Spaces:
Runtime error
Runtime error
File size: 1,696 Bytes
3c0595a 043c791 3c0595a 043c791 3c0595a 043c791 3c0595a 043c791 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 | ---
title: EDA-Generator
emoji: 🚀
colorFrom: purple
colorTo: indigo
sdk: gradio
sdk_version: "4.44.0"
app_file: app.py
pinned: false
license: apache-2.0
---
# 🚀 EDA-Generator
AI-Powered Chatbot & Dataset Exploratory Analysis on HuggingFace Spaces.
## Features
### 💬 AI Chatbot
- Powered by **GPT-OSS-20B** (OpenAI's open-weight model)
- 21B parameters with Mixture-of-Experts architecture
- Streaming responses for real-time interaction
- Built with HuggingFace Transformers & Chat Templates
### 📊 Dataset EDA
- Analyzes the **fka/awesome-chatgpt-prompts** dataset
- 1,040 curated prompts for various AI personas
- Interactive Plotly visualizations:
- Prompt length distribution
- Word count analysis
- Top words frequency
- Length vs words correlation
- Category distribution
## Local Setup
```bash
# Clone the repository
git clone https://huggingface.co/spaces/<your-username>/EDA-Generator
# Create virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install dependencies
pip install -r requirements.txt
# Set your HuggingFace token
export HF_TOKEN="your_token_here"
# Or create a .env file with: HF_TOKEN=your_token_here
# Run the app
python app.py
```
## Tech Stack
- **Frontend**: Gradio 4.x
- **ML**: HuggingFace Transformers
- **Model**: openai/gpt-oss-20b
- **Visualization**: Plotly, Matplotlib, Seaborn
- **Data**: HuggingFace Datasets
## Files
| File | Description |
|------|-------------|
| `app.py` | Main Gradio application |
| `chatbot.py` | Chatbot logic with transformers |
| `eda.py` | EDA functions & visualizations |
| `requirements.txt` | Python dependencies |
## License
Apache 2.0
|