Update app.py

app.py

@@ -86,7 +86,7 @@ async def gen(prompt, basemodel, width, height, scales, steps, seed, upscale_fac
 
 async def improve_prompt(prompt):
     try:
-        instruction = ("With this idea, describe in English a detailed txt2img prompt in a single paragraph of up to 200 characters maximum, developing atmosphere, characters, lighting, and cameras.")
+        instruction = ("With this idea, describe in English a detailed txt2img prompt in a single paragraph of up to 100 characters maximum, developing atmosphere, characters, lighting, and cameras.")
         formatted_prompt = f"{prompt}: {instruction}"
         response = llm_client.text_generation(formatted_prompt, max_new_tokens=200)
         improved_text = response['generated_text'].strip() if 'generated_text' in response else response.strip()