fix: generate answer node

scrapegraphai/nodes/generate_answer_node.py

@@ -57,7 +57,7 @@ def __init__(
         self.is_md_scraper = node_config.get("is_md_scraper", False)
         self.additional_info = node_config.get("additional_info")
 
-    async def execute(self, state: dict) -> dict:
+    def execute(self, state: dict) -> dict:
         """
         Executes the GenerateAnswerNode.
 
@@ -123,7 +123,7 @@ async def execute(self, state: dict) -> dict:
             chain = prompt | self.llm_model
             if output_parser:
                 chain = chain | output_parser
-            answer = await chain.ainvoke({"question": user_prompt})
+            answer =  chain.invoke({"question": user_prompt})
 
             state.update({self.output[0]: answer})
             return state
@@ -143,7 +143,7 @@ async def execute(self, state: dict) -> dict:
                 chains_dict[chain_name] = chains_dict[chain_name] | output_parser
 
         async_runner = RunnableParallel(**chains_dict)
-        batch_results = await async_runner.ainvoke({"question": user_prompt})
+        batch_results =  async_runner.invoke({"question": user_prompt})
 
         merge_prompt = PromptTemplate(
             template=template_merge_prompt,
@@ -154,7 +154,7 @@ async def execute(self, state: dict) -> dict:
         merge_chain = merge_prompt | self.llm_model
         if output_parser:
             merge_chain = merge_chain | output_parser
-        answer = await merge_chain.ainvoke({"context": batch_results, "question": user_prompt})
+        answer =  merge_chain.invoke({"context": batch_results, "question": user_prompt})
 
         state.update({self.output[0]: answer})
         return state