README.md

metadata

title: Trending Repos Analysis
emoji: 🐢
colorFrom: indigo
colorTo: red
sdk: gradio
sdk_version: 5.30.0
app_file: app.py
pinned: false
license: apache-2.0
short_description: Meta analysis about trends on trending repos

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

SQL Dataset Visualizer on Hugging Face Spaces

This application allows you to query Hugging Face datasets using SQL and visualize the results using Plotly.

Setup

1. Install dependencies:

pip install -r requirements.txt

2. Set up authentication:
   • Get your Hugging Face token from https://huggingface.co/settings/tokens
   • For local development, set the environment variable:

     export HF_TOKEN=your_token_here
     

   • For Hugging Face Spaces, add the token in the Space settings:
     • Go to your Space settings
     • Add a new secret with key HF_TOKEN and your token as the value

Run Locally

python app.py

Deploy to Hugging Face Spaces

1. Push these files to a new Python Space on HF
2. Add your HF_TOKEN in the Space settings
3. The Space will automatically deploy with the token securely stored

Usage

1. Enter your SQL query in the text box
2. The results will be automatically visualized as a bar chart
3. If there's an error in your query, it will be displayed as text

Security Note

• Never commit your HF_TOKEN to version control
• Always use environment variables or Space secrets for authentication
• The token is used to access private datasets and authenticate API requests