Update app.py

app.py

@@ -185,13 +185,12 @@ Weights for this model are available in Safetensors format.
 from diffusers import AutoPipelineForText2Image
 import torch
 
-pipeline = AutoPipelineForText2Image.from_pretrained('{info["baseModel"]}', torch_dtype=torch.float16).to("cuda")
+pipeline = AutoPipelineForText2Image.from_pretrained('{info["baseModel"]}', torch_dtype=torch.float16).to('cuda')
 pipeline.load_lora_weights("{{user_repo_id}, weight_name='{downloaded_files["weightName"]}')
 image = pipeline('{prompt if prompt else (formatted_words if formatted_words else 'Your custom prompt')}').images[0]
 ```
 
 For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
-
 """
     #for index, (image, prompt) in enumerate(zip(downloaded_files["imageName"], downloaded_files["imagePrompt"])):
     #    if index == 1: