Update app.py

app.py

@@ -1,10 +1,6 @@
 import gradio as gr
-from spaces import spaces
 
-# Assign GPU to the overall spaces
-@spaces.GPU(queue=False)
 def main():
-
     # 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>")
@@ -25,15 +21,37 @@ def main():
         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']
-        )
+    demo = gr.Interface(
+        fn=None,
+        title="ChatGPT-Omni",
+        theme="soft",
+        layout="tabbed",
+        description="A collection of AI models for various tasks.",
+        inputs=None,
+        outputs=None,
+        allow_flagging=False,
+        live=False,
+        share=False,
+        capture_session=False,
+        server_name=None,
+        examples=None,
+        interpretation=None,
+        preprocessing_fns=None,
+        postprocessing_fns=None,
+        server_port=None,
+        server_port_random=False,
+        verbose=False,
+        analytics_enabled=True,
+        analytics_name=None,
+        analytics_endpoint=None,
+        analytics_app_id=None,
+        analytics_session_id=None,
+        analytics_use_ua=False,
+        gpu=True  # Enable GPU support
+    )
 
     # Launch the demo
-    demo.queue().launch(debug=True)
+    demo.launch()
 
 # Run the main function
 main()