# import re
# import requests
# import gradio as gr

# from markdownify import markdownify
# from requests.exceptions import RequestException

# from utils.preprocessor import Preprocessor

# # https://modal.com/docs/guide/webhook-urls
# MODAL_ENDPOINT = "https://auto-readme-agent--text-to-speech-gradio-app.modal.run"

# def visit_webpage(url, max_output_length=40000):
#     """
#     Fetch the webpage, convert to markdown, and use Preprocessor methods.
#     """
#     try:
#         response = requests.get(url, timeout=20)
#         response.raise_for_status()
#         markdown_content = markdownify(response.text).strip()
#         markdown_content = re.sub(r"\n{3,}", "\n\n", markdown_content)
#         # if len(markdown_content) > max_output_length:
#         #     markdown_content = (
#         #         markdown_content[: max_output_length // 2]
#         #         + f"\n..._This content has been truncated to stay below {max_output_length} characters_...\n"
#         #         + markdown_content[-max_output_length // 2 :]
#         #     )
#         # Use Preprocessor class methods
#         section = Preprocessor.extract_section(markdown_content)
#         dir_paths, files = Preprocessor.extract_dirs_from_text(section)
#         # Format the result
#         result = (
#             f"paths: {dir_paths}\n\n"
#             f"files: {files}"
#         )
#         return result
#     except requests.exceptions.Timeout:
#         return "The request timed out. Please try again later or check the URL."
#     except RequestException as e:
#         return f"Error fetching the webpage: {str(e)}"
#     except Exception as e:
#         return f"An unexpected error occurred: {str(e)}"

# demo = gr.Interface(
#     fn=visit_webpage,
#     inputs=[
#         gr.Textbox(label="Website URL"),
#         gr.Textbox(label="Files or folders you want to highlight in the README (comma or newline separated)")
#     ],
#     outputs=gr.Textbox(label="Extracted Section, Directory Paths, and File Paths", show_copy_button=True),
#     title="Webpage Section and Path Extractor",
#     description="Enter a website URL. This tool fetches the page, extracts a markdown section, and lists directory paths and files found in that section. You can also specify files or folders you want to highlight in the generated README."
# )

# if __name__ == "__main__":
#     demo.launch(debug=True)

import gradio as gr
import requests

MODAL_API_URL = "https://agents-mcp-hackathon--smolagents-modal-agent-readme-agen-eb6ccb.modal.run"  # Replace with your deployed Modal endpoint

def generate_readme_from_github(repo_url):
    try:
        response = requests.post(
            MODAL_API_URL,
            json={"repo_url": repo_url},
            timeout=600,
        )
        if response.status_code == 200:
            return response.json().get("readme", "No README generated.")
        else:
            return f"Error: {response.status_code}\n{response.text}"
    except Exception as e:
        return f"Exception: {str(e)}"

with gr.Blocks() as demo:
    gr.Markdown("# 📝 GitHub Repo → README.md Generator\nPaste a public GitHub repo link to generate a draft README.md using AI.")
    repo_input = gr.Textbox(label="GitHub Repository URL", placeholder="https://github.com/owner/repo")
    output = gr.Textbox(label="Generated README.md", lines=20)
    btn = gr.Button("Generate README")
    btn.click(generate_readme_from_github, inputs=repo_input, outputs=output)

if __name__ == "__main__":
    demo.launch()