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import streamlit as st 
import re
import openai
from paraphrase_post import get_original_url , paraphrased_post
from advance_post import google_search , advanced_post
from langchain_community.chat_models import ChatOpenAI
from langchain_cohere import ChatCohere
# from langchain_nvidia_ai_endpoints import ChatNVIDIA

#from langchain import HuggingFaceHub


def main():
    st.title("LinkedIn Post Creator")
    
    # Initialize SessionState dictionary
    session_state = st.session_state
    
    if 'paraphrase' not in session_state:
        session_state.paraphrase = ""
    if 'keywords' not in session_state:
        session_state.keywords = ""
    if 'take_aways' not in session_state:
        session_state.take_aways = ""
    if 'highlights' not in session_state:
        session_state.highlights = ""

    if 'advancepost' not in session_state:
        session_state.advancepost = ""
   
    url = st.sidebar.text_input("Enter URL:", placeholder="Enter URL here...")
    option = st.sidebar.selectbox('Select Model:', ('GPT-4',"Cohere"))
    temperature= st.sidebar.select_slider(
    'How much accurate post you want ?',
    options=['Less accuracy', 9, 8, 7, 6, 5,4,3 ,2,1,'High accuracy'])
    if temperature=='Less accuracy':
        temperature=10
    elif temperature=="High accuracy":
        temperature=0
    temperature=temperature/10


    if option=="GPT-4":
        api_key=st.sidebar.text_input("API Key:",placeholder="Enter OpenAI API Key...")
        if api_key:
            model=ChatOpenAI(model="gpt-4-turbo-preview" , temperature=temperature , api_key=api_key)
    elif option=="Cohere":
        api_key= st.sidebar.text_input("API Key:",placeholder="Enter Cohere API Key...")
        if api_key:
            model = ChatCohere(cohere_api_key=api_key , temperature = temperature , model = "command-r-plus")
    # elif option=="Mixtral-8x7b":
    #     api_key=st.sidebar.text_input("API Key:",placeholder="Enter NVIDIA NIM API Key...")
    #     if api_key:
    #         model = ChatNVIDIA(model="mixtral_8x7b",api_key = api_key , temperature=temperature)

    

  
    # elif option=="Llama-3":
    #     api_key=st.sidebar.text_input("API Key:",placeholder="Enter HuggingFace API Token...")
    #     if api_key:
    #         model=HuggingFaceHub(repo_id="mistralai/Mixtral-8x22B-Instruct-v0.1",huggingfacehub_api_token=api_key ,model_kwargs={"temperature":temperature})
            


            
    if st.sidebar.button("Submit"):
        if url:
            if api_key:
                original_url = get_original_url(url)
                match = re.match(r"https?://(?:www\.)?linkedin\.com/(posts|feed|pulse)/.*", original_url)  # checking domain and url page (means it should only be a post nothing else like login page or something else)

                if match:
                    try:
                        session_state.paraphrase, session_state.keywords, session_state.take_aways, session_state.highlights = paraphrased_post(url , model)
                    except (openai.AuthenticationError) as e:
                        st.sidebar.error("Enter your valid API key")
                else:
                    st.sidebar.error("Put a valid LinkedIn post url only")
            else:
                st.sidebar.error("Please enter API Key")
        else:
            st.sidebar.error("Please enter url")

    # def stream_data():
    #     import time 
    #     for word in session_state.paraphrase.split(" "):
    #         yield word + " "
    #         time.sleep(0.02)
    
            
    #         st.write_stream(word +" ")
    
    paraphrase_text=st.text_area("Generated LinkedIn post",value=session_state.paraphrase, height=400)
    # import pyperclip
    # if st.button('Copy'):
    #     pyperclip.copy(paraphrase_text)
    #     st.success('Text copied successfully!')
                
    if st.sidebar.toggle("Show Details") and session_state.keywords:
        st.write("Keywords:")
        for i, statement in enumerate(session_state.keywords, start=1):
            st.write(f"{i}. {statement}")
    
        st.write("Take Aways:")
        for i, statement in enumerate(session_state.take_aways, start=1):
            st.write(f"{i}. {statement}")

        st.write("Highlights:")
        for i, statement in enumerate(session_state.highlights, start=1):
            st.write(f"{i}. {statement}")

#------------------------------------------------------------Advance LinkedIn post code below-----------------------------------------------------------------
   
    if st.sidebar.toggle("Advance LinkedIn Post"):
        google_api_key=st.sidebar.text_input("Google API Key:",placeholder="Enter Google Search API Key...")
        search_engine_id=st.sidebar.text_input("Search Engine ID:",placeholder="Enter Search Engine ID...")
        google_api_key = "AIzaSyABoOsfUbydc1AfVf2Zjto4MFWNgjLSJmY"
        search_engine_id = "243a392ba3dff442c"
        if st.sidebar.button("Generate Advance Post"):
            if google_api_key:
                if search_engine_id:
                    all_links =google_search(session_state.paraphrase ,model , google_api_key,search_engine_id)
                    session_state.advancepost = advanced_post(all_links ,model ,session_state.paraphrase)
                    # if len(docs)==0:
                    #     st.sidebar.error("Please Check your both credentials carefully")
       
                else:
                    st.sidebar.error("Please enter Search Engine ID")
            else:
                st.sidebar.error("Please enter Google API Key")
        advance_post=st.text_area("Advance LinkedIn post",value=session_state.advancepost, height=400) 
            
    
        # if st.button('Copy Advanced Post'):
        #     pyperclip.copy(advance_post)
        #     st.success('Text copied successfully!')
#--------------------------------------------------------------------------------------------------------------------------------------------------------------

if __name__ == "__main__":
    main()