Prompts_and_Chains.py

# ******* THIS FILE CONTAINS ALL THE PROMPTS & CHAINS USED IN Functions.py ***********
from Templates import *
from langchain import PromptTemplate
from langchain.chains import LLMChain
from langchain.llms import OpenAI
from dotenv import load_dotenv
import os


class PromptTemplates:
    def __init__(self):
        self.json_prompt_template = PromptTemplate(
            input_variables=["user_stories", "json_structure"],
            template=convert_json_template,
        )

        self.user_story_prompt = PromptTemplate(
            input_variables=["project_name", "rfp_details"],
            template=user_story_template,
        )

        self.bot_prompt = PromptTemplate(
            input_variables=["context", "input"], template=bot_template
        )

        self.summary_prompt = PromptTemplate(
            input_variables=["project_name", "rfp_details"], template=summary_template
        )

        self.estimations_prompt_template = PromptTemplate(
            input_variables=[
                "project_summary",
                "user_stories",
                "tech_leads",
                "senior_developers",
                "junior_developers",
            ],
            template=estimations_template,
        )

        self.roadmap_prompt = PromptTemplate(
            input_variables=["project_input"], template=roadmap_template
        )


class LLMChains:

    def __init__(self):
        load_dotenv()
        openai_api_key = os.getenv("OPENAI_API_KEY")
        obj = PromptTemplates()

        # generate summary chain
        self.summary_chain = LLMChain(
            llm=OpenAI(model_name="gpt-3.5-turbo-16k", temperature=0.7),
            prompt=obj.summary_prompt,
            verbose="true",
        )

        # genrate bot conversastion
        self.bot_chain = LLMChain(
            llm=OpenAI(model_name="gpt-3.5-turbo-16k", temperature=0.7),
            prompt=obj.bot_prompt,
            verbose="true",
        )

        # genrate user stories user_story_template = """
        self.user_story_chain = LLMChain(
            llm=OpenAI(model_name="gpt-3.5-turbo-16k", temperature=0.7),
            prompt=obj.user_story_prompt,
            verbose="true",
        )

        # prompt template for json
        self.json_chain = LLMChain(
            llm=OpenAI(model_name="gpt-3.5-turbo-16k", temperature=0.7),
            prompt=obj.json_prompt_template,
            verbose="true",
        )

        self.estimations_chain = LLMChain(
            llm=OpenAI(model_name="gpt-3.5-turbo-16k", temperature=0.7),
            prompt=obj.estimations_prompt_template,
            verbose="true",
        )

        self.roadmap_chain = LLMChain(
            llm=OpenAI(model_name="gpt-3.5-turbo-16k", temperature=0.7),
            prompt=obj.roadmap_prompt,
            verbose=True,
        )