---
title: Template Final Assignment
emoji: 🕵🏻‍♂️
colorFrom: indigo
colorTo: indigo
sdk: gradio
sdk_version: 5.25.2
app_file: app.py
pinned: false
hf_oauth: true
# optional, default duration is 8 hours/480 minutes. Max duration is 30 days/43200 minutes.
hf_oauth_expiration_minutes: 480
---

# GAIA Agent Evaluation Runner

Small Gradio app for the Hugging Face Agents Course final assignment.

The app logs in with Hugging Face OAuth, downloads the GAIA evaluation questions, runs a `smolagents` agent on each question, and submits the answers to the scoring endpoint.

## Setup

Create a `.env` file with the secrets needed by the model provider and by Hugging Face Spaces:

```bash
GROQ_API_KEY=your_groq_key_here
SPACE_ID=your-username/your-space-name
```

Install the dependencies:

```bash
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
```

Run locally:

```bash
python app.py
```

## Notes

- The app uses `https://agents-course-unit4-scoring.hf.space` as the scoring API.
- Text answers use Groq `llama-3.3-70b-versatile`; audio files use Groq Whisper; image files use a Groq vision model.
- The Gradio SDK version is pinned in this README frontmatter and dependencies are pinned in `requirements.txt`.
- OAuth must be enabled on the Hugging Face Space for the login flow to work.