feat: Corregir manejo de excepción en app.py

El manejo de excepción en app.py ha sido corregido para lanzar una excepción de tipo `gr.Error` en lugar de utilizar `gr.Alert`. Esto asegura que se capture y maneje adecuadamente cualquier error que ocurra durante el proceso de aumento de resolución de imágenes.

app.py

@@ -10,41 +10,45 @@ with open('loras.json', 'r') as f:
 job = None
 
 def infer(selected_index, prompt, style_prompt, inf_steps, guidance_scale, width, height, seed, lora_weight, progress=gr.Progress(track_tqdm=True)):    
-    global job
-    if selected_index is None:
-        raise gr.Error("You must select a LoRA before proceeding.")
-    
-    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.submit(
-        custom_model=custom_model,
-        api_name="/load_model"
-    )
-    weight_name = result.result()[2]['value']
-
-    client = Client("fffiloni/sd-xl-custom-model")
-    prompt_arr = [trigger_word, prompt, style_prompt]
-    prompt = '. '.join([element.strip() for element in prompt_arr if element.strip() != ''])
-    
-    job = client.submit(
-        custom_model=custom_model,
-        weight_name=weight_name,
-        prompt=prompt,
-        inf_steps=inf_steps,
-        guidance_scale=guidance_scale,
-        width=width,
-        height=height,
-        seed=seed,
-        lora_weight=lora_weight,
-        api_name="/infer"
-    )
-    result = job.result()
-    new_result = result + (prompt, )
+    try:
 
-    return new_result
+        global job
+        if selected_index is None:
+            raise gr.Error("You must select a LoRA before proceeding.")
+        
+        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.submit(
+            custom_model=custom_model,
+            api_name="/load_model"
+        )
+        weight_name = result.result()[2]['value']
+
+        client = Client("fffiloni/sd-xl-custom-model")
+        prompt_arr = [trigger_word, prompt, style_prompt]
+        prompt = '. '.join([element.strip() for element in prompt_arr if element.strip() != ''])
+        
+        job = client.submit(
+            custom_model=custom_model,
+            weight_name=weight_name,
+            prompt=prompt,
+            inf_steps=inf_steps,
+            guidance_scale=guidance_scale,
+            width=width,
+            height=height,
+            seed=seed,
+            lora_weight=lora_weight,
+            api_name="/infer"
+        )
+        result = job.result()
+        new_result = result + (prompt, )
+
+        return new_result
+    except Exception as e:
+        gr.Warning("Error: " + str(e))
 
 def cancel_infer():
     global job