Update app.py

app.py

@@ -52,13 +52,13 @@ async def gen(prompt, basemodel, w, h, scales, steps, seed, upscale_factor, proc
         upscale_image_path = get_upscale_finegrain(combined_prompt, image_path, upscale_factor)
         if upscale_image_path:
             Image.open(upscale_image_path).save(DATA_PATH / f"upscale_image_{seed}.jpg", format="JPEG")
-            image_path.unlink()  # Borra la imagen original
+            image_path.unlink() 
             return [str(DATA_PATH / f"upscale_image_{seed}.jpg"), str(prompt_file_path)]
     return [str(image_path), str(prompt_file_path)]
 
 async def improve_prompt(prompt, language):
     instruction = "With this idea, describe in English a detailed txt2img prompt in 500 characters at most..." if language == "en" else "Con esta idea, describe en español un prompt detallado de txt2img..."
-    response = await llm_client.text_generation(f"{prompt}: {instruction}", max_new_tokens=500)
+    response = llm_client.text_generation(f"{prompt}: {instruction}", max_new_tokens=500)
     return response.get('generated_text', '').strip()[:500]
 
 def save_image(image, seed):