Update app.py

app.py

@@ -1,19 +1,8 @@
 import gradio as gr
 import requests
 import os
-import gradio as gr
-#from diffusers import StableDiffusionPipeline
-#import torch
-
-#model_id = "runwayml/stable-diffusion-v1-5"
-#pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.get_default_dtype())
-#pipe = pipe.to("cpu")
-
-
-
-
-
 
+name2 = runwayml/stable-diffusion-v1-5
 name = "andite/anything-v4.0"
 model = gr.Interface.load(f"models/{name}")
 
@@ -27,15 +16,6 @@ def ac():
         elif h != o:
             return(None)
    
-        '''           
-        num_images_per_prompt=n_images,
-        num_inference_steps = int(steps),
-        guidance_scale = guidance,
-        width = width,
-        height = height,
-        generator = generator,
-        callback=pipe_callback)
-        '''
     with gr.Blocks() as b:
         put = gr.Textbox()
         with gr.Row():