correct env

app.py

@@ -244,7 +244,7 @@ class DB_Search2(BaseTool):
 
 def Text2Sound(text):
 
-    speech_config = speechsdk.SpeechConfig(subscription=os.getenv('SPEECH_KEY'), region=os.getenv('SPEECH_REGION'))
+    speech_config = speechsdk.SpeechConfig(subscription=os.environ['SPEECH_KEY'], region=os.environ['SPEECH_REGION'])
     audio_config = speechsdk.audio.AudioOutputConfig(use_default_speaker=True)
     speech_config.speech_synthesis_voice_name='en-US-JennyNeural'
     # speech_synthesizer = ""
@@ -380,18 +380,18 @@ python_tool2 = Tool(
 
 
 os.environ["OPENAI_API_TYPE"] = "azure"
-os.environ["OPENAI_API_KEY"] = os.getenv("OPENAI_API_KEY")
-os.environ["OPENAI_API_BASE"] = os.getenv("OPENAI_API_BASE")
-os.environ["OPENAI_API_VERSION"] = os.getenv("OPENAI_API_VERSION")
+os.environ["OPENAI_API_KEY"] = os.environ["OPENAI_API_KEY"]
+os.environ["OPENAI_API_BASE"] = os.environ["OPENAI_API_BASE"]
+os.environ["OPENAI_API_VERSION"] = os.environ["OPENAI_API_VERSION"]
 # os.environ["OPENAI_API_VERSION"] = "2023-05-15"
-username = os.getenv("username1")
-password = os.getenv("password")
-SysLock = os.getenv("SysLock") # 0=unlock 1=lock
+username = os.environ["username1"]
+password = os.environ["password"]
+SysLock = os.environ["SysLock"] # 0=unlock 1=lock
 
 # deployment_name="Chattester"
 
 chat = AzureChatOpenAI(
-    deployment_name=os.getenv("deployment_name"),
+    deployment_name=os.environ["deployment_name"],
     temperature=0,
 )
 llm = chat
@@ -416,7 +416,7 @@ embeddings = OpenAIEmbeddings(deployment="model_embedding", chunk_size=15)
 
 
 pinecone.init(      
-	api_key = os.getenv("pinecone_api_key"),      
+	api_key = os.environ["pinecone_api_key"],      
 	environment='asia-southeast1-gcp-free',
     # openapi_config=openapi_config      
 )
@@ -511,7 +511,7 @@ agent_ZEROSHOT_REACT = initialize_agent(tools2, llm,
                          agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
                          verbose = True,
                          handle_parsing_errors = True,
-                         max_iterations = int(os.getenv("max_iterations")),
+                         max_iterations = int(os.environ["max_iterations"]),
                          early_stopping_method="generate",
                          agent_kwargs={
                             'prefix': PREFIX,
@@ -540,7 +540,7 @@ agent_ZEROSHOT_AGENT = AgentExecutor.from_agent_and_tools(
     verbose=True, 
     # memory=memory,
     handle_parsing_errors = True,
-    max_iterations = int(os.getenv("max_iterations")),
+    max_iterations = int(os.environ["max_iterations"]),
     early_stopping_method="generate",
     )
 
@@ -550,7 +550,7 @@ agent_OPENAI_MULTI = AgentExecutor.from_agent_and_tools(
     verbose=True, 
     # memory=memory_openai,
     handle_parsing_errors = True,
-    max_iterations = int(os.getenv("max_iterations")),
+    max_iterations = int(os.environ["max_iterations"]),
     early_stopping_method="generate",
     )
 
@@ -559,7 +559,7 @@ agent_OPENAI_MULTI = AgentExecutor.from_agent_and_tools(
 # agent.early_stopping_method = "generate"
 
 global agent
-Choice = os.getenv("agent_type")
+Choice = os.environ["agent_type"]
 
 if Choice =='Zero Short Agent':
     agent = agent_ZEROSHOT_AGENT
@@ -654,7 +654,7 @@ def func_upload_file(files, chat_history2):
     for file in files:
         chat_history2 = chat_history2 + [((file.name,), None)]
     yield chat_history2
-    if os.getenv("SYS_Upload_Enable") == "1":
+    if os.environ["SYS_Upload_Enable"] == "1":
         UpdateDb()
     test_msg = ["Request Upload File into DB", "Operation Finished"]
     chat_history2.append(test_msg)
@@ -992,7 +992,7 @@ def QAQuery_p(question: str):
     global vectordb_p
     # vectordb = Chroma(persist_directory='db', embedding_function=embeddings)
     retriever = vectordb_p.as_retriever()
-    retriever.search_kwargs['k'] = int(os.getenv("search_kwargs_k"))
+    retriever.search_kwargs['k'] = int(os.environ["search_kwargs_k"])
     # retriever.search_kwargs['fetch_k'] = 100
 
     qa = RetrievalQA.from_chain_type(llm=chat, chain_type="stuff",