import langchain
import streamlit as st
import pickle as pkl
from langchain.chains import RetrievalQAWithSourcesChain
from langchain.document_loaders import UnstructuredURLLoader
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain.embeddings import SentenceTransformerEmbeddings
from langchain.vectorstores import Chroma, FAISS
from langchain_openai import ChatOpenAI
from dotenv import load_dotenv
import time

load_dotenv("ping.env")
api_key=os.getenv("OPENAI_API_KEY")
api_base=os.getenv("OPENAI_API_BASE")

llm=ChatOpenAI(model_name="google/gemma-3n-e2b-it:free",temperature=0)

path="embedmo.pkl"
m1=pkl.load(open(path,"rb"))

st.title("URL ANALYSER🔗")
st.sidebar.title("Give your URls🔗?")
mp=st.empty()


urs=[]
for i in range(3):
  url=st.sidebar.text_input(f"URL {i+1}🔗")
  urs.append(url)


purs=st.button("gotcha", disabled=not any(url.strip() for url in urs))
if purs:
  mp.text("Loading..URl..Loader....☑️☑️☑️")
  sic=UnstructuredURLLoader(urls=urs)
  docs=sic.load()
  mp.text("Loading..txt..splitter....☑️☑️☑️")
  tot=RecursiveCharacterTextSplitter.from_tiktoken_encoder(encoding_name="cl100k_base",chunk_size=512,chunk_overlap=16)
  doccs=tot.split_documents(docs)
  mp.text("Loading..VB...☑️☑️☑️")
  vv=FAISS.from_documents(doccs,m1)
  r2=vv.as_retriever(search_type="similarity",search_kwargs={"k":4})
  mp.text("Loading..Retri....☑️☑️☑️")
  ra1=RetrievalQAWithSourcesChain.from_chain_type(llm=llm,retriever=r2,chain_type="map_reduce")
  st.session_state.ra1=ra1
  mp.text("DB & Retri Done ✅✅✅")
  time.sleep(3)
query=mp.text_input("UR Question??")
if query:
  if "ra1" not in st.session_state:
    st.warning("pls give ur urls")
  else:
    with st.spinner("Wait for it..."):
      result=st.session_state.ra1({"question":query},return_only_outputs=True)
      st.header("Answer")
      st.subheader(result["answer"])
      g = st.button("Source")
      if g:
        sources = result.get("sources", "")
        st.subheader("Sources")
        for line in sources.split("\n"):
          st.write(line)