Updated app.py

app.py

@@ -17,7 +17,7 @@ good_vae = AutoencoderKL.from_pretrained("black-forest-labs/FLUX.1-dev", subfold
 # pipe.to(torch.float16)
 pipe.flux_pipe_call_that_returns_an_iterable_of_images = flux_pipe_call_that_returns_an_iterable_of_images.__get__(pipe)
 
-llm_client = Client("HuggingFaceH4/zephyr-7b-beta")  # or any other public gradio space/model
+llm_client = Client("huggingface-projects/gemma-2-9b-it") # or any other public gradio space/model
 # t2i_client = Client("black-forest-labs/FLUX.1-dev")
 # t2i_client = Client("black-forest-labs/FLUX.1-schnell")