Update app.py

app.py

@@ -1,7 +1,6 @@
 # import part
 import streamlit as st
 from transformers import pipeline
-import torch
 import soundfile as sf
 import numpy as np
 
@@ -14,13 +13,12 @@ def img2text(url):
 
 # text2story
 def text2story(text):
-    story_text_model = pipeline("text-generation", model="Qwen/QwQ-32B")
+    story_text_model = pipeline("text-generation", model="meta-llama/Llama-3.1-8B")
     story = story_text_model(text, max_length=150)[0]['generated_text']
     return story
 
 # text2audio
 def text2audio(story_text):
-    # Here we will use a text-to-speech model from Hugging Face
     tts_model = pipeline("text-to-speech", model="tts_models/en/ljspeech/tacotron2")
     audio_data = tts_model(story_text)