Create app.py

app.py

@@ -0,0 +1,23 @@
+import streamlit as st
+from transformers import pipeline
+
+# Load the pre-trained language model
+generator = pipeline("text-generation", model="gpt-2")
+
+# Streamlit app
+st.title("Blog Post Generator")
+st.write("Generate a blog post for a given topic using GPT-2.")
+
+# Input for the blog post topic
+topic = st.text_input("Enter a blog post topic:")
+
+if st.button("Generate"):
+    if topic:
+        # Generate a blog post based on the given topic
+        with st.spinner("Generating blog post..."):
+            result = generator(f"Blog post topic: {topic}\n\nBlog post content:", max_length=500)
+            blog_post = result[0]['generated_text']
+        st.subheader("Generated Blog Post")
+        st.write(blog_post)
+    else:
+        st.warning("Please enter a topic to generate the blog post.")