| import gradio as gr | |
| from agent.core import run_agent | |
| def respond_to_issue(issue_url, branch_name): | |
| try: | |
| result = run_agent(issue_url, branch_name) | |
| response = "Agent has successfully processed the issue and posted an update in the comments. Check the GitHub issue for updates." | |
| except Exception as e: | |
| response = f"Something went wrong: {str(e)}" | |
| return response | |
| iface = gr.Interface( | |
| fn=respond_to_issue, | |
| inputs=[ | |
| gr.Textbox(label="GitHub Issue URL", placeholder="https://github.com/user/repo/issues/123"), | |
| gr.Textbox(label="Branch Name", placeholder="main or dev or feature/xyz") | |
| ], | |
| outputs=gr.Textbox(label="Agent Response"), | |
| title="OpenSorus – AI Copilot for Timely Dev Support in GitHub Issues", | |
| description="Running short on time? Just paste the URL of the issue and let the Agent take care of the rest!", | |
| ) | |
| if __name__ == "__main__": | |
| iface.launch() | |