Upload app.py with huggingface_hub

app.py

@@ -1,13 +1,13 @@
 """
 InfiniteTalk - Talking Video Generator
-Gradio Space with ZeroGPU support
+Gradio Space for HuggingFace
 """
 
 import os
 import sys
 
 # CRITICAL: Set environment variables BEFORE any torch/torchvision imports
-# This prevents torchvision from registering CUDA ops that don't exist on ZeroGPU at import time
+# This prevents torchvision from registering CUDA ops that don't exist at import time
 os.environ["TORCHVISION_DISABLE_META_REGISTRATIONS"] = "1"
 os.environ["TORCH_LOGS"] = "-all"  # Reduce torch logging noise
 
@@ -19,7 +19,6 @@ from pathlib import Path
 import gradio as gr
 import torch
 import numpy as np
-import spaces
 
 # Suppress warnings
 warnings.filterwarnings('ignore')
@@ -147,7 +146,6 @@ def validate_inputs(image_or_video, audio, resolution, steps):
         raise gr.Error(" | ".join(errors))
 
 
-@spaces.GPU(duration=180)
 def generate_video(
     image_or_video,
     audio_file,
@@ -173,6 +171,13 @@ def generate_video(
         Path to generated video
     """
     try:
+        # Check if GPU is available
+        if not torch.cuda.is_available():
+            raise gr.Error(
+                "⚠️ GPU not available. This Space requires GPU hardware to generate videos. "
+                "Please apply for a Community GPU Grant in the Space settings, or run this app locally with a GPU."
+            )
+
         # Initialize models if needed
         if not models_loaded:
             initialize_models(progress)
@@ -454,7 +459,7 @@ def create_interface():
         ### About
         Powered by [InfiniteTalk](https://github.com/MeiGen-AI/InfiniteTalk) - Apache 2.0 License
 
-        **Free Tier Usage**: ~3-5 generations per quota period on free ZeroGPU
+        ⚠️ **Note**: This Space requires GPU hardware to generate videos. Apply for a Community GPU Grant in Settings.
 
         💡 **Tips**:
         - First generation downloads models (~15GB) and may take 2-3 minutes