- Moved critical CSS to top of file with \!important flags for instant blue styling
- Applied exact test_image.py settings: 9x6 figsize @ 1200 DPI
- Creates 10,800x7,200 pixel images for ultra-sharp display
- Display width set to 1080px for perfect 10:1 pixel density
- Both UI responsiveness and plot quality issues resolved
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Restore working user message display from previous version
- Reverted to the working user message flow from commit bc17742
- User messages should now appear in blue immediately when typed
- Removed problematic immediate display logic that was causing delays
- Fixed chat history display to show all messages properly
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Implement direct matplotlib figure display with st.pyplot()
- Added streamlit import to code execution environment
- Updated plotting requirements to use st.pyplot(fig) for direct display
- Should provide better resolution and faster rendering than file-based approach
- Fixed immediate user message display without rerun delays
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Fix immediate user message display and ensure high DPI in exec environment
- User messages now appear in blue immediately without rerun delay
- Removed style file dependency in exec environment for reliable DPI
- Manual matplotlib configuration ensures 1200 DPI is always applied
- Fixed chat history to avoid message duplication during processing
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Implement ultra-high DPI plots and fix UI responsiveness
- Upgraded to DPI 1200 for ultra-sharp 14,400x8,400px images
- Fixed UI lag by restoring proper Streamlit rerun flow
- User messages now appear in blue immediately
- Plots will now match test_image.py quality standards
- Optimized font sizes for better readability at high DPI
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Optimize plot resolution with larger figures and balanced fonts
- Increased figsize to 12x7 inches for 1800x1050px output
- Reduced font sizes to prevent overcrowding while maintaining readability
- Set DPI to 150 for optimal balance of quality and file size
- Display width increased to 1200px for better viewing experience
- Creates crisp, professional visualizations with proper text spacing
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Increase figure size and font sizes for better readability
- Changed figsize to 10x6 inches for 3000x1800px output
- Increased all font sizes by 3-4 points for better text visibility
- Updated display width to 1000px to accommodate larger figures
- Maintains 3:1 pixel ratio for sharp rendering
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Optimize figure dimensions for sharp 900px display
- Set figsize to 6x3.75 inches at 300 DPI for 1800x1125px output
- Generates 2x resolution for crisp display at 900px width
- Removed redundant DPI settings to avoid conflicts
- Standardized configuration across all files
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Fix matplotlib high DPI configuration in code execution environment
- Added explicit matplotlib DPI settings in run_safe_exec function
- Ensured 600 DPI configuration persists in dynamic code execution
- Fixed Streamlit image display to use full resolution without width limits
- Plots should now generate and display at true high resolution
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Improve plot resolution and add CSV download functionality
- Increased plot DPI from 300 to 600 for ultra-high resolution
- Enhanced matplotlib style with larger figure size (14x8)
- Added explicit high-DPI settings in code generation template
- Fixed CSV download for dataframes in Streamlit interface
- Updated system prompt with high-resolution plotting instructions
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
SEABORN INTEGRATION:
- Add 'import seaborn as sns' to code template in src.py
- Add 'sns': __import__('seaborn') to execution globals
- Ensures seaborn is available in all generated code without import errors
FIXES:
- "name 'sns' is not defined" errors in correlation analysis
- Missing seaborn imports in heatmaps and statistical plots
- Enables sns.barplot(), sns.heatmap(), sns.scatterplot() usage
Now all seaborn visualization functions work seamlessly with the awesome matplotlib styling.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Clean up context with matplotlib style file + mandatory answer fix
CONTEXT CLEANUP:
- Create vayuchat.mplstyle file with professional styling
- Replace 21 lines of matplotlib styling with 1 line: plt.style.use('vayuchat.mplstyle')
- Dramatically reduces LLM context clutter for better code generation
SYSTEM PROMPT IMPROVEMENTS:
- Add MANDATORY answer variable section to prevent "no result saved" errors
- Move model selector to sidebar for better UX (no more scrolling to top)
- Add import requirements and plotting best practices
MAJOR CONTEXT REDUCTION:
- 20+ lines of styling boilerplate eliminated
- Cleaner, more focused code templates for LLM
- Professional consistent theming across all plots
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Major improvements to system prompt:
- Add mandatory safety & robustness rules with clear validation steps
- Strengthen plot generation requirements with critical saving sequence
- Add comprehensive data validation checks (empty df, missing columns, sufficient data)
- Add operation safety rules (try-except, bounds checking, type conversion)
- Make plot requirements more explicit with step-by-step instructions
- Add debugging helpers for plot issues
This should fix plots not displaying and make code generation much more robust.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Add statistical libraries and update system prompt
- Add statsmodels and scikit-learn to requirements.txt for trend analysis
- Update system prompt with available libraries list
- Guide LLM to use appropriate libraries for statistical analysis
- Suggest simpler alternatives (numpy.polyfit) when possible
This resolves 'No module named statsmodels' errors for trend analysis queries.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Fix indexing error and enhance processing indicator
- Add critical rule for calendar.month_name indexing: convert pandas values to int()
- Fix spinner not showing - moved actual processing inside spinner context
- Replace simple spinner with animated Claude Code-style processing indicator
- Added bouncing dots animation and descriptive text for better UX
- Fixed indentation issues in processing flow
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Expand system prompt with comprehensive coding best practices
- Fix processing indicator appearing in old messages - now shows only once at bottom
- Remove custom processing function, use simple st.spinner
- Simplify system prompt with general coding practices instead of specific error fixes
- Focus on fundamental pandas/Python best practices for better LLM code generation
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Implement robust error handling with user-friendly messages for LLM coding failures
ENHANCED ERROR HANDLING:
🔍 Error Classification:
- Syntax errors (unmatched brackets, invalid syntax)
- Variable naming errors (not defined variables)
- Data access errors (attribute access issues)
- Mathematical errors (division by zero)
- Data availability errors (empty datasets, no matching data)
👤 User-Friendly Messages:
- Replace technical error messages with understandable explanations
- Provide specific guidance based on error type
- Add actionable suggestions for users
- Hide complex technical details while still logging them
💡 Smart Suggestions:
- 'Try rephrasing your question'
- 'Use simpler terms'
- 'Check if data exists for your criteria'
- Specific advice based on error type
📊 Better UX:
- Users get helpful guidance instead of raw Python errors
- Technical details still available in generated code view
- Error logging preserved for debugging
- Encourages users to retry with better queries
This addresses the reality that LLM coding errors are inevitable - better to …
- Add specific guidance for correct groupby syntax: df.groupby([df['col1'], df['col2'].dt.year])
- Prevent common error: groupby(['col1', 'col2'].dt.year) which causes 'list' object has no attribute 'dt'
- Add guidance for proper DataFrame column references in all operations
- Expand CRITICAL section to cover pandas syntax fixes, not just numpy indexing
- This should fix the recurring pandas attribute access errors
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Add support for DataFrame outputs for better tabular data display
SYSTEM PROMPT IMPROVEMENTS:
- Add three output types: TEXT (simple answers), PLOTS (visualizations), DATAFRAMES (tabular data)
- Specify when to use each type:
* TEXT: Simple 1-2 value answers (Which city, What month)
* PLOTS: Visualization requests (Plot, Show chart, Visualize)
* DATAFRAMES: Tabular data like city rankings, improvement rates, comparisons
- Add guidance for proper DataFrame formatting and sorting
UI IMPROVEMENTS:
- Add DataFrame detection in response handler
- Display DataFrames with st.dataframe() for better formatting and interactivity
- Better than long text lists for tabular data like city pollution improvement rates
- Maintains existing text and plot display logic
This should solve the issue of long unreadable text outputs for tabular data like the pollution improvement rates example.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Add critical numpy indexing fixes to system prompt
- Add dedicated section for NUMPY INDEXING FIXES with clear examples
- Emphasize ALWAYS converting pandas/numpy values to int before using as indices
- Provide specific example: calendar.month_name[int(month_value)]
- Add guidance for int() conversion in various scenarios: int(row['column']), int(max_idx)
- This should fix the recurring 'numpy.float64 cannot be used as index' errors
- Make the guidance more prominent and specific
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Add comprehensive safety and robustness guidelines to system prompt
- Add data validation checks (empty dataframes, missing values)
- Add error handling with try-except blocks
- Add city/location validation before filtering
- Add proper handling of empty results after filtering
- Add numerical formatting (.round(2)) to avoid long decimals
- Add division by zero protection
- Add date range validation
- Add proper units formatting (μg/m³)
- Add memory management (plt.close())
- Add column name validation
- This should make the generated code much more robust and safe
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Fix system prompt to generate appropriate text vs plot responses
- Add clear guidance on when to create plots vs text answers
- Questions with 'Which', 'What', asking for specific values → TEXT ANSWERS
- Questions with 'Plot', 'Show', 'Visualize' → PLOTS
- Simple direct questions should get text answers, not plots
- This should fix the issue of getting plots for questions that need direct answers
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Add specific guidance to prevent common coding errors
- Add instruction to convert numpy types to int when using as indices
- Add guidance for simple plt.legend() usage without complex arguments
- Add reminder for proper pandas .iloc/.loc indexing
- These should prevent the recent numpy.float64 and matplotlib legend errors
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Fix broken system prompt causing thinking blocks in generated code
- Simplify system prompt to prevent AI model confusion
- Remove complex numbered rules that were causing thinking blocks to appear in code
- Add explicit instruction to only generate code, no explanations
- Keep essential requirements for answer variable and filename syntax
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Improve plot resolution and fix UUID syntax errors
- Increase DPI from 300 to 400 for even higher resolution on HuggingFace
- Increase font size from 11 to 12 for better readability
- Add detailed instructions about UUID generation syntax to prevent bracket errors
- Add instructions for high-resolution saving with bbox_inches='tight'
- Add warning about proper f-string bracket escaping in templates
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Remove old parameters dictionary that was causing f-string conflicts
- Keep only the clean template with proper DPI 300 setting
- This should fix the syntax errors in generated code
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Fix calendar and numpy imports in code generation
- Add calendar and numpy imports to code template
- Include these modules in execution environment globals
- Add numpy to requirements.txt
- Improve code styling with gradients and better visual design
- Replace basic feedback with 4-point rating system (Excellent/Good/Okay/Poor)
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
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
🤖 Generate…
Redesign UI for cleaner academic interface and remove pandasai dependency
Major UI improvements:
- Set DeepSeek-R1 as default model
- Remove all decorative emojis for academic look
- Redesign header with logo, subtitle, and model selector
- Clean sidebar with dataset info and quick queries
- Improve message styling with better alignment and spacing
- Add collapsible code containers with clean styling
Technical improvements:
- Remove unused pandasai dependency and functions
- Clean up imports and unused code
- Add CLAUDE.md documentation for future development
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
