# from langchain_google_genai import GoogleGenerativeAI
# import requests
# from bs4 import BeautifulSoup
# from dotenv import load_dotenv
# import os
# load_dotenv()


# class RAG:
#     def __init__(self):
#         self.url = 'https://lalitmahale.github.io'
#         self.llm = GoogleGenerativeAI(google_api_key=os.getenv("GOOGLE_API"),model="gemini-1.5-pro")

    
#     def get_data(self):
#         try:
#             res = requests.get(self.url)
#             soup = BeautifulSoup(res.content, "html.parser")
#             return soup.get_text()
#         except Exception as e:
#             print(e)

#     def clean_text(self):
#         return self.get_data().replace("\n","")

#     def prompt(self):
#         return """You are a helpfull assistant for me and Your name is lalit mahale. understand the below context and give answer for user question.
        
#         context : {context}\n\nQuestion : {question}\n\nGive proper answer for this questions."""


#     def pipeline(self,query):
#         try:
#             prompt = self.prompt().format(context = self.clean_text(),question = query)
#             return self.llm.invoke(prompt)
#         except Exception as e:
#             print(e)
    

# if __name__ == "__main__":
#     res = RAG().pipeline("who is lalit mahale")
#     print(res)