Update app.py

app.py

@@ -1,3 +1,4 @@
+import spaces
 import gradio as gr
 import os
 import shutil
@@ -14,14 +15,6 @@ is_shared_ui = True if "fffiloni/MimicMotion" in os.environ['SPACE_ID'] else Fal
 available_property = False if is_shared_ui else True
 
 is_gpu_associated = torch.cuda.is_available()
-if is_gpu_associated:
-    gpu_info = getoutput('nvidia-smi')
-    if("A10G" in gpu_info):
-        which_gpu = "A10G"
-    elif("T4" in gpu_info):
-        which_gpu = "T4"
-    else:
-        which_gpu = "CPU"
 
 def stream_output(pipe):
     for line in iter(pipe.readline, ''):
@@ -108,7 +101,8 @@ def get_video_fps(video_path):
 
 def load_examples(ref_image_in, ref_video_in):
     return "./examples/mimicmotion_result1_example.mp4"
-    
+
+@spaces.GPU(duration=400)
 def infer(ref_image_in, ref_video_in, num_inference_steps, guidance_scale, output_frames_per_second, seed, checkpoint_version):
     # check if 'outputs' dir exists and empty it if necessary
     check_outputs_folder('./outputs')
@@ -286,7 +280,7 @@ with gr.Blocks(css=css) as demo:
                         top_description = gr.HTML(f'''
                                 <div class="gr-prose">
                                     <h2 class="custom-color"><svg xmlns="http://www.w3.org/2000/svg" width="18px" height="18px" style="margin-right: 0px;display: inline-block;"fill="none"><path fill="#fff" d="M7 13.2a6.3 6.3 0 0 0 4.4-10.7A6.3 6.3 0 0 0 .6 6.9 6.3 6.3 0 0 0 7 13.2Z"/><path fill="#fff" fill-rule="evenodd" d="M7 0a6.9 6.9 0 0 1 4.8 11.8A6.9 6.9 0 0 1 0 7 6.9 6.9 0 0 1 7 0Zm0 0v.7V0ZM0 7h.6H0Zm7 6.8v-.6.6ZM13.7 7h-.6.6ZM9.1 1.7c-.7-.3-1.4-.4-2.2-.4a5.6 5.6 0 0 0-4 1.6 5.6 5.6 0 0 0-1.6 4 5.6 5.6 0 0 0 1.6 4 5.6 5.6 0 0 0 4 1.7 5.6 5.6 0 0 0 4-1.7 5.6 5.6 0 0 0 1.7-4 5.6 5.6 0 0 0-1.7-4c-.5-.5-1.1-.9-1.8-1.2Z" clip-rule="evenodd"/><path fill="#000" fill-rule="evenodd" d="M7 2.9a.8.8 0 1 1 0 1.5A.8.8 0 0 1 7 3ZM5.8 5.7c0-.4.3-.6.6-.6h.7c.3 0 .6.2.6.6v3.7h.5a.6.6 0 0 1 0 1.3H6a.6.6 0 0 1 0-1.3h.4v-3a.6.6 0 0 1-.6-.7Z" clip-rule="evenodd"/></svg>
-                                    You have successfully associated a {which_gpu} GPU to this Space 🎉</h2>
+                                    You have successfully associated a ZERO GPU to this Space 🎉</h2>
                                     <p class="custom-color">
                                         You will be billed by the minute from when you activated the GPU until when it is turned off.
                                     </p>