import gradio as gr

def render_tool_info():
    text = """
In order to streamline the evaluation process across many models and datasets, we
have developed df_arena_toolkit which can be used to compute score files for evaluation.
The tool can be found at https://github.com/hoanmyTran/deepfake_arena/tree/main.

### Usage 							
#### 1. Data Preparation 
Create metadata.csv with below format:
```
file_name,label
/path/to/audio1,spoof
/path/to/audio2,bonafide
...

```
NOTE : The labels should contain "spoof" for spoofed samples and "bonafide" for real samples.
       All the file_name paths should be absolute 

#### 2. Evaluation

Example usage : 
```py
python evaluation.py --model_name wavlm_ecapa 
                      --batch_size 32 
                      --protocol_file_path /path/to/metadata.csv 
                      --model_path /path/to/model.ckpt 
                      --out_score_file_name scores.txt 
                      --transforms pad 
                      --num workers 4
```




"""
    return gr.Markdown(text)