Update app.py

app.py

@@ -2,12 +2,12 @@ import gradio as gr
 import requests
 import os
 import gradio as gr
-from diffusers import StableDiffusionPipeline
-import torch
+#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")
+#model_id = "runwayml/stable-diffusion-v1-5"
+#pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.get_default_dtype())
+#pipe = pipe.to("cpu")
 
 
 
@@ -23,11 +23,10 @@ h = "Q"
 def ac():
     def im_fn(put):
         if h == o:
-            return model(put)
+            return model([put, negative_prompt="blury"])
         elif h != o:
             return(None)
-    def im_pipe(put):
-        return pipe(prompt=put, negative_prompt="blury")
+   
         '''           
         num_images_per_prompt=n_images,
         num_inference_steps = int(steps),