Update app.py

app.py

@@ -3,7 +3,8 @@ from dotenv import load_dotenv
 import gradio as gr
 from langchain_core.prompts import PromptTemplate
 from langchain_huggingface import HuggingFaceEndpoint
-from langchain_core.chains import LLMChain
+from langchain_core.output_parsers import StrOutputParser
+
 
 # Load environment variables
 load_dotenv()
@@ -29,12 +30,12 @@ Make sure the blog post is informative, engaging, and well-structured.
 blog_prompt_template = PromptTemplate(input_variables=["topic"], template=TEMPLATE)
 
 # Initialize the LLMChain with the HuggingFace model and prompt template
-blog_chain = LLMChain(llm=llm, prompt=blog_prompt_template)
+blog_chain =  blog_prompt_template | model | StrOutputParser()
 
 def generate_blog_post(topic: str, author_name: str) -> str:
     if topic:
         # Generate the blog post
-        blog_post = blog_chain.run({"topic": topic})
+        blog_post = blog_chain.invoke({"topic": topic})
 
         # Add author name if provided
         if author_name: