app.py

import gradio as gr

# Define the components 
with gr.Blocks() as chatbot:
    gr.HTML("<iframe src='https://prithivmlmods-mistral-7b-instruct-v0-3.hf.space/' width='100%' height='1000px' style='border-radius: 8px;'></iframe>")

with gr.Blocks() as imagegpt:
    gr.HTML("<iframe src='https://prithivmlmods-imagegpt-4xl.hf.space/' width='100%' height='1000px' style='border-radius: 8px;'></iframe>")

with gr.Blocks() as imageengine2k:
    gr.HTML("<iframe src='https://prithivmlmods-sdxl-blaze.hf.space/' width='100%' height='1000px' style='border-radius: 8px;'></iframe>")

with gr.Blocks() as mediadownloader:
    gr.HTML("<iframe src='https://prithivmlmods-all-in-one-downloader.hf.space/' width='100%' height='1000px' style='border-radius: 8px;'></iframe>")

with gr.Blocks() as photofakes:
    gr.HTML("<iframe src='https://prithivmlmods-face-swap-roop.hf.space/' width='100%' height='1000px' style='border-radius: 8px;'></iframe>")

# Assemble the components into a single Gradio interface
with gr.Blocks(theme="xiaobaiyuan/theme_brief", title="GPT 4o") as demo:
    gr.Markdown("# GPT~4o")
    gr.TabbedInterface(
        [chatbot, imagegpt, imageengine2k, mediadownloader, photofakes], 
        ['Chat·Fast', 'Image·GPT', 'SDXL·Blaze', 'Media·Downloader', 'Deep·Fakes']
    )

demo.queue().launch(show_api=False)