Update app.py

app.py

@@ -4,21 +4,16 @@ import torch
 
 # Load tokenizer and model
 tokenizer = AutoTokenizer.from_pretrained("microsoft/phi-2", trust_remote_code=True)
-
-
-
 model = AutoModelForCausalLM.from_pretrained(
     "microsoft/phi-2", torch_dtype=torch.float32, device_map="auto", trust_remote_code=True
 )
 
-
 # Streamlit app
 st.title("Fake news Generation with Transformers Microsoft phi-2")
-
 st.image("https://raw.githubusercontent.com/noorkhokhar99/NewsGuardian/main/logo.jpeg")
 
 # User input
-prompt = st.text_area("Enter your prompt:", "This news is real or fake you get results from here NewsGuardian")
+prompt = st.text_area("Enter your prompt:", "This news is real or fake; you get results from here NewsGuardian")
 
 # Generate output
 if st.button("Generate"):