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title: LLM Excel Plotter
emoji: 📊
colorFrom: indigo
colorTo: purple
sdk: docker
sdk_version: "1.0"
app_file: app.py
app_port: 7860
pinned: false
---
# LLM Excel Plotter Agent
An intelligent Hugging Face Space that uses Large Language Models to process Excel data, generate meaningful charts, and provide automated analysis.
## Features
- 📈 **Intelligent Chart Generation**: Uses Qwen2.5 and BART models to understand data and generate appropriate visualizations
- 🤖 **LLM-Powered Analysis**: Leverages state-of-the-art language models for data interpretation
- 📊 **Multiple Chart Types**: Supports line charts, bar charts, scatter plots, and more
- 🎨 **Interactive UI**: Clean, modern interface built with React and Plotly.js
- 📁 **File Upload**: Process CSV files and get instant analysis
## Models & APIs
### Local Models (Free)
- **Qwen2.5-1.5B-Instruct**: Local inference for data analysis
- **BART Fine-tuned**: Custom model for structured text generation
### Supported External APIs (Optional)
- Gemini 2.0 Flash: Add `GEMINI_API_KEY` environment variable
- Grok-3 Mini: Add `GROK_API_KEY` environment variable
## Usage
1. Upload a CSV file containing your data
2. Ask the chatbot to analyze or visualize specific aspects
3. View generated charts and insights
4. Export results or ask follow-up questions
## Deployment
Built with:
- **Backend**: Flask (Python 3.10)
- **Frontend**: React 18.3.1
- **LLM Integration**: Transformers, HuggingFace Inference
- **Data Processing**: Pandas, Scikit-learn
Deploy to Hugging Face Spaces with Docker support enabled.
## Health And Wake-Up Endpoint
To support cold-start recovery on free-tier Hugging Face Spaces, this backend exposes:
- `GET /health`
This endpoint is lightweight and intended for:
- frontend wake-up checks before user requests,
- retry logic diagnostics,
- optional cron-based warm-up pings.
Example:
```bash
curl https://<your-space>.hf.space/health
```
Typical response:
```json
{
"status": "ok",
"service": "llm-excel-plotter-agent",
"uptime_seconds": 12.34,
"timestamp": 1700000000
}
```
---
For more information, visit the [project repository](https://github.com/priyansh-saxena1/LLM-Integrated-Excel-Plotter-App)
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