README.md

metadata

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

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Live

• Space: https://huggingface.co/spaces/tarekmasryo/QuickStart

Preview

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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.

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Inputs

Accepted formats:

Repo ID

<owner>/<repo>

URLs

https://huggingface.co/<owner>/<repo>
https://huggingface.co/datasets/<owner>/<repo>
https://huggingface.co/spaces/<owner>/<repo>

Also works:

datasets/<owner>/<repo>
spaces/<owner>/<repo>

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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

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Authentication (private / gated repos)

Set HF_TOKEN.

On Hugging Face Spaces

• Settings → Secrets
• Add: HF_TOKEN = your token

Locally Windows (PowerShell):

setx HF_TOKEN "YOUR_TOKEN"

Restart terminal.

macOS/Linux:

export HF_TOKEN="YOUR_TOKEN"

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Run locally

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

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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).

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License

Apache-2.0