Create app.py

app.py

@@ -0,0 +1,31 @@
+import gradio as gr
+
+# Define the components using the specified URLs
+with gr.Blocks() as chatbot:
+    gr.HTML("<iframe src='https://huggingface.co/spaces/prithivMLmods/Mistral-7B-Instruct-v0.3' width='100%' height='1000px' style='border-radius: 8px;'></iframe>")
+
+with gr.Blocks() as imagegpt:
+    gr.HTML("<iframe src='https://huggingface.co/spaces/prithivMLmods/ImageGPT-4XL' width='100%' height='1000px' style='border-radius: 8px;'></iframe>")
+
+with gr.Blocks() as imageengine4k:
+    gr.HTML("<iframe src='https://huggingface.co/spaces/prithivMLmods/DALLE-4K' width='100%' height='1000px' style='border-radius: 8px;'></iframe>")
+
+with gr.Blocks() as imageengine2k:
+    gr.HTML("<iframe src='https://huggingface.co/spaces/prithivMLmods/DALLE-2K' width='100%' height='1000px' style='border-radius: 8px;'></iframe>")
+
+with gr.Blocks() as mediadownloader:
+    gr.HTML("<iframe src='https://huggingface.co/spaces/prithivMLmods/All-In-One-Downloader' width='100%' height='1000px' style='border-radius: 8px;'></iframe>")
+
+with gr.Blocks() as photofakes:
+    gr.HTML("<iframe src='https://huggingface.co/spaces/prithivMLmods/Face-Swap-Roop' width='100%' height='1000px' style='border-radius: 8px;'></iframe>")
+
+# Assemble the components into a single Gradio interface
+with gr.Blocks(theme=gr.themes.Soft(), title="ChatGPT-Omni") as demo:
+    gr.Markdown("# ChatGPT-Omni")
+    gr.TabbedInterface(
+        [chatbot, imagegpt, imageengine4k, imageengine2k, mediadownloader, photofakes], 
+        ['ChatBot', 'ImageGPT', 'Image Engine 4K', 'Image Engine 2K', 'Media Downloader', 'PhotoFakes']
+    )
+
+# Launch the demo with GPU enabled
+demo.queue(max_size=300, max_batch_size=10).launch(enable_queue=True, debug=True)