feat: Display "Processing..." on buttons during execution and correct a column name in the README example.

feat: Disable UI buttons during tool execution and re-enable them afterwards.

fix: Update example column name from MEDV to price.

feat: Add example inputs to the Analyze, Train, Deploy, and Auto Deploy tabs.

feat: Limit training dataset to 10,000 rows for improved processing speed and update success message with dataset information

docs: Add links to social media and YouTube video demo in README for enhanced visibility

docs: Enhance formatting in auto deploy tool report sections for improved readability

docs: Update README for clarity and enhance app.py output formatting in auto deploy tool

refactor: Simplify dataset analysis and model training sections in auto deploy tool

fix: Enhance data quality assessment logic and restrict file types for uploads in the auto deploy tool

improve auto deploy tool info

update the core

adding discriptions

fix the argement issue and naming

refactor: replace anonymous lambda functions with named wrappers for Gradio button click handlers.

feat: Add housing dataset and update application logic and documentation.

docs: Overhaul README with comprehensive usage guide and architecture, update app UI description, and refine project metadata.

refactor: enhance file content retrieval, add error handling to tools, and remove auto-deployer pipeline logic

feat: Add URL and Gradio file handling to tools and include sample heart.csv dataset.

refactor: Update app.py to improve code organization and enhance manual testing capabilities.

refactor: Comment out tool registration in app.py to streamline the interface for manual testing.

feat: Add Modal backend deployment checks and integration to app, enhancing backend management and ensuring readiness before launching the server.

feat: Enhance data analysis tool with new visualization features, improve model training metrics, and update deployment examples for better clarity.

feat: Add data analysis tool, implement task-specific model training with enhanced metrics and deployment examples, and refactor UI for manual testing.

docs: Add Hugging Face Spaces metadata to README.

feat: Convert app to an MCP

feat: Implement Gradio frontend with OpenAI agent, Modal backend for ML operations, and local testing utilities.

initial commit