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