Comment out code

app.py

@@ -4,8 +4,8 @@ from PIL import Image
 import base64 
 
 import torch
-#from diffusers import StableDiffusionPipeline
-from transformers import pipeline
+from diffusers import StableDiffusionPipeline
+#from transformers import pipeline
 import gradio as gr
 
 # Set Hugging Face API (needed for gated models)
@@ -32,7 +32,7 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 pipe = pipe.to(device)
 
 # Text-to-image endpoint
-get_completion = pipeline("text-to-image", model="stabilityai/stable-diffusion-xl-base-1.0")
+#get_completion = pipeline("text-to-image", model="stabilityai/stable-diffusion-xl-base-1.0")
 
 # A helper function to convert the PIL image to base64,
 # so you can send it to the API