Update app.py

app.py

@@ -1,18 +1,5 @@
 import streamlit as st
 from transformers import pipeline
 
-# Create a Streamlit title and description
-st.title("Random Diffusion with Hugging Face")
-st.write("Generate random text using Hugging Face's Transformers library")
-
-# Load the text generation pipeline
-generator = pipeline("text-generation", model="EleutherAI/gpt-neo-2.7B")
-
-# Create a Streamlit button to generate random text
-if st.button("Generate Random Text"):
-    # Generate random text using the GPT-Neo model
-    text = generator("Hello, ", max_length=100)[0]['generated_text']
-    
-    # Display the generated text
-    st.write("Generated Text:")
-    st.write(text)
+st.title("7B demo")
+write.st("enter a description")