Update app.py

app.py

@@ -1,10 +1,10 @@
 import os
 from dotenv import load_dotenv
 import gradio as gr
-from langchain_core.prompts import PromptTemplate,ChatPromptTemplate
+from langchain_core.prompts import PromptTemplate
 from langchain_huggingface import HuggingFaceEndpoint
 from langchain_core.output_parsers import StrOutputParser
-
+from langchain_core.runnables import RunnableSequence
 
 # Load environment variables
 load_dotenv()
@@ -27,16 +27,17 @@ Make sure the blog post is informative, engaging, and well-structured.
 """
 
 # Create a prompt template instance
-blog_prompt_template = ChatPromptTemplate.from_template(template=TEMPLATE)
+blog_prompt_template = PromptTemplate(input_variables=["topic"], template=TEMPLATE)
 
-# Initialize the LLMChain with the HuggingFace model and prompt template
-blog_chain =  blog_prompt_template | model | StrOutputParser()
+# Initialize the sequence using RunnableSequence
+blog_chain = RunnableSequence(
+    llm | blog_prompt_template | StrOutputParser()
+)
 
-def generate_blog_post(topic: str, author_name: str) -> str:
+def generate_blog_post(topic: str) -> str:
     if topic:
         # Generate the blog post
         blog_post = blog_chain.invoke({"topic": topic})
-
         return blog_post
     else:
         return "Please enter a topic for the blog post."