Update app.py

app.py

@@ -1,7 +1,18 @@
-import streamlit as st 
-st.title("7B demo")
-x = st.text("early demo version")
-x = st.slider("total correction")
-x = st.slider("accuracy ")
-x = st.button("start")
-x = st.text("note. this is stil in beta stage")
+import streamlit as st
+from transformers import pipeline
+
+# Load the Hugging Face pipeline
+nlp_pipeline = pipeline("text-generation", model="gpt2")
+
+# Streamlit app title and description
+st.title("Hugging Face Streamlit Demo")
+st.write("This app demonstrates how to use Hugging Face's models with Streamlit.")
+
+# User input for text generation
+user_input = st.text_input("Enter some text:", "")
+
+# Generate text using the Hugging Face model
+if user_input:
+    generated_text = nlp_pipeline(user_input, max_length=50, num_return_sequences=1)
+    st.write("Generated Text:")
+    st.write(generated_text[0]['generated_text'])