Update app.py

app.py

@@ -3,16 +3,16 @@ import spaces
 
 import torch
 from diffusers import FluxPipeline
+from huggingface_hub.utils import RepositoryNotFoundError
 
 pipeline = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.float16).to("cuda")
-#pipeline.enable_model_cpu_offload()
 
 @spaces.GPU(duration=70)
 def generate(prompt, negative_prompt, width, height, sample_steps, lora_id):
     try:
         pipeline.load_lora_weights(lora_id)
-    except Exception as e:
-        return f"An error occured while loading the adapter: {e}."
+    except RepositoryNotFoundError:
+        raise ValueError(f"Recieved invalid FLUX LoRA.")
     
     return pipeline(prompt=f"{prompt}\nDO NOT INCLUDE {negative_prompt}", width=width, height=height, num_inference_steps=sample_steps, generator=torch.Generator("cpu").manual_seed(42), guidance_scale=7).images[0]