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Wotey/tutorfix #585

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merged 4 commits into from
Mar 21, 2024
Merged

Wotey/tutorfix #585

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4d8fb89
update tutor to only create one model
wotey Mar 21, 2024
66e3a55
add needed model back.
wotey Mar 21, 2024
1d703fc
update for fixes
wotey Mar 21, 2024
994fda8
update
wotey Mar 21, 2024
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28 changes: 3 additions & 25 deletions app/backend/approaches/MathTutor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -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
Expand All @@ -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
Expand Down Expand Up @@ -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:
Expand All @@ -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):
Expand Down
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