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| title: AI Data Analyst Chatbot | |
| emoji: 🤖 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: "4.44.0" | |
| app_file: src/question-answer/app.py | |
| pinned: false | |
| license: mit | |
| short_description: AI chatbot that analyzes your data | |
| # 🤖 AI Data Analyst Chatbot | |
| An intelligent AI-powered chatbot that transforms your data analysis workflow. Upload any dataset and have natural conversations about your data, getting instant insights, visualizations, and comprehensive reports. | |
| ## ✨ Features | |
| - **🗣️ Natural Conversation**: Chat naturally with your AI analyst - ask questions, get clarifications, or just have a friendly conversation | |
| - **📊 Smart Analysis**: Intelligent decision-making that only runs full analysis when needed | |
| - **📈 Rich Visualizations**: Interactive charts and graphs that you can zoom and explore | |
| - **📝 Comprehensive Reports**: Detailed analysis reports with code, execution results, and insights | |
| - **🎯 Suggested Questions**: Get intelligent suggestions based on your dataset structure | |
| - **💾 Persistent Context**: Upload once, analyze multiple times with full conversation memory | |
| ## 🚀 How to Use | |
| 1. **Upload Your Dataset**: Support for CSV, Excel, JSON, and Parquet files | |
| 2. **Start Chatting**: Ask questions naturally or use the suggested questions | |
| 3. **Get Insights**: Receive analysis, visualizations, and reports directly in the chat | |
| 4. **Continue Exploring**: Ask follow-up questions and dive deeper into your data | |
| ## 💡 Example Questions | |
| - "What are the main trends in this dataset?" | |
| - "Show me the distribution of sales by region" | |
| - "What are the top 5 products by revenue?" | |
| - "Can you create a correlation matrix?" | |
| - "What insights can you find about customer behavior?" | |
| ## 🛠️ Technical Details | |
| - **Framework**: Gradio + LangGraph | |
| - **AI Models**: GPT-4o-mini for decision making and responses | |
| - **Analysis Pipeline**: Multi-agent system with code generation, execution, and visualization | |
| - **Deployment**: Ready for Hugging Face Spaces | |
| ## 📋 Supported File Types | |
| - CSV files (.csv) | |
| - Excel files (.xlsx, .xls) | |
| - JSON files (.json) | |
| - Parquet files (.parquet) | |
| ## 🔧 Installation | |
| ```bash | |
| pip install -r requirements.txt | |
| python src/question-answer/app.py | |
| ``` | |
| ## 📄 License | |
| This project is licensed under the MIT License - see the LICENSE file for details. | |
| --- | |
| **Ready to analyze your data? Upload a dataset and start chatting with your AI analyst!** 🚀 |