|
|
--- |
|
|
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: |
|
|
```bash |
|
|
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: |
|
|
```bash |
|
|
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 |
|
|
```bash |
|
|
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 |
|
|
|
