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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
from langchain.llms import OpenAI
def generate_response(txt, openai_api_key):
try:
# Set up OpenAI API key
openai.api_key = openai_api_key
# Split text into chunks
text_splitter = CharacterTextSplitter()
texts = text_splitter.split_text(txt)
# Create documents from the text chunks
docs = [Document(page_content=t) for t in texts]
# Instantiate the OpenAI LLM model
llm = OpenAI(temperature=0, openai_api_key=openai_api_key)
# Create the summarization chain and summarize the documents
chain = load_summarize_chain(llm=llm, 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 and layout
st.set_page_config(page_title='🦜🔗 Text Summarization App')
st.title('🦜🔗 Text Summarization App')
# Text input area for user to input text
txt_input = st.text_area('Enter your text', '', height=200)
# Form to accept the 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('Summarizing...'):
response = generate_response(txt_input, openai_api_key)
# Display the response if available
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. Enter an identifier name (optional) and click on the `Create secret key` button.
""")
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