Update app.py

app.py

@@ -16,10 +16,12 @@ gradio_client.utils.json_schema_to_python_type = lambda schema, defs=None: "stri
 load_dotenv()
 AZURE_OPENAI_API_KEY = os.getenv("AZURE_OPENAI_API_KEY")
 AZURE_OPENAI_ENDPOINT = os.getenv("AZURE_OPENAI_ENDPOINT")
+AZURE_END_POINT_O3 = os.getenv("AZURE_END_POINT_O3")
 AZURE_OPENAI_LLM_DEPLOYMENT = os.getenv("AZURE_OPENAI_LLM_DEPLOYMENT")
 AZURE_OPENAI_EMBEDDING_DEPLOYMENT = os.getenv("AZURE_OPENAI_EMBEDDING_DEPLOYMENT")
 
-if not all([AZURE_OPENAI_API_KEY, AZURE_OPENAI_ENDPOINT, AZURE_OPENAI_LLM_DEPLOYMENT, AZURE_OPENAI_EMBEDDING_DEPLOYMENT]):
+
+if not all([AZURE_OPENAI_API_KEY, AZURE_OPENAI_ENDPOINT,AZURE_END_POINT_O3, AZURE_OPENAI_LLM_DEPLOYMENT, AZURE_OPENAI_EMBEDDING_DEPLOYMENT]):
     raise ValueError("Missing one or more Azure OpenAI environment variables.")
 
 # Suppress warnings
@@ -28,7 +30,8 @@ warnings.filterwarnings("ignore")
 # Initialize Azure embedding model
 embeddings = AzureOpenAIEmbeddings(
     azure_deployment=AZURE_OPENAI_EMBEDDING_DEPLOYMENT,
-    azure_endpoint=AZURE_OPENAI_ENDPOINT,
+    #azure_endpoint=AZURE_OPENAI_ENDPOINT,
+    azure_endpoint=AZURE_END_POINT_O3
     openai_api_key=AZURE_OPENAI_API_KEY,
     openai_api_version="2025-01-01-preview",  # updated to latest recommended version
     chunk_size=1000
@@ -42,7 +45,8 @@ vectorstore = FAISS.load_local(
 # Initialize Azure chat model
 llm = AzureChatOpenAI(
     deployment_name=AZURE_OPENAI_LLM_DEPLOYMENT,
-    azure_endpoint=AZURE_OPENAI_ENDPOINT,
+    #azure_endpoint=AZURE_OPENAI_ENDPOINT,
+    azure_endpoint=AZURE_END_POINT_O3,
     openai_api_key=AZURE_OPENAI_API_KEY,
     openai_api_version="2025-01-01-preview",  # updated to latest recommended version
     temperature=0.5