Create contextualize_chain.py

contextualize_chain.py

@@ -0,0 +1,16 @@
+from langchain.chains import LLMChain
+from langchain_groq import ChatGroq
+from prompts import contextualize_prompt  # A new prompt for contextualizing the query
+
+class ContextualizeChain(LLMChain):
+    def format_query(self, user_query: str, chat_history: list) -> str:
+        # Use invoke() to format the query based on chat history
+        return self.invoke({"input": user_query, "chat_history": chat_history})
+
+def get_contextualize_chain():
+    chat_groq_model = ChatGroq(model="Gemma2-9b-It", groq_api_key=os.environ["GROQ_API_KEY"])
+    chain = ContextualizeChain(
+        llm=chat_groq_model,
+        prompt=contextualize_prompt  # A prompt for contextualizing the question
+    )
+    return chain