Update app.py

app.py

@@ -149,24 +149,3 @@ instance_prompt: {trained_words[0] if trained_words else ''}
 ---
 """
 
-    # This f-string is now correctly formatted and closed
-    diffusers_md = f"""
-## {name}
-
-This is a LoRA model of **{name}**, trained on the base model **{hf_base_model}**.
-
-### Usage
-
-To use this model, you'll need the `diffusers` library.
-
-```python
-from diffusers import AutoPipelineForText2Image
-import torch
-
-device = "cuda" if torch.cuda.is_available() else "cpu"
-pipe = AutoPipelineForText2Image.from_pretrained("{hf_base_model}").to(device)
-pipe.load_lora_weights("{repo_name}", weight_name="{weight_filename or 'your_lora.safetensors'}")
-
-prompt = "{trained_words[0] if trained_words else 'A sample prompt'}"
-image = pipe(prompt).images[0]
-image.save("output.png")