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,