webbase_loader.py

from langchain_community.document_loaders import WebBaseLoader
from bs4 import BeautifulSoup
from langchain_groq import ChatGroq
from dotenv import load_dotenv
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import PromptTemplate
from langchain.schema.runnable import RunnableSequence
import os

url='https://www.deathwishcoffee.com/?srsltid=AfmBOooKq0mAKywLJL-FAFtqCfVdMg1ZwDt6INxFcltDEWIyruvbKBxh'

loader=WebBaseLoader(url)
load_dotenv()

docs=loader.load()

GROQ_API_KEY = os.getenv("GROQ_API_KEY")

llm= ChatGroq(
    model='llama-3.3-70b-versatile'
)
parser=StrOutputParser()

prompt=PromptTemplate(
    template='answer the following {question} from the text: {text}',
    input_variables=["text", "question"],
)

chain=RunnableSequence(prompt, llm, parser)
final_result=chain.invoke({"text": docs[0].page_content, "question": "name of the darkest coffee"})
print(final_result)