| | import gradio as gr |
| | from managers.evaluator import Evaluator |
| |
|
| | class App: |
| | def __init__(self): |
| | self.interface = gr.Blocks() |
| | self._build_interface() |
| |
|
| | def _build_interface(self): |
| | with self.interface: |
| | gr.Markdown("# Basic Agent Evaluation Runner") |
| | gr.Markdown("Follow instructions to run and evaluate the agent.") |
| | gr.LoginButton() |
| | run_button = gr.Button("Run Evaluation & Submit All Answers") |
| | status_output = gr.Textbox(label="Run Status / Submission Result", lines=5, interactive=False) |
| | results_table = gr.DataFrame(label="Questions and Agent Answers", wrap=True) |
| |
|
| | run_button.click( |
| | fn=App.evaluate_agent, |
| | outputs=[status_output, results_table] |
| | ) |
| |
|
| | @staticmethod |
| | def evaluate_agent(profile: gr.OAuthProfile | None): |
| | evaluator = Evaluator(profile) |
| | return evaluator.run_and_submit() |
| |
|
| | def run(self): |
| | print("Launching Gradio Interface...") |
| | self.interface.launch(debug=True, share=False) |