| import gradio as gr | |
| import subprocess | |
| def run_training(): | |
| try: | |
| process = subprocess.Popen( | |
| ["python", "train_abuse_model.py"], | |
| stdout=subprocess.PIPE, | |
| stderr=subprocess.STDOUT, | |
| text=True | |
| ) | |
| output_lines = [] | |
| for line in process.stdout: | |
| output_lines.append(line) | |
| yield "".join(output_lines) | |
| except Exception as e: | |
| yield f"Exception occurred:\n{str(e)}" | |
| demo = gr.Interface( | |
| fn=run_training, | |
| inputs=[], | |
| outputs=gr.Textbox(lines=25, label="Training Logs"), | |
| title="Run Model Training", | |
| description="Click the button to start training and see live logs below." | |
| ) | |
| demo.launch() | |