Update app.py

app.py

@@ -10,9 +10,10 @@ pipe = DiffusionPipeline.from_pretrained("cerspense/zeroscope_v2_576w", torch_dt
 pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
 pipe.enable_model_cpu_offload()
 
-caption = gr.load(name="spaces/fffiloni/CoCa-clone")
+
 
 def create_image_caption(image_init):
+    caption = gr.load(name="spaces/fffiloni/CoCa-clone")
     cap = caption(image_init, "Nucleus sampling", 1.2, 0.5, 5, 20, fn_index=0)
     print("cap: " + cap)
     return cap