Update app.py

app.py

@@ -4,10 +4,11 @@ from diffusers import DiffusionPipeline
 import torch
 import time
 
+device = "cuda" if torch.cuda.is_available() else "cpu"
 # Load models
 translator = pipeline("translation", model="Helsinki-NLP/opus-mt-dra-en")
 summarizer = pipeline("summarization", model="Falconsai/text_summarization")
-image_pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16).to("cuda")
+image_pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16)..to(device)
 
 # Functions for each task
 def translate_tamil_to_english(text):