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feat: Add ChartDisplay component for rendering various chart types (bar, line, pie, scatter, area) using Recharts.
41b312a -
feat: Introduce data query processing and visualization capabilities with new API schemas, agent executor, and frontend chart display.
b68e600 -
feat: introduce `MessageList` component to display chat messages, execution plans, and charts, and add `query_analyzer` agent.
360f797 -
feat: Implement the ChatInterface component, including dynamic sample prompts and follow-up suggestions based on chat history.
fcc01c7 -
feat: Introduce AI-powered chat interface with dynamic suggestions and a multi-agent backend for data query analysis.
49a79d4
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feat: Update message styles for improved display consistency and responsiveness
beefa5b -
feat: Update message styles for improved text wrapping and display consistency
a670484 -
feat: Update MessageBubble and CSS styles for improved text wrapping and display
829add3 -
feat: Enhance QueryClassifier to identify pure greetings and chitchat without API call; improve MessageList to handle empty lines in filtered content
9e5772d -
feat: Enhance clear chat history functionality to delete uploaded files and update UI state
ff3efe2 -
feat: Enhance chart result handling and add descriptive responses for generated charts in ExecutorAgent
95b4d01 -
feat: Implement ExecutorAgent for data analysis and chart generation using PandasAI and Google Gemini, and create MessageList component.
9d8a181 -
feat: implement a drag-and-drop file upload component for CSV/XLSX files with validation and uploaded file metadata display.
63a3a5b -
feat: add FileUpload component with drag-and-drop for CSV/XLSX, client-side validation, and upload status display.
24f966a -
feat: Implement initial frontend application with chat and file upload capabilities, and add CI/CD workflows for frontend and backend.
3df30dd -
feat: Add backend Executor agent using PandasAI with Gemini LLM and initial frontend chat interface, alongside gitignore updates for generated files.
3c233d6 -
feat: implement multi-agent data query chat with FastAPI backend for query processing, history, and session management, and a React frontend for interactive user experience.
34e1504 -
feat: implement the initial main application component, including file upload, chat interface, and overall layout.
e1b1eb4 -
feat: Implement initial file upload, AI query classification, and chat interface for data analysis.
519dd52 -
fix: enhance ChartDisplay component to handle missing data keys with user-friendly messages
197c2d8 -
fix: update import statement to use type imports and refactor ApiError class constructor
98dca30 -
fix: remove unused imports from useChat hook
f57fd63 -
fix: remove unused allowed MIME types from FileUpload component
3334f58 -
fix: remove unused error variable from file upload hook
93e0eb4
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feat: add ChartDisplay component for rendering various chart types using Recharts
c8ddf86 -
feat: add ChatInterface component for user interaction with data analysis AI
17e0de6 -
feat: add FileUpload component for drag-and-drop file uploads with validation
9ae310e -
feat: add index file for exporting UI components
15f07a9 -
feat: add LoadingSpinner and TypingIndicator components for loading and typing states
8332386 -
feat: add MessageList component for displaying chat messages with user/assistant styling
bb57aca -
feat: add index file for exporting custom hooks
62beea3 -
feat: implement useChat hook for managing chat state and interactions
9b976c8 -
feat: add useFileUpload hook for managing file upload state and operations
caa3c40 -
feat: enhance App component with file upload and chat interfaces
034c39d -
feat: complete project setup with backend and frontend structure, including API routes, models, and environment configurations
ab68d73 -
feat: initialize frontend with React, Vite, and Tailwind CSS
- Add package.json with dependencies and scripts for development - Create postcss.config.js for Tailwind CSS and autoprefixer - Add Vite logo SVG to public directory - Implement main App component with a simple greeting - Include React logo SVG in assets - Set up Tailwind CSS with index.css - Create main entry point for React application in main.tsx - Configure Tailwind CSS in tailwind.config.js - Add TypeScript configuration files for app and node - Set up Vite configuration for React52f889c