Update app.py

app.py

@@ -117,7 +117,7 @@ class ChatDocumentQA:
         memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)
 
         # llm = ChatOpenAI(temperature=0)
-        llm=AzureChatOpenAI(azure_deployment = "GPT3-INS")
+        llm=AzureChatOpenAI(azure_deployment = "GPT-3")
 
         return ConversationalRetrievalChain.from_llm(llm=llm, retriever=vectorstore.as_retriever(),
                                                      condense_question_prompt=CONDENSE_QUESTION_PROMPT,
@@ -141,7 +141,7 @@ class ChatDocumentQA:
             # memory,tools,prompt = self.create_memory_for_csv_qa(tools)
             # agent_chain = self.create_agent_chain_for_csv_qa(memory,tools,prompt)
             agent_chain = create_csv_agent(
-                          AzureChatOpenAI(azure_deployment = "GPT3-INS"),
+                          AzureChatOpenAI(azure_deployment = "GPT-3"),
                           file_path,
                           verbose=True,
                           agent_type=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
@@ -175,7 +175,7 @@ class ChatDocumentQA:
 #************************
     def create_agent(self,file_path):
         agent_chain = create_csv_agent(
-        AzureChatOpenAI(azure_deployment = "GPT3-INS"),
+        AzureChatOpenAI(azure_deployment = "GPT-3"),
         file_path,
         verbose=True,
         agent_type=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
@@ -212,7 +212,7 @@ class ChatDocumentQA:
 
     def create_agent_chain_for_csv_qa(self,memory,tools,prompt):
 
-        llm_chain = LLMChain(llm=AzureChatOpenAI(azure_deployment = "GPT3-INS"), prompt=prompt)
+        llm_chain = LLMChain(llm=AzureChatOpenAI(azure_deployment = "GPT-3"), prompt=prompt)
         agent = ZeroShotAgent(llm_chain=llm_chain, tools=tools, verbose=True)
         agent_chain = AgentExecutor.from_agent_and_tools(
             agent=agent, tools=tools, verbose=True, memory=memory