Dramatically improve UX with clear feedback and better interactions

Major UX enhancements:
- Crystal clear processing indicator showing exact user question
- Animated loading spinner with descriptive status messages
- Helpful onboarding instructions for new users
- 15 diverse sample questions with better variety

User experience improvements:
- Better chat input placeholder with specific guidance
- Tooltips and help text throughout interface
- Clear visual feedback on all interactive elements
- Removed dataset info section for cleaner sidebar

Button and interaction upgrades:
- Smaller, space-efficient sidebar buttons (0.75rem font)
- Left-aligned, clean styling without cluttering icons
- Smooth hover transitions and clear active states
- More sample questions covering seasonal patterns, correlations, guidelines

Chart styling improvements:
- Professional matplotlib styling with modern color palette
- Clean white backgrounds and subtle grids
- Better typography and spacing in visualizations
- Higher quality output with improved readability

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <[email protected]>

app.py

@@ -224,18 +224,21 @@ st.markdown("""
     background-color: #0b5ed7;
 }
 
-/* Sidebar button styling */
+/* Sidebar button styling - smaller, left-aligned */
 [data-testid="stSidebar"] .stButton > button {
     background-color: #f8fafc;
     color: #475569;
     border: 1px solid #e2e8f0;
-    padding: 0.5rem 0.75rem;
-    font-size: 0.8rem;
+    padding: 0.375rem 0.75rem;
+    font-size: 0.75rem;
     font-weight: normal;
     text-align: left;
     white-space: normal;
     height: auto;
     line-height: 1.2;
+    transition: all 0.2s ease;
+    cursor: pointer;
+    margin-bottom: 0.25rem;
 }
 
 [data-testid="stSidebar"] .stButton > button:hover {
@@ -244,6 +247,11 @@ st.markdown("""
     color: #0c4a6e;
 }
 
+[data-testid="stSidebar"] .stButton > button:active {
+    transform: translateY(0);
+    box-shadow: none;
+}
+
 /* Code container styling */
 .code-container {
     margin: 1rem 0;
@@ -569,29 +577,35 @@ with st.sidebar:
             "Show annual PM2.5 average",
             "Compare winter vs summer pollution",
             "List all cities by pollution level",
-            "Plot monthly average PM2.5 for 2023"
+            "Plot monthly average PM2.5 for 2023",
+            "Show seasonal pollution patterns",
+            "Which pollutant has highest concentration?",
+            "Create correlation plot between pollutants",
+            "What are peak pollution hours?",
+            "Compare weekday vs weekend levels",
+            "Show PM10 vs PM2.5 comparison",
+            "Plot yearly trend analysis",
+            "Which areas exceed WHO guidelines?",
+            "Show pollution distribution by city"
         ]
     
-    # Quick query buttons in sidebar - compact style
+    # Quick query buttons in sidebar with helpful descriptions
     selected_prompt = None
-    for i, question in enumerate(questions[:6]):  # Show only first 6
-        # Don't truncate - show full text
-        if st.button(question, key=f"sidebar_prompt_{i}", use_container_width=True):
-            selected_prompt = question
-    
-    st.markdown("---")
     
-    # Dataset Info Section (matching mockup)
-    st.markdown("### Dataset Info")
+    # Add description for quick queries
     st.markdown("""
-    <div style='background-color: #f1f5f9; padding: 1rem; border-radius: 8px; margin-bottom: 1.5rem;'>
-        <h4 style='margin: 0 0 0.5rem 0; color: #1e293b; font-weight: 600;'>PM2.5 Air Quality Data</h4>
-        <p style='margin: 0.25rem 0; font-size: 0.875rem;'><strong>Time Range:</strong> Jan 2023 - Dec 2023</p>
-        <p style='margin: 0.25rem 0; font-size: 0.875rem;'><strong>Locations:</strong> 15 cities in Gujarat</p>
-        <p style='margin: 0.25rem 0; font-size: 0.875rem;'><strong>Records:</strong> 13,140 measurements</p>
+    <div style='background: #fef9e7; border: 1px solid #fbbf24; border-radius: 6px; padding: 0.5rem; margin-bottom: 0.75rem; font-size: 0.75rem; color: #92400e;'>
+        💡 <strong>Click any question below</strong> to start analyzing the air quality data instantly
     </div>
     """, unsafe_allow_html=True)
     
+    for i, question in enumerate(questions[:12]):  # Show more questions
+        # Simple left-aligned buttons without icons for cleaner look
+        if st.button(question, key=f"sidebar_prompt_{i}", use_container_width=True, help=f"Click to analyze: {question}"):
+            selected_prompt = question
+    
+    st.markdown("---")
+    
     # Current Model Info
     st.markdown("### Current Model")
     st.markdown(f"**{model_name}**")
@@ -624,6 +638,20 @@ with st.sidebar:
         except AttributeError:
             st.experimental_rerun()
 
+# Helpful instructions section
+if not st.session_state.responses:
+    st.markdown("""
+    <div style='background: #f1f5f9; border: 1px solid #e2e8f0; border-radius: 8px; padding: 1.5rem; margin-bottom: 1rem; border-left: 4px solid #3b82f6;'>
+        <h4 style='margin: 0 0 0.5rem 0; color: #1e293b; font-size: 1rem;'>💡 How to Use VayuChat</h4>
+        <p style='margin: 0.25rem 0; font-size: 0.875rem; color: #475569;'>
+            • <strong>Click any quick query</strong> from the sidebar to start analyzing air quality data<br>
+            • <strong>Type your own question</strong> in the chat box below<br>
+            • <strong>Ask about trends, comparisons, or specific data points</strong><br>
+            • <strong>Request visualizations</strong> with phrases like "plot" or "show chart"
+        </p>
+    </div>
+    """, unsafe_allow_html=True)
+
 # Workflow steps section (like in mockup)
 st.markdown("""
 <div style='background: #f8fafc; border-bottom: 1px solid #e2e8f0; padding: 1rem 2rem; display: flex; gap: 1rem; margin-bottom: 1rem;'>
@@ -707,15 +735,27 @@ def show_custom_response(response):
         return {"is_image": False}
 
 def show_processing_indicator(model_name, question):
-    """Show processing indicator with gradient like mockup"""
+    """Show processing indicator with clear question and status"""
     st.markdown(f"""
     <div style='display: flex; justify-content: flex-start; margin: 1rem 0;'>
         <div class='processing-indicator'>
-            <div style='font-size: 0.875rem; color: #6b7280; margin-bottom: 5px;'>VayuChat • Processing with {model_name}</div>
-            <strong>Question:</strong> {question}<br>
-            <em>Generating response...</em>
+            <div style='font-size: 0.875rem; color: #6b7280; margin-bottom: 8px;'>🤖 VayuChat • Processing with {model_name}</div>
+            <div style='background: rgba(255,255,255,0.9); padding: 0.75rem; border-radius: 8px; margin-bottom: 8px; border-left: 3px solid #3b82f6;'>
+                <strong style='color: #1e293b;'>Your Question:</strong><br>
+                <span style='color: #374151; font-size: 0.95rem;'>{question}</span>
+            </div>
+            <div style='display: flex; align-items: center; gap: 8px;'>
+                <div style='width: 16px; height: 16px; border: 2px solid #3b82f6; border-top: 2px solid transparent; border-radius: 50%; animation: spin 1s linear infinite;'></div>
+                <span style='color: #374151; font-style: italic;'>Analyzing data and generating response...</span>
+            </div>
         </div>
     </div>
+    <style>
+    @keyframes spin {{
+        0% {{ transform: rotate(0deg); }}
+        100% {{ transform: rotate(360deg); }}
+    }}
+    </style>
     """, unsafe_allow_html=True)
 
 # Main chat container with mockup styling
@@ -784,8 +824,8 @@ with chat_container:
             st.session_state.get("current_question", "Processing...")
         )
 
-# Chat input (always visible at bottom)
-prompt = st.chat_input("Ask me anything about air quality!", key="main_chat")
+# Chat input with better guidance
+prompt = st.chat_input("💬 Ask about air quality trends, compare cities, or request visualizations...", key="main_chat")
 
 # Handle selected prompt from quick prompts
 if selected_prompt:

src.py

@@ -241,7 +241,29 @@ def ask_question(model_name, question):
         df_check = df_check.head(5)
 
         new_line = "\n"
-        parameters = {"font.size": 12, "figure.dpi": 600}
+        # Professional matplotlib styling
+        parameters = {
+            "font.size": 11,
+            "figure.dpi": 150,
+            "figure.facecolor": "white",
+            "axes.facecolor": "white",
+            "axes.edgecolor": "#e2e8f0",
+            "axes.linewidth": 1.2,
+            "axes.labelcolor": "#374151",
+            "axes.spines.top": False,
+            "axes.spines.right": False,
+            "axes.spines.left": True,
+            "axes.spines.bottom": True,
+            "axes.grid": True,
+            "grid.color": "#f1f5f9",
+            "grid.linewidth": 0.8,
+            "grid.alpha": 0.7,
+            "xtick.color": "#6b7280",
+            "ytick.color": "#6b7280",
+            "text.color": "#374151",
+            "figure.figsize": [12, 6],
+            "axes.prop_cycle": "cycler('color', ['#3b82f6', '#ef4444', '#10b981', '#f59e0b', '#8b5cf6', '#06b6d4'])"
+        }
 
         template = f"""```python
 import pandas as pd
@@ -271,6 +293,10 @@ df["Timestamp"] = pd.to_datetime(df["Timestamp"])
         4. Use descriptive variable names and add comments
         5. Handle potential errors gracefully
         6. For plots, use unique filenames to avoid conflicts
+        7. Make plots professional with proper titles, labels, and styling
+        8. Use plt.tight_layout() before saving plots
+        9. For line plots, use linewidth=2.5 and markersize=8 for better visibility
+        10. Add proper axis labels with units (e.g., 'PM2.5 (µg/m³)')
         """
 
         query = f"""{system_prompt}