switch to gemini apis + wiki tool

app.py

@@ -23,7 +23,7 @@ from langchain_openai import ChatOpenAI
 from openai import OpenAI
 
 # tools imported from helper.py
-from helper import repl_tool, get_travily_api_search_tool,text_downloader_limited_tool,audio_transcriber_tool
+from helper import repl_tool, get_travily_api_search_tool,text_downloader_limited_tool,audio_transcriber_tool,wikipedia_search_tool
 
 
 
@@ -132,15 +132,15 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     print(f"Using OpenAI API key: {openai_api_key[:4]}... (truncated for security)")
 
     #NMODEL
-    '''
+    
     llm_client = ChatGoogleGenerativeAI(
     model="gemini-2.0-flash",           # or another Gemini model name
     google_api_key=google_api_key, # your Gemini API key
     temperature=0,
     )
-    '''
     
-    llm_client = ChatOpenAI(model='gpt-4o',temperature=0.1,api_key=openai_api_key)
+    
+    #llm_client = ChatOpenAI(model='gpt-4o',temperature=0.1,api_key=openai_api_key)
 
     tavily_api_key = os.getenv("TAVILY_API_KEY")
     if not tavily_api_key:
@@ -149,7 +149,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     print(f"Using Tavily API key: {tavily_api_key[:4]}... (truncated for security)")
 
     travily_api_search_tool = get_travily_api_search_tool(tavily_api_key)
-    tools = [travily_api_search_tool, repl_tool, text_downloader_limited_tool,audio_transcriber_tool]
+    tools = [travily_api_search_tool, repl_tool, text_downloader_limited_tool,audio_transcriber_tool,wikipedia_search_tool]
 
     # Pull a predefined prompt from LangChain Hub
     # "hwchase17/react-chat" is a prompt template designed for ReAct-style conversational agents.
@@ -216,16 +216,16 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     # Initialize gemini model with streaming enabled
     # Streaming allows tokens to be processed in real-time, reducing response latency.
     #NMODEL
-    '''
+    
     summary_llm = ChatGoogleGenerativeAI(
         model="gemini-2.0-flash",           # or another Gemini model name
         google_api_key=google_api_key, # your Gemini API key
         temperature=0,
         streaming=True
     )
-    '''
     
-    summary_llm = ChatOpenAI(model='gpt-4o', temperature=0, streaming=True,api_key=openai_api_key)
+    
+    #summary_llm = ChatOpenAI(model='gpt-4o', temperature=0, streaming=True,api_key=openai_api_key)
 
 
     # Create a ReAct agent