import streamlit as st
import openai
from langchain.docstore.document import Document
from langchain.text_splitter import CharacterTextSplitter
from langchain.chains.summarize import load_summarize_chain

def generate_response(txt, openai_api_key):
    try:
        # Set up OpenAI API key
        openai.api_key = openai_api_key

        # Split text
        text_splitter = CharacterTextSplitter()
        texts = text_splitter.split_text(txt)

        # Create multiple documents
        docs = [Document(page_content=t) for t in texts]

        # Text summarization using langchain's summarization chain
        chain = load_summarize_chain(llm="openai", chain_type='map_reduce')
        return chain.run(docs)
    except Exception as e:
        st.error(f"An error occurred during summarization: {str(e)}")
        return None

# Page title
st.set_page_config(page_title='🦜🔗 Text Summarization App')
st.title('🦜🔗 Text Summarization App')

# Text input
txt_input = st.text_area('Enter your text', '', height=200)

# Form to accept user's text input for summarization
response = None
with st.form('summarize_form', clear_on_submit=True):
    openai_api_key = st.text_input('OpenAI API Key', type='password', disabled=not txt_input)
    submitted = st.form_submit_button('Submit')
    if submitted and openai_api_key.startswith('sk-'):
        with st.spinner('Calculating...'):
            response = generate_response(txt_input, openai_api_key)

if response:
    st.info(response)

# Instructions for getting an OpenAI API key
st.subheader("Get an OpenAI API key")
st.write("You can get your own OpenAI API key by following the instructions:")
st.write("""
1. Go to [OpenAI API Keys](https://platform.openai.com/account/api-keys).
2. Click on the `+ Create new secret key` button.
3. Next, enter an identifier name (optional) and click on the `Create secret key` button.
""")