Update app.py

app.py

@@ -20,7 +20,7 @@ from io import BytesIO
 from PIL import Image
 from PIL import Image
 
-subprocess.check_call([sys.executable, "-m", "pip", "install", "spaces==0.43.0"])
+# subprocess.check_call([sys.executable, "-m", "pip", "install", "spaces==0.43.0"])
 
 dtype = torch.bfloat16
 device = "cuda" if torch.cuda.is_available() else "cpu"
@@ -184,7 +184,7 @@ def get_duration(prompt_embeds, image_list, width, height, num_inference_steps,
     return max(65, num_inference_steps * step_duration + 10)
 
 @spaces.GPU(duration=65)
-def generate_image(prompt_embeds, image_list, width, height, num_inference_steps, guidance_scale, seed, use_turbo, progress=gr.Progress(track_tqdm=True)):
+def generate_image(prompt_embeds, image_list, width, height, num_inference_steps, guidance_scale, seed, use_turbo):
     # Move embeddings to GPU only when inside the GPU decorated function
     prompt_embeds = prompt_embeds.to(device)