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ChatCompletion refactoring #1

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ChatCompletion refactoring #1

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2 changes: 2 additions & 0 deletions API_Call_Via_ChatGPT/.gitignore
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Original file line number Diff line number Diff line change
@@ -0,0 +1,2 @@
.env
*.pyc
31 changes: 19 additions & 12 deletions API_Call_Via_ChatGPT/chat.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,15 +3,23 @@
# python chat.py
#########################################

import openai
from openai import OpenAI
import requests
from dotenv import load_dotenv
import os

# API end points
fdenquiry_url = 'http://127.0.0.1:8000/fdenquiry/'
fdmaturity_url = 'http://127.0.0.1:8000/fdmaturity/'

# Setup your own OpenAI API key
openai.api_key = "API_KEY"
# Setup OpenAI API
# Load the environment variables from .env file
load_dotenv()

client = OpenAI(
# Setup your own OpenAI API key
api_key= os.getenv("OPENAI_API_KEY")
)

class BankChat(object):
'''
Expand Down Expand Up @@ -76,34 +84,33 @@ def intent_detection(self, conversation):
chat_ml = [
{"role": "user", "content": self.INTENT_DETECTION_SETUP_PROMPT.format(conversation=conversation)}
]
response = openai.ChatCompletion.create(
response = client.chat.completions.create(
model="gpt-3.5-turbo",
messages=chat_ml,
temperature=0)

return response['choices'][0]['message']['content'].strip(" \n'")
return response.choices[0].message.content.strip(" \n'")

def fd_enquiry_details(self, conversation):
chat_ml = [
{"role": "user", "content": self.FD_ENQUIRY_DETAILS_PROMPT.format(conversation=conversation)}
]
response = openai.ChatCompletion.create(
response = client.chat.completions.create(
model="gpt-3.5-turbo",
messages=chat_ml,
temperature=0)

return response['choices'][0]['message']['content'].strip(" \n")
return response.choices[0].message.content.strip(" \n")

def fd_maturity_enquiry_details(self, conversation):
chat_ml = [
{"role": "user", "content": self.FD_MATURITY_ENQUIRY_DETAILS_PROMPT.format(conversation=conversation)}
]
response = openai.ChatCompletion.create(
response = client.chat.completions.create(
model="gpt-3.5-turbo",
messages=chat_ml,
temperature=0)

return response['choices'][0]['message']['content'].strip(" \n")
return response.choices[0].message.content.strip(" \n")

def conversation_chat(self):
conversation = "" # Captures the conversation between agent and the customer
Expand All @@ -116,12 +123,12 @@ def conversation_chat(self):
]

while True:
response = openai.ChatCompletion.create(
response = client.chat.completions.create(
model="gpt-3.5-turbo",
messages=chatml_messages
)

agent_response = response['choices'][0]['message']['content'].strip(" \n")
agent_response = response.choices[0].message.content.strip(" \n")

if "END_OF_CONVERSATION" in agent_response:
print("Agent: Thank you for connecting with us. Have a nice day!")
Expand Down