Update app.py

app.py

@@ -2,7 +2,14 @@ import gradio as gr
 import requests
 import os
 import gradio as gr
-from transformers import pipeline
+from diffusers import StableDiffusionPipeline
+import torch
+
+model_id = "runwayml/stable-diffusion-v1-5"
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+pipe = pipe.to("cpu")
+
+
 
 
 
@@ -10,9 +17,6 @@ from transformers import pipeline
 name = "andite/anything-v4.0"
 model = gr.Interface.load(f"models/{name}")
 
-pipe = pipeline("text-to-image",model=f"{name}")
-pi = gr.Interface.from_pipeline(pipe)
-
 
 o = os.getenv("P")
 h = "Q"
@@ -23,7 +27,8 @@ def ac():
         elif h != o:
             return(None)
     def im_pipe(put):
-        return pi(put,negative_prompt = 'blury')
+        return image = pipe(prompt, negative_prompt="blury").images[0]  
+
         '''           
         num_images_per_prompt=n_images,
         num_inference_steps = int(steps),