app.py

import gradio as gr
import re, os, zipfile, tempfile

def parse_ai_response(text):
    files = []
    pattern = r"```([a-zA-Z0-9]+)?\n([\s\S]*?)```"
    matches = re.findall(pattern, text)

    lines = text.splitlines()
    inferred_names = []
    for i, line in enumerate(lines):
        if re.search(r"(`.*?`|\.js|\.html|\.css|\.py)", line):
            m = re.search(r"([A-Za-z0-9_\-]+\.[A-Za-z0-9]+)", line)
            if m:
                inferred_names.append(m.group(1))

    for i, (lang, code) in enumerate(matches):
        filename = inferred_names[i] if i < len(inferred_names) else f"file_{i+1}.{lang or 'txt'}"
        files.append((filename, code))
    return files

def create_zip(files):
    temp_dir = tempfile.mkdtemp()
    zip_path = os.path.join(temp_dir, "project.zip")
    with zipfile.ZipFile(zip_path, "w") as zipf:
        for name, content in files:
            file_path = os.path.join(temp_dir, name)
            os.makedirs(os.path.dirname(file_path), exist_ok=True)
            with open(file_path, "w", encoding="utf-8") as f:
                f.write(content)
            zipf.write(file_path, arcname=name)
    return zip_path

def process_response(text):
    files = parse_ai_response(text)
    zip_path = create_zip(files)
    return zip_path

interface = gr.Interface(
    fn=process_response,
    inputs=gr.Textbox(lines=30, label="Paste AI project response here"),
    outputs=gr.File(label="Download generated ZIP"),
    title="AI Project Packager",
    description="Paste an AI-generated project (like a Node.js or Python app) and this tool will parse, assemble, and zip the files for you."
)

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