Remove 'steps' from function parameter, use default value 50

app.py

@@ -12,7 +12,7 @@ pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4",
 # pipe = pipe.to('cuda')
 
 # define gradio function
-def generate(prompt:str, seed:int, guidance:float, steps:int):
+def generate(prompt:str, seed:int, guidance:float):
     generator = torch.Generator("cuda").manual_seed(int(seed))
     with autocast("cuda"):
         image = pipe(prompt=prompt, generator=generator, guidance_scale=guidance, steps=50).images[0]