app.py

import gradio as gr
import subprocess

dataset = "truthful_qa"
def greet(model):
    global dataset
    command = f"python detect-pretrain-code-contamination/src/run.py --target_model {model} --ref_model roneneldan/TinyStories-Instruct-1M --data {dataset} --output_dir detect-pretrain-code-contamination/out/{dataset} --ratio_gen 0.4"
    result = subprocess.run(command, shell=True,capture_output=True, text=True)
    
    if result.returncode == 0:
        return result.stdout
    else:
        return f"Error: {result.stderr}"

iface = gr.Interface(fn=greet, inputs="text", outputs="text")
iface.launch()