Update app.py

app.py

@@ -29,6 +29,19 @@ upload_file = st.file_uploader('Upload an Image')
 from PIL import Image
 
 
+import torch
+from diffusers import StableDiffusionPipeline
+import time
+t1 = time.time()
+model_id = "CompVis/stable-diffusion-v1-4"
+device = "cuda"
+
+
+
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+pipe = pipe.to(device)
+
+
 if upload_file:
   test_sample = Image.open(upload_file)
 
@@ -38,7 +51,6 @@ if upload_file:
   generated_ids = model.generate(pixel_values=pixel_values, max_length=50)
   generated_caption = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
 
-
   for i in range(10):
     st.write('New Caption is :')
     st.write(generated_caption)