client.py

import os
from openai import AzureOpenAI
from dotenv import load_dotenv

from enum import Enum


found_dotenv = load_dotenv(
    "config.txt",
    override=True
)

if not found_dotenv: 
    raise ValueError("Could not detect .env-file.")

AZURE_OPENAI_API_KEY = os.environ.get("AZURE_OPENAI_API_KEY")
AZURE_OPENAI_ENDPOINT = os.environ.get("AZURE_OPENAI_ENDPOINT")
OPENAI_API_VERSION = os.environ.get("OPENAI_API_VERSION")

class OpenAIModels(Enum):
    GPT_3 = "gpt3"
    GPT_4 = "gpt4"
    EMBED = "embed"

    @classmethod
    def get_all_values(cls):
        return [member.value for member in cls]


def get_openai_client(model: str) -> AzureOpenAI:
    if not model in OpenAIModels.get_all_values():
        raise ValueError(f"<model> needs to be one of {OpenAIModels.get_all_values()}.")
    
    if any(p is None for p in (AZURE_OPENAI_API_KEY, AZURE_OPENAI_API_KEY, OPENAI_API_VERSION)):
        raise ValueError(
            f"""None of the following parameters can be none: 
            AZURE_OPENAI_API_KEY: {AZURE_OPENAI_API_KEY},
            AZURE_OPENAI_API_KEY: {AZURE_OPENAI_API_KEY},
            OPENAI_API_VERSION: {OPENAI_API_VERSION}
            """
        )
    
    client = AzureOpenAI(
        api_key=AZURE_OPENAI_API_KEY,
        azure_endpoint=AZURE_OPENAI_ENDPOINT,
        api_version=OPENAI_API_VERSION, 
        azure_deployment=model
    )
    return client


class ChatGPT:
    def __init__(self, model="gpt4"):
        self.model = model
        self.client = get_openai_client(model=model)
        self.messages = []

    def chat_with_gpt(self, user_input: str):
        self.messages.append({
            "role": "user",
            "content": user_input
        })
        response = self._generate_response(self.messages)
        return response

    def _generate_response(self, messages):
        response = self.client.chat.completions.create(
            model=self.model,
            messages=messages,        
            temperature=0.2, 
            max_tokens=150,
            top_p=1.0
        )
        response_message = response.choices[0].message
        self.messages.append({
            "role": response_message.role,
            "content": response_message.content
        })

        return response_message.content