ArchCoder/llm-excel-plotter-agent

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. 1.Upload a CSV file containing your data
2. 2.Ask the chatbot to analyze or visualize specific aspects
3. 3.View generated charts and insights
4. 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:

curl https://<your-space>.hf.space/health

Typical response:

{
	"status": "ok",
	"service": "llm-excel-plotter-agent",
	"uptime_seconds": 12.34,
	"timestamp": 1700000000
}

For more information, visit the project repository