Update app.py

app.py

@@ -1,10 +1,21 @@
 import gradio as gr
+import spaces
+
+# Load the remote interface manually
+backend = gr.load("models/tencent/HunyuanVideo", provider="fal-ai")
+
+# Define a local function that Hugging Face can track, wrapped with the GPU decorator
+@spaces.GPU
+def predict(*args, **kwargs):
+    return backend(*args, **kwargs)
 
 with gr.Blocks(fill_height=True) as demo:
     with gr.Sidebar():
         gr.Markdown("# Inference Provider")
         gr.Markdown("This Space showcases the tencent/HunyuanVideo model, served by the fal-ai API. Sign in with your Hugging Face account to use this API.")
         button = gr.LoginButton("Sign in")
-    gr.load("models/tencent/HunyuanVideo", accept_token=button, provider="fal-ai")
     
+    # Create an interface mapping to our decorated function
+    gr.Interface.from_pipeline(backend, fn=predict, accept_token=button)
+
 demo.launch()