Update app.py

app.py

@@ -265,6 +265,7 @@ def run_lora(prompt, image_input, image_strength, cfg_scale, steps, selected_ind
  lora_weights.append(lora_scale_1 if idx == 0 else lora_scale_2)
  lora_path = lora['repo']
  weight_name = lora.get("weights")
+ print(f"Lora Path: {lora_path}")
  if image_input is not None:
  if weight_name:
  pipe_i2i.load_lora_weights(lora_path, weight_name=weight_name, low_cpu_mem_usage=True, adapter_name=lora_name)
@@ -359,19 +360,19 @@ def add_custom_lora(custom_lora, selected_indices):
  existing_item_index = next((index for (index, item) in enumerate(loras) if item['repo'] == repo), None)
  if existing_item_index is None:
  if(repo.endswith(".safetensors") and repo.startswith("http")):
- downloaded_path = download_file(repo)
+ repo = download_file(repo)
  
  new_item = {
  "image": image if image is not None else "",
  "title": title,
- "repo": downloaded_path,
+ "repo": repo,
  "weights": path,
  "trigger_word": trigger_word
  }
  print(f"New LoRA: {new_item}")
  existing_item_index = len(loras)
  loras.append(new_item)
-
+ 
  # Update gallery
  gallery_items = [(item["image"], item["title"]) for item in loras]
  # Update selected_indices if there's room
@@ -395,6 +396,7 @@ def add_custom_lora(custom_lora, selected_indices):
  lora2 = loras[selected_indices[1]]
  selected_info_2 = f"### LoRA 2 Selected: [{lora2['title']}]({lora2['repo']}) ✨"
  lora_image_2 = lora2['image']
+ print("Chegou no final")
  return (
  gr.update(value=gallery_items),
  selected_info_1,