Merge pull request #585 from microsoft/wotey/Tutorfix

Wotey/tutorfix

app/backend/approaches/MathTutor.py

@@ -46,7 +46,7 @@
 # 
 #______________________________________________________________________________________
 
-
+OPENAI_DEPLOYMENT_NAME =  azure_openai_chatgpt_deployment
 from langchain.chat_models import AzureChatOpenAI
 from langchain.schema import HumanMessage
 from langchain.agents import initialize_agent, load_tools
@@ -55,7 +55,7 @@
 
 model = AzureChatOpenAI(
     openai_api_version=OPENAI_API_VERSION ,
-    deployment_name=azure_openai_chatgpt_deployment)      
+    deployment_name=OPENAI_DEPLOYMENT_NAME)      
 
 #--------------------------------------------------------------------------------------------------------------------------------------------------
 # Addition of custom tools
@@ -151,15 +151,6 @@ def _arun(self, radius: int):
 
 # function to stream agent response 
 def process_agent_scratch_pad( question):
-    zero_shot_agent_math = initialize_agent(
-    agent="zero-shot-react-description",
-        tools=tools,
-    llm=model,
-    verbose=True,
-    max_iterations=10,
-    max_execution_time=120,
-    handle_parsing_errors=True,
-    return_intermediate_steps=True)
     messages = []
     for chunk in zero_shot_agent_math.stream({"input": question}):
         if "actions" in chunk:
@@ -177,27 +168,14 @@ def process_agent_scratch_pad( question):
 
 #Function to stream final output       
 def process_agent_response( question):
-    zero_shot_agent_math = initialize_agent(
-    agent="zero-shot-react-description",
-        tools=tools,
-    llm=model,
-    verbose=True,
-    max_iterations=10,
-    max_execution_time=120,
-    handle_parsing_errors=True,
-    return_intermediate_steps=True)
     stream = zero_shot_agent_math.stream({"input": question})
     output = "No output"
     if stream:
         for chunk in stream:
             if "output" in chunk:
                 output =    f'Final Output: {chunk["output"]}'
-    else:
-        return {"data": "No output"}
     return output
-    # for chunk in zero_shot_agent_math.stream({"input": question}):
-    #     if "output" in chunk:
-    #         yield {"data": f'Final Output: {chunk["output"]}'}
+
 
 #Function to process clues
 def generate_response(question):