Spaces:
Sleeping
Sleeping
File size: 1,660 Bytes
3a235a9 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 |
# Running Gaia Benchmark
AWorld is an AI-powered simulation environment for creating and interacting with virtual worlds.
You could follow the following steps to run the Gaia benchmark.
## Prerequisites
- Git
- Conda (Miniconda or Anaconda)
- Python 3.11
- Node.js
## Installation
### 1. Clone the repository:
```bash
git clone https://github.com/inclusionAI/AWorld.git
cd AWorld
```
### 2. Create and activate a Conda environment:
```bash
conda create --name aworld python=3.11
conda activate aworld
```
### 3. Setup the environment:
```bash
python setup.py install
git clone https://github.com/haris-musa/excel-mcp-server.git
cd excel-mcp-server
uv pip install -e .
```
### 4. Download GAIA Dataset
https://huggingface.co/datasets/gaia-benchmark/GAIA/tree/main
## Configuration
### Create a `.env` file in the project root and add your API credentials:
```bash
GAIA_DATASET_PATH=<Your Dataset Absolute Path>
LLM_API_KEY=<Your API Key>
LLM_BASE_URL=<Your Service Provider URL>
...
```
## Running the Application
1. Start the local MCP servers
```bash
uv run excel-mcp-server
```
The server should now be running with the configuration specified in `mcp.json`.
1. Run the script
```bash
python ./examples/gaia/run.py
```
Now you could check the output log in the console.
## Troubleshooting
If you encounter issues:
- Verify all environment variables are set correctly
- Check that all dependencies are installed
- Ensure the dataset path is correctly configured
- Check the server logs for any error messages
## Support
For additional help, please [open an issue](https://github.com/inclusionAI/AWorld/issues/new) on our GitHub repository.
|