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Update app.py
Browse filesadded tailwind snippet by S
app.py
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import gradio as gr
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import zipfile
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import os
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from langchain_core.messages import HumanMessage
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from utils.langgraph_pipeline import run_pipeline_and_save
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TEMP_DIR = "generated_output"
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os.makedirs(TEMP_DIR, exist_ok=True)
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def save_files(html: str, log: str):
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TEMP_DIR = "generated_output"
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os.makedirs(TEMP_DIR, exist_ok=True)
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# Extract CSS
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import re
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css_match = re.search(r"<style[^>]*>(.*?)</style>", html, flags=re.DOTALL)
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css = css_match.group(1).strip() if css_match else ""
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# Remove <style> tag and replace with <link>
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html_clean = re.sub(r"<style[^>]*>.*?</style>", '<link rel="stylesheet" href="styles.css">', html, flags=re.DOTALL)
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# Paths
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html_path = os.path.join(TEMP_DIR, "ui.html")
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css_path = os.path.join(TEMP_DIR, "styles.css")
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log_path = os.path.join(TEMP_DIR, "agent_log.txt")
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zip_path = os.path.join(TEMP_DIR, "output_bundle.zip")
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# Save files
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with open(html_path, "w", encoding="utf-8") as f:
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f.write(
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with open(css_path, "w", encoding="utf-8") as f:
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f.write(css)
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with open(log_path, "w", encoding="utf-8") as f:
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f.write(log)
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with zipfile.ZipFile(zip_path, "w") as zipf:
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zipf.write(html_path, arcname="ui.html")
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zipf.write(css_path, arcname="styles.css")
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zipf.write(log_path, arcname="agent_log.txt")
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return html_path,
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def process(user_input):
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messages = [HumanMessage(content=user_input)]
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final_state = run_pipeline_and_save(messages)
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log = "\n\n".join([f"{msg.type.upper()}: {msg.content}" for msg in final_state["messages"]])
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html_file,
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preview = f"<iframe src='file/{html_file}' width='100%' height='500px' style='border:1px solid #ccc;'></iframe>"
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return preview, html, log, html_file, css_file, log_file, zip_file
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gr.Markdown("# π€ Multi-Agent UI Generator")
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user_prompt = gr.Textbox(label="Describe your UI", lines=4, value="A yoga retreat homepage with schedule and testimonials.")
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run_btn = gr.Button("Run Agents")
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gr.
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gr.
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gr.
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run_btn.click(
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fn=process,
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inputs=[user_prompt],
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outputs=[
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html_output,
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log_output,
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html_download,
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css_download,
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log_download,
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zip_download
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]
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)
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if __name__ == "__main__":
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demo.launch()
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import gradio as gr
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import zipfile
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import os
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from bs4 import BeautifulSoup
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from langchain_core.messages import HumanMessage
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from utils.langgraph_pipeline import run_pipeline_and_save
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TEMP_DIR = "generated_output"
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os.makedirs(TEMP_DIR, exist_ok=True)
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# Tailwind CDN snippet
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TAILWIND_CDN = """
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<link href="https://cdn.jsdelivr.net/npm/tailwindcss@2.2.19/dist/tailwind.min.css" rel="stylesheet">
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"""
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# Format and beautify HTML
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def format_html(html_body: str):
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full_html = f"""<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<title>Generated UI</title>
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{TAILWIND_CDN}
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</head>
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<body class="bg-white text-gray-900">
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{html_body}
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</body>
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</html>"""
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soup = BeautifulSoup(full_html, "html.parser")
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return soup.prettify()
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# Save HTML and log to files and zip
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def save_files(html: str, log: str):
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html_path = os.path.join(TEMP_DIR, "ui.html")
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log_path = os.path.join(TEMP_DIR, "agent_log.txt")
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zip_path = os.path.join(TEMP_DIR, "output_bundle.zip")
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with open(html_path, "w", encoding="utf-8") as f:
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f.write(html)
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with open(log_path, "w", encoding="utf-8") as f:
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f.write(log)
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with zipfile.ZipFile(zip_path, "w") as zipf:
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zipf.write(html_path, arcname="ui.html")
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zipf.write(log_path, arcname="agent_log.txt")
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return html_path, log_path, zip_path
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# Core processing logic
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def process(user_input):
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messages = [HumanMessage(content=user_input)]
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final_state = run_pipeline_and_save(messages)
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raw_html = final_state["html_output"]
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html = format_html(raw_html) # π§Ό Beautify and wrap with Tailwind
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log = "\n\n".join([f"{msg.type.upper()}: {msg.content}" for msg in final_state["messages"]])
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html_file, log_file, zip_file = save_files(html, log)
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# Escape quotes for safe iframe rendering
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escaped_html = html.replace('"', """)
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preview = f"<iframe srcdoc='{escaped_html}' width='100%' height='600px' style='border:1px solid #ccc; border-radius:8px;'></iframe>"
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return preview, html, log, html_file, log_file, zip_file
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# Gradio Interface
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with gr.Blocks(css=".gr-box { border-radius: 12px; padding: 10px; }") as demo:
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gr.Markdown("## π€ Multi-Agent UI Generator")
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gr.Markdown("Describe the kind of UI you want, and our AI agents will generate a complete HTML page for you!")
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with gr.Group():
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user_prompt = gr.Textbox(label="π Describe Your Web Page", lines=4, placeholder="e.g., A yoga retreat homepage with schedule and testimonials.")
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run_btn = gr.Button("π Generate with Agents")
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with gr.Tab("π Live Preview"):
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preview_html = gr.HTML()
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with gr.Tab("π§© Generated HTML & Agent Log"):
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with gr.Row():
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html_output = gr.Textbox(label="π₯οΈ HTML Code", lines=15, interactive=True, show_copy_button=True)
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log_output = gr.Textbox(label="π¬ Agent Conversation Log", lines=15, interactive=True, show_copy_button=True)
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with gr.Tab("π₯ Downloads"):
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with gr.Row():
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html_download = gr.File(label="Download HTML")
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log_download = gr.File(label="Download Agent Log")
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zip_download = gr.File(label="Download All (.zip)")
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run_btn.click(
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fn=process,
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inputs=[user_prompt],
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outputs=[preview_html, html_output, log_output, html_download, log_download, zip_download]
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)
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if __name__ == "__main__":
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demo.launch()
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