gemini

app.py

@@ -125,16 +125,16 @@ 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,api_key=openai_api_key)
+    #llm_client = ChatOpenAI(model='gpt-4o',temperature=0,api_key=openai_api_key)
 
     tavily_api_key = os.getenv("TAVILY_API_KEY")
     if not tavily_api_key:
@@ -219,17 +219,17 @@ 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
     # The agent will reason and take actions based on retrieved tools and memory.