            file_path = os.path.join(
+                "visualizations/sentiment_insights/sentiment_distribution",
+                selected_file)
             render_image_visualization(file_path, "")
         else:
             st.info("No sentiment distribution visualizations found yet.")
-    
+
     with histograms_tab:
-        st.markdown("**What it shows:** For each emotion label (positive/neutral/negative), a histogram shows how many messages fall into each 'confidence' level.")
-        st.markdown("**Why it's useful:** Helps you see how certain or uncertain the system is. If many messages sit in the middle, feelings are mixed; if most are at the high end, the labeling is confident.")
-        
+        st.markdown(
+            "**What it shows:** For each emotion label (positive/neutral/negative), a histogram shows how many messages fall into each 'confidence' level."
+        )
+        st.markdown(
+            "**Why it's useful:** Helps you see how certain or uncertain the system is. If many messages sit in the middle, feelings are mixed; if most are at the high end, the labeling is confident."
+        )
+
         # Get image files from sentiment probability histograms directory
-        hist_files = list_files_in_directory("visualizations/sentiment_insights/sentiment_probability_histograms", ["png", "jpg", "jpeg"])
-        
+        hist_files = list_files_in_directory(
+            "visualizations/sentiment_insights/sentiment_probability_histograms",
+            ["png", "jpg", "jpeg"])
+
         if hist_files:
-            selected_file = st.selectbox("Choose visualization:", hist_files, format_func=prettify_filename, key="histograms_select")
-            file_path = os.path.join("visualizations/sentiment_insights/sentiment_probability_histograms", selected_file)
+            selected_file = st.selectbox("Choose visualization:",
+                                         hist_files,
+                                         format_func=prettify_filename,
+                                         key="histograms_select")
+            file_path = os.path.join(
+                "visualizations/sentiment_insights/sentiment_probability_histograms",
+                selected_file)
             render_image_visualization(file_path, "")
         else:
-            st.info("No sentiment probability histogram visualizations found yet.")
-    
+            st.info(
+                "No sentiment probability histogram visualizations found yet.")
+
     with violins_tab:
-        st.markdown("**What it shows:** For each emotion label, a violin plot shows the shape of the confidence scores (where they bunch up, spread out, or have multiple peaks).")
-        st.markdown("**Why it's useful:** Makes it easy to spot uncertainty and overlap between emotions. For example, if negative and neutral have similar shapes, people may be expressing worry without being strongly negative.")
-        
+        st.markdown(
+            "**What it shows:** For each emotion label, a violin plot shows the shape of the confidence scores (where they bunch up, spread out, or have multiple peaks)."
+        )
+        st.markdown(
+            "**Why it's useful:** Makes it easy to spot uncertainty and overlap between emotions. For example, if negative and neutral have similar shapes, people may be expressing worry without being strongly negative."
+        )
+
         # Get image files from sentiment probability violins directory
-        violin_files = list_files_in_directory("visualizations/sentiment_insights/sentiment_probability_violins", ["png", "jpg", "jpeg"])
-        
+        violin_files = list_files_in_directory(
+            "visualizations/sentiment_insights/sentiment_probability_violins",
+            ["png", "jpg", "jpeg"])
+
         if violin_files:
-            selected_file = st.selectbox("Choose visualization:", violin_files, format_func=prettify_filename, key="violins_select")
-            file_path = os.path.join("visualizations/sentiment_insights/sentiment_probability_violins", selected_file)
+            selected_file = st.selectbox("Choose visualization:",
+                                         violin_files,
+                                         format_func=prettify_filename,
+                                         key="violins_select")
+            file_path = os.path.join(
+                "visualizations/sentiment_insights/sentiment_probability_violins",
+                selected_file)
             render_image_visualization(file_path, "")
         else:
-            st.info("No sentiment probability violin visualizations found yet.")
+            st.info(
+                "No sentiment probability violin visualizations found yet.")
 
 
 def show_support_page():
     """Support and FAQs"""
+    # Add Google Form button at the very top
+    st.markdown("### 💬 Share Your Feedback")
+    st.link_button("Submit Feedback",
+                   "https://forms.gle/o7QQBZNijJo9E76E7",
+                   use_container_width=True)
+
+    st.markdown("---")
+
     st.markdown("""
     <div class="content-section">
         <div class="section-title">❓ Support & FAQs</div>
@@ -896,20 +928,23 @@ def show_support_page():
             Get help using ClimateLens and find answers to common questions.
         </div>
     </div>
-    """, unsafe_allow_html=True)
-    
+    """,
+                unsafe_allow_html=True)
+
     st.markdown("### Frequently Asked Questions")
-    
+
     with st.expander("1) What will your tool not do?"):
         st.markdown("""
         It won't run live surveillance or score individual youth in real time. And it won't auto-prescribe personalized interventions. Those are explicitly out-of-scope for this phase.
         """)
-    
-    with st.expander("2) If it doesn't flag individuals, what does a counselor actually see?"):
+
+    with st.expander(
+            "2) If it doesn't flag individuals, what does a counselor actually see?"
+    ):
         st.markdown("""
         A visual dashboard of aggregate themes and interpretable signals (e.g., prevalent concerns, representative phrases), with an interface to explore how a prediction was made; KHP designs the human intervention guidance that sits beside these insights.
         """)
-    
+
     with st.expander("3) What counts as a 'good' model here?"):
         st.markdown("""
         Not just accuracy. We'll judge success on:
@@ -917,37 +952,40 @@ def show_support_page():
         - (b) interpretability: clear linguistic cues you can inspect, and
         - (c) fairness across subgroups.
         """)
-    
+
     with st.expander("4) Where does the data come from and do youth consent?"):
         st.markdown("""
         Phase I uses open-source, climate-related text. Phase II contemplates anonymized/de-identified Kids Help Phone transcripts that are used only after de-identification and governance review.
         """)
-    
-    with st.expander("5) How do you keep the system from drifting or getting brittle over time (slang, memes, shifts)?"):
+
+    with st.expander(
+            "5) How do you keep the system from drifting or getting brittle over time (slang, memes, shifts)?"
+    ):
         st.markdown("""
         We treat this like a living system: evaluate routinely, watch for distribution shift, and use human-in-the-loop review to update lexicons/models when new patterns appear. The lifecycle includes explicit monitoring and testing for changes.
         """)
-    
+
     with st.expander("6) Could this be biased against certain groups?"):
         st.markdown("""
         Bias risk is real. We address it by measuring subgroup performance, requiring interpretable rationales (so reviewers can spot skewed cues), and baking fairness checks into testing alongside clear documentation of limits.
         """)
-    
+
     with st.expander("7) Will this replace counselors?"):
         st.markdown("""
         No. It's decision support, not decision maker. The deliverables include an interpretable model + UI meant to surface patterns and speed human judgment. KHP leads on intervention strategy and practice.
         """)
-    
+
     with st.expander("8) What happens when the model is wrong?"):
         st.markdown("""
         We plan for error. Baselines and evaluation tests are set up to catch regressions; the UI shows why a prediction happened; and there's a human feedback loop to correct mistakes and refine the system.
         """)
-    
-    with st.expander("9) Can communities reuse this without heavy ML expertise?"):
+
+    with st.expander(
+            "9) Can communities reuse this without heavy ML expertise?"):
         st.markdown("""
         Yes! Code and models are released with usage guidelines, and the interface ships with built-in visualizations so non-technical teams can explore results safely and meaningfully.
         """)
-    
+
     st.markdown("### For Mental Health Professionals")
     st.markdown("""
     If you are a licensed psychologist, counselor, or other mental health professional:
@@ -957,12 +995,12 @@ def show_support_page():
     - Follow your profession's ethical guidelines regarding use of research tools and data
     - Seek appropriate training if you plan to incorporate climate psychology research into your practice
     """)
-    
+
     st.markdown("### Questions or Concerns")
     st.markdown("""
     For questions about appropriate use, data sources, or research methodology, please contact the project team through programs@crcgreen.com
     """)
-    
+
     st.markdown("### Help Us Improve ClimateLens")
     st.markdown("""
     Your feedback helps us improve the platform for everyone. Share your experience, suggest features, or report issues.
@@ -970,6 +1008,7 @@ def show_support_page():
     [💬 Submit Feedback via Google Form](https://forms.gle/o7QQBZNijJo9E76E7)
     """)
 
+
 def show_disclaimer_page():
     """Disclaimer"""
     st.markdown("""
@@ -979,8 +1018,9 @@ def show_disclaimer_page():
             Important information about using ClimateLens data and platform.
         </div>
     </div>
-    """, unsafe_allow_html=True)
-    
+    """,
+                unsafe_allow_html=True)
+
     st.markdown("""
     ### Research and Educational Purposes Only
     
@@ -1003,6 +1043,7 @@ def show_disclaimer_page():
     This project is open source and provided "as is" without warranties of any kind, either express or implied. The developers make no guarantees regarding the accuracy, completeness, reliability, or fitness for any particular purpose.
     """)
 
+
 def show_terms_page():
     """Terms of Use"""
     st.markdown("""
@@ -1012,8 +1053,9 @@ def show_terms_page():
             Terms and conditions for using the ClimateLens platform.
         </div>
     </div>
-    """, unsafe_allow_html=True)
-    
+    """,
+                unsafe_allow_html=True)
+
     st.markdown("""
     ### Scope of Acceptable Use
     
@@ -1071,5 +1113,6 @@ def show_terms_page():
     *Last updated: August 2025*
     """)
 
+
 if __name__ == "__main__":
     main()