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import streamlit as st
from langchain import HuggingFaceHub
from langchain.chains.question_answering import load_qa_chain
from langchain.document_loaders import UnstructuredURLLoader
import os
with st.sidebar:
st.title('🌎 Summarize your webpage')
st.markdown('''
## About
This app is using:
- [Streamlit](https://streamlit.io/)
- [LangChain](https://python.langchain.com/)
- [Flan Alpaca Large](https://huggingface.co/declare-lab/flan-alpaca-large) LLM model
## How it works
- Load up a web URL
- Send the request to the LLM using the *load_qa_chain* in langchain
- Get the answer and from Flan Alpaca Large LLM (open source model on HuggingFace)
''')
st.write('Made with 🤖 by [Cazimir Roman](https://cazimir.dev)')
def load_app():
llm = HuggingFaceHub(repo_id="declare-lab/flan-alpaca-large", model_kwargs={"temperature":0, "max_length":512})
col1, col2 = st.columns([0.8, 0.2])
url = col1.text_input('Enter a webpage url here to summarize')
col2.write("")
col2.write("")
summarize = col2.button("Summarize")
if url:
loader = UnstructuredURLLoader(urls=[url])
data = loader.load()
if summarize:
with st.spinner("Summarizing..."):
chain = load_qa_chain(llm=llm, chain_type="stuff")
response = chain.run(input_documents=data, question="Summarize this article in one paragraph")
st.success(response)
def main():
st.header("Summarize your webpage")
col1, col2 = st.columns([0.8, 0.2])
container = col1.container()
with container:
hugging_face_token = os.getenv("HUGGINGFACEHUB_API_TOKEN")
api_key = container.text_input("Enter your HuggingFace API token", type="password", value="" if hugging_face_token == None else hugging_face_token)
st.markdown('''You can find your token [here](https://huggingface.co/settings/tokens)''')
col2.write("")
col2.write("")
submit = col2.button("Submit")
if hugging_face_token:
load_app()
# submit button is pressed
if submit:
# check if api key length correct
if len(api_key) == 37:
os.environ["HUGGINGFACEHUB_API_TOKEN"] = api_key
load_app()
else:
st.error("Api key is not correct")
if __name__ == '__main__':
main() |