se usa el lora de la galería

app.py

@@ -5,19 +5,27 @@ from gradio_client import Client
 
 with open('loras.json', 'r') as f:
     loras = json.load(f)
+    
 
-def infer (prompt, style_prompt, inf_steps, guidance_scale, width, height, seed, lora_weight, progress=gr.Progress(track_tqdm=True)):    
-    custom_model="lichorosario/dott_remastered_style_lora_sdxl"
-    weight_name="dott_style.safetensors"
+def infer (selected_index, prompt, style_prompt, inf_steps, guidance_scale, width, height, seed, lora_weight, progress=gr.Progress(track_tqdm=True)):    
+    if selected_index is None:
+        raise gr.Error("You must select a LoRA before proceeding.")
+    
+    # custom_model="lichorosario/dott_remastered_style_lora_sdxl"
+    # weight_name="dott_style.safetensors"
+    selected_lora = loras[selected_index]
+    custom_model = selected_lora["repo"]
+    trigger_word = selected_lora["trigger_word"]
 
     client = Client("fffiloni/sd-xl-custom-model")
     result = client.predict(
     		custom_model=custom_model,
     		api_name="/load_model"
     )
+    weight_name = result[2]['value']
 
     client = Client("fffiloni/sd-xl-custom-model")
-    prompt = "dott style. "+prompt+". "+style_prompt
+    prompt = trigger_word+". "+prompt+". "+style_prompt
     result = client.predict(
 		custom_model=custom_model,
 		weight_name=weight_name,
@@ -92,6 +100,7 @@ with gr.Blocks(css=css) as demo:
             style_prompt_in = gr.Textbox(
             label="Your Style Prompt"
             )   
+            selected_info = gr.Markdown("")
             used_prompt = gr.Textbox(
                 label="Used prompt"
             )
@@ -159,11 +168,25 @@ with gr.Blocks(css=css) as demo:
             )
     submit_btn = gr.Button("Submit")
     image_out = gr.Image(label="Image output")
+    selected_index = gr.State(None)
 
     submit_btn.click(
         fn = infer,
-        inputs = [prompt_in, style_prompt_in, inf_steps, guidance_scale, width, height, seed, lora_weight],
+        inputs = [selected_index, prompt_in, style_prompt_in, inf_steps, guidance_scale, width, height, seed, lora_weight],
         outputs = [image_out, last_used_seed, used_prompt]
     )
 
+def update_selection(evt: gr.SelectData):
+    selected_lora = loras[evt.index]
+    new_placeholder = f"Type a prompt for {selected_lora['title']}"
+    lora_repo = selected_lora["repo"]
+    updated_text = f"### Selected: [{lora_repo}](https://huggingface.co/{lora_repo}) ✨"
+    return (
+        gr.update(placeholder=new_placeholder),
+        updated_text,
+        evt.index
+    )
+
+gallery.select(update_selection, outputs=[prompt_in, selected_info, selected_index])
+
 demo.launch()

loras.json

@@ -4,5 +4,11 @@
   "title": "Day of the Tentacle Remastered",
   "repo": "lichorosario/dott_remastered_style_lora_sdxl",
   "trigger_word": "dott style"
+  },
+  {
+  "image": "images/sam_and_max.jpg",
+  "title": "Sam and Max",
+  "repo": "lichorosario/sam-and-max",
+  "trigger_word": ""
   }
 ]