---
title: QuickStart
emoji: 🚀
colorFrom: yellow
colorTo: gray
sdk: gradio
sdk_version: 6.5.1
python_version: 3.11
app_file: app.py
pinned: true
license: apache-2.0
short_description: Generate reliable run/download snippets for any HF repo
thumbnail: >-
  https://cdn-uploads.huggingface.co/production/uploads/68baeb7dbdf2bfb823aacffc/CVWDxxF9OsUu2ntKmA9IH.png
---



# QuickStart

A Gradio Space that converts any Hugging Face **URL** or **Repo ID** into clean, copy-ready **first-run artifacts**:

- **Run snippet** (best-effort)
- **Download recipes** (Python + CLI)
- **Files view** + lightweight **risk hints** *(filename-based only)*
- **Exportable zip** with runnable scripts

[![UI](https://img.shields.io/badge/UI-Gradio-FF7A18)](https://www.gradio.app/)
![Python](https://img.shields.io/badge/Python-3.11-blue)
![License](https://img.shields.io/badge/License-Apache--2.0-orange)

---

## Live
- Space: https://huggingface.co/spaces/tarekmasryo/QuickStart

## Preview
![QuickStart UI](assets/Example.png)

---

## What problem does it solve?
Hugging Face repos are consistent to browse, but **starting them is not**:
- Different repo types (Model / Dataset / Space)
- Different download flows (Python vs CLI)
- Some repos are private/gated (token required)
- Large repos need reproducible “download + run” recipes

QuickStart standardizes the **first 5 minutes** into a repeatable workflow.

---

## Inputs
Accepted formats:

**Repo ID**
```text
<owner>/<repo>
```

**URLs**
```text
https://huggingface.co/<owner>/<repo>
https://huggingface.co/datasets/<owner>/<repo>
https://huggingface.co/spaces/<owner>/<repo>
```

Also works:
```text
datasets/<owner>/<repo>
spaces/<owner>/<repo>
```

---

## Outputs (Tabs)

### 1) QuickStart
- Minimal Python snippet (best-effort)
- Install command

### 2) Download
- Python recipe using `snapshot_download()`
- CLI recipe using `huggingface-cli download`

### 3) Files
- Best-effort file list (limited)
- Risk hints summary (filename-based)

### 4) Export
Creates a zip with a runnable, minimal scaffold:
- `run.py` (best-effort entry script)
- `download.py` (reproducible snapshot download)
- `requirements.txt`
- `.env.example`
- `README.md` (how to run locally)

### 5) Badge
- Markdown badge linking to the target repo

### 6) Details
- Raw repo metadata (JSON)

---

## Risk hints (non-audit)
**Important:** Risk hints are **filename-based only**:
- ✅ Flags names like `.env`, `token`, `api_key`, `credentials`, private keys
- ✅ Highlights common ML artifacts by extension (e.g., `.safetensors`, `.bin`, `.onnx`, `.gguf`)
- ❌ Does **not** scan file contents
- ❌ Not a security/compliance audit

---

## Authentication (private / gated repos)
Set `HF_TOKEN`.

**On Hugging Face Spaces**
- Settings → **Secrets**
- Add: `HF_TOKEN` = your token

**Locally**
Windows (PowerShell):
```bash
setx HF_TOKEN "YOUR_TOKEN"
```
Restart terminal.

macOS/Linux:
```bash
export HF_TOKEN="YOUR_TOKEN"
```

---

## Run locally
```bash
git clone https://huggingface.co/spaces/tarekmasryo/QuickStart
cd QuickStart

python -m venv .venv
# Windows:
.venv\Scripts\activate
# macOS/Linux:
source .venv/bin/activate

pip install -U pip
pip install -r requirements.txt

python app.py
```

---

## Known limitations (by design)
- Snippets are **best-effort** and depend on available Hub metadata.
- Files view is limited and may be incomplete for some repos.
- No content scanning (only filename signals).

---

## License
Apache-2.0