| | --- |
| | title: Csv Bot 2 |
| | emoji: 🏃 |
| | colorFrom: indigo |
| | colorTo: indigo |
| | sdk: gradio |
| | sdk_version: 5.25.2 |
| | app_file: app.py |
| | pinned: false |
| | license: mit |
| | short_description: Chat with your CSV files |
| | --- |
| | |
| |
|
| | # CSV Chatbot |
| |
|
| | An interactive chatbot that analyzes CSV files using natural language queries. Upload your CSV data and ask questions in plain English to get insights, visualizations, and reports. |
| |
|
| | ## Features |
| |
|
| | - **Natural Language Queries**: Ask questions about your CSV data in plain English |
| | - **Multiple File Support**: Upload and analyze multiple CSV files at once |
| | - **Automatic Visualization**: Generate charts and graphs based on your data |
| | - **Report Generation**: Export conversation and analysis results as HTML reports |
| | - **Smart CSV Handling**: Automatic detection of encoding, delimiters, and data types |
| |
|
| | ## How to Use |
| |
|
| | 1. **Upload CSV Files**: Click the upload button and select one or more CSV files |
| | 2. **Process Files**: Click "Process Files" to index your data |
| | 3. **Ask Questions**: Type your question in the text box and click "Submit" |
| | 4. **View Results**: See text responses, tables, and visualizations in the chat |
| | 5. **Export Results**: Click "Export Conversation" to create a shareable report |
| |
|
| | ## Example Queries |
| |
|
| | - "What's the average value in column X?" |
| | - "Show me a histogram of the distribution in column Y" |
| | - "Is there a correlation between column A and column B?" |
| | - "What are the top 5 values in column Z?" |
| | - "Compare the average values grouped by category" |
| |
|
| | ## Technical Details |
| |
|
| | This application uses: |
| | - Phi-3-mini language model for natural language understanding |
| | - LlamaIndex for data indexing and retrieval |
| | - Pandas for data analysis |
| | - Matplotlib for visualization |
| | - Gradio for the web interface |
| |
|
| | ## Limitations |
| |
|
| | - Large CSV files (>100MB) may take longer to process |
| | - Complex statistical analyses may require specific phrasing |
| | - Currently limited to tabular data in CSV format |
| |
|
| | ## Feedback and Contributions |
| |
|
| | This is an open-source project. Feedback and contributions are welcome! |
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