Update app.py

app.py

@@ -2,8 +2,7 @@ from transformers import pipeline
 import gradio as gr
 
 # Initialize the text generation pipeline with optimizations
-pipe = pipeline("text-generation", model="SakanaAI/DiscoPOP-zephyr-7b-gemma", torch_dtype=torch.float16, low_cpu_mem_usage=True)
-
+pipe = pipeline("text-generation", model="SakanaAI/EvoLLM-JP-v1-7B")
 # Define a function to generate text based on user input
 def generate_text(prompt):
     result = pipe(prompt, max_length=50, num_return_sequences=1)