A newer version of the Gradio SDK is available: 6.13.0
title: Agent216
emoji: 🤖
colorFrom: purple
colorTo: pink
sdk: gradio
sdk_version: 5.34.2
app_file: app.py
pinned: false
license: mit
🤖 GAIA Agent Submission Template
This is a comprehensive template for submitting your agent to the GAIA (General AI Assistant) leaderboard. The template provides multiple approaches to building an agent that can answer GAIA questions and submit results for scoring.
🎯 What is GAIA?
GAIA is a benchmark for General AI Assistants that tests an agent's ability to answer questions that require:
- Multi-step reasoning
- Tool usage
- Information retrieval
- Mathematical calculations
- File processing
🚀 Quick Start
- Fork this template to your Hugging Face profile
- Customize the agent by modifying
agent_implementation.py - Test your agent using the Gradio interface
- Submit to leaderboard when ready
📁 Project Structure
Agent216/
├── app.py # Main Gradio application
├── agent_implementation.py # Agent logic (customize this!)
├── config.py # Configuration settings
├── requirements.txt # Python dependencies
└── README.md # This file
🛠️ Customization Options
1. Simple Prompt Agent (Beginner)
- Basic reasoning with prompts
- Good starting point
- Easy to understand and modify
2. Tool-Using Agent (Intermediate)
- Can use calculators, file readers, etc.
- More sophisticated reasoning
- Extensible tool system
3. Multi-Step Reasoning Agent (Advanced)
- Breaks down complex questions
- Step-by-step reasoning chains
- Advanced information extraction
🔧 How to Customize Your Agent
Step 1: Choose Your Approach
Edit config.py and set your preferred agent type:
AGENT_TYPE = "simple" # or "tool_using" or "multi_step"
Step 2: Implement Your Logic
Modify the generate_answer() method in agent_implementation.py:
def generate_answer(self, question: Dict) -> str:
# Your custom logic here
# You can use external APIs, custom reasoning, etc.
return "Your answer"
Step 3: Add External APIs (Optional)
If you want to use external APIs, add your keys to config.py:
EXTERNAL_APIS = {
"openai": {
"api_key": "your-openai-key",
"model": "gpt-4"
}
}
🧪 Testing Your Agent
- Launch the app: The Gradio interface will start automatically
- Test single questions: Use the "Test Your Agent" tab
- Process all questions: Use the "Process All Questions" tab
- Review results: Check your answers before submitting
📊 Submitting to Leaderboard
Prerequisites
- Your Hugging Face Space must be public
- You need your Hugging Face username
- Your Space URL (e.g.,
https://huggingface.co/spaces/your_username/your_space)
Submission Process
- Go to the "Submit to Leaderboard" tab
- Enter your username and Space URL
- Click "Submit to Leaderboard"
- Check your score on the leaderboard
🎨 Customization Ideas
Add External APIs
import openai
def generate_answer(self, question: Dict) -> str:
response = openai.ChatCompletion.create(
model="gpt-4",
messages=[{"role": "user", "content": question["question"]}]
)
return response.choices[0].message.content
Add Web Search
def web_search(self, query: str) -> str:
# Implement with Google Custom Search API
# or other search services
pass
Add File Processing
def process_csv(self, content: str) -> str:
import pandas as pd
df = pd.read_csv(StringIO(content))
return df.to_string()
📈 Performance Tips
- Start Simple: Begin with the simple agent and improve gradually
- Test Thoroughly: Use the test interface to validate your answers
- Handle Errors: Implement proper error handling for robustness
- Optimize Prompts: Fine-tune your prompts for better accuracy
- Use Tools Wisely: Only use tools when necessary
🔍 Understanding GAIA Questions
GAIA questions can be categorized into:
- Mathematical: Calculations, statistics, percentages
- Temporal: Dates, time periods, scheduling
- Spatial: Locations, geography, directions
- Factual: Information retrieval, knowledge questions
- Analytical: Data analysis, comparisons, reasoning
🚨 Important Notes
- Exact Matching: The submission uses exact matching, so be precise
- No "FINAL ANSWER": Don't include this text in your responses
- Public Space: Keep your Space public for verification
- Educational Purpose: The leaderboard is for learning and fun
🆘 Troubleshooting
Common Issues
- API Connection Errors: Check your internet connection
- File Download Failures: Some tasks may not have associated files
- Submission Failures: Ensure your Space is public
- Low Scores: Review your agent's reasoning and accuracy
Getting Help
- Check the GAIA documentation
- Review the leaderboard for examples
- Test with single questions before processing all
🎉 Success Metrics
A good GAIA agent should:
- Answer questions accurately
- Show clear reasoning
- Handle different question types
- Be robust to errors
- Provide consistent results
📚 Additional Resources
Happy coding! 🚀
Remember: The goal is to learn and have fun while building an intelligent agent. Don't be afraid to experiment and try different approaches!