Merge branch 'pre/beta' of https://github.com/ScrapeGraphAI/Scrapegraph-ai into pre/beta

Author: VinciGit00

scrapegraphai/nodes/fetch_node.py

@@ -4,7 +4,7 @@
 
 import json
 from typing import List, Optional
-from langchain_openai import ChatOpenAI
+from langchain_openai import ChatOpenAI, AzureChatOpenAI
 import pandas as pd
 import requests
 from langchain_community.document_loaders import PyPDFLoader
@@ -221,7 +221,7 @@ def handle_local_source(self, state, source):
 
         parsed_content = source
 
-        if isinstance(self.llm_model, ChatOpenAI) and not self.script_creator or self.force and not self.script_creator:
+        if (isinstance(self.llm_model, ChatOpenAI) or isinstance(self.llm_model, AzureChatOpenAI)) and not self.script_creator or self.force and not self.script_creator:
             parsed_content = convert_to_md(source)
         else:
             parsed_content = source
@@ -258,7 +258,7 @@ def handle_web_source(self, state, source):
                 if not self.cut:
                     parsed_content = cleanup_html(response, source)
 
-                if  (isinstance(self.llm_model, ChatOpenAI)
+                if  ((isinstance(self.llm_model, ChatOpenAI) or isinstance(self.llm_model, AzureChatOpenAI))
                      and not self.script_creator) or (self.force and not self.script_creator):
                     parsed_content = convert_to_md(source, parsed_content)
 
@@ -287,7 +287,7 @@ def handle_web_source(self, state, source):
                 raise ValueError("No HTML body content found in the document fetched by ChromiumLoader.")
             parsed_content = document[0].page_content
 
-            if  isinstance(self.llm_model, ChatOpenAI) and not self.script_creator or self.force and not self.script_creator and not self.openai_md_enabled:
+            if (isinstance(self.llm_model, ChatOpenAI) or isinstance(self.llm_model, AzureChatOpenAI))  and not self.script_creator or self.force and not self.script_creator and not self.openai_md_enabled:
                 parsed_content = convert_to_md(document[0].page_content, parsed_content)
 
             compressed_document = [