add docstring comment

hw4/app.py

@@ -1,4 +1,4 @@
-# derived from https://github.com/wu4f/cs410g-src/blob/main/05_CodeSummarize/01_python_parser.py
+
 from langchain_community.document_loaders.generic import GenericLoader
 from langchain_community.document_loaders.parsers import LanguageParser
 from langchain_openai import ChatOpenAI
@@ -14,6 +14,14 @@ load_dotenv()
 
 llm = ChatOpenAI(model_name="gpt-4-turbo", temperature=0)
 
+"""
+Per the prompt below, This agent will de-obfuscate javascript source files, from either the web or a local source, and will apply appropriate commenting and formatting. 
+A summary of actions taken will be provided, or a reason for rejection will be provided. 
+An elapsed time will also be shown.
+
+derived from https://github.com/wu4f/cs410g-src/blob/main/05_CodeSummarize/01_python_parser.py
+"""
+
 
 def deobfuscate(path: str):
     if url(path):
@@ -26,7 +34,7 @@ def deobfuscate(path: str):
             parser=LanguageParser(),
         )
     docs = loader.load()
-    prompt1 = PromptTemplate.from_template(
+    prompt = PromptTemplate.from_template(
         """You are an expert javascript de-obfuscater. Carefully analyze the following code and de-obduscate, by applying proper formatting, commenting, and re-naming as necessary.
 
         Along with this response, make a note of the changes made. If the input is anything other than obfuscated javascript, respond with "Invalid Input:" follwed by the reason why.
@@ -35,7 +43,7 @@ def deobfuscate(path: str):
         """
     )
 
-    chain = {"text": RunnablePassthrough()} | prompt1 | llm | StrOutputParser()
+    chain = {"text": RunnablePassthrough()} | prompt | llm | StrOutputParser()
     output = "\n".join([d.page_content for d in docs])
     result = chain.invoke(output)
     return result