diff --git a/summerizer_concise.py b/summerizer_concise.py
new file mode 100644
index 0000000..30e2d5d
--- /dev/null
+++ b/summerizer_concise.py
@@ -0,0 +1,67 @@
+import argparse
+
+from langchain.chains.llm import LLMChain
+from langchain.chains.summarize import load_summarize_chain
+from langchain.prompts import PromptTemplate
+from langchain_community.chat_models import ChatOllama
+from langchain_community.document_loaders import WebBaseLoader
+
+
+def setup_argparse():
+    """Setup argparse to parse command line arguments."""
+    parser = argparse.ArgumentParser(
+        description="Summarize a document from a given URL."
+    )
+    parser.add_argument(
+        "-u", "--url", required=True, help="URL of the document to summarize"
+    )
+    return parser.parse_args()
+
+
+def load_document(url):
+    """Load document from the specified URL."""
+    loader = WebBaseLoader(url)
+    return loader.load()
+
+
+def setup_summarization_chain():
+    """Setup the summarization chain with a prompt template and ChatOllama."""
+    prompt_template = PromptTemplate(
+        template="""As a professional summarizer, create a concise and comprehensive summary of the provided text, be it an article, post, conversation, or passage, while adhering to these guidelines:
+            1. Craft a summary that is detailed, thorough, in-depth, and complex, while maintaining clarity and conciseness.
+
+            2. Incorporate main ideas and essential information, eliminating extraneous language and focusing on critical aspects.
+
+            3. Rely strictly on the provided text, without including external information.
+
+            4. Format the summary in paragraph form for easy understanding.
+
+            5.Conclude your notes with [End of Notes, Message #X] to indicate completion, where "X" represents the total number of messages that I have sent. In other words, include a message counter where you start with #1 and add 1 to the message counter every time I send a message.
+
+        By following this optimized prompt, you will generate an effective summary that encapsulates the essence of the given text in a clear, concise, and reader-friendly manner.
+
+        Write a short concise summary of the following:
+
+        "{text}"
+
+        CONCISE SUMMARY:""",
+        input_variables=["text"],
+    )
+
+    llm = ChatOllama(model="llama2")
+    llm_chain = LLMChain(llm=llm, prompt=prompt_template)
+    return llm_chain
+
+
+def main():
+    args = setup_argparse()
+    docs = load_document(args.url)
+
+    llm_chain = setup_summarization_chain()
+    result = llm_chain.run(docs)
+
+    print(result)
+
+
+if __name__ == "__main__":
+    main()