To get paper-qa2 functioning as a Streamlit app, you can follow these steps:

1. Install Dependencies:
   Ensure you have all the necessary dependencies installed, including Streamlit and paper-qa2.

   pip install streamlit pymupdf aiohttp anyio fhaviary[llm] html2text httpx litellm numpy pybtex pydantic-settings pydantic rich setuptools tantivy tenacity tiktoken

2. Set Up Environment Variables:
   Make sure to set the required environment variables for paper-qa2.

   export OPENAI_API_KEY=sk-… export CROSSREF_API_KEY=your_crossref_api_key export SEMANTIC_SCHOLAR_API_KEY=your_semantic_scholar_api_key

3. Create the Streamlit App:
   Create a new Python file (e.g., app.py) and set up the Streamlit interface. Here is an example of how you can integrate paper-qa2 with Streamlit:

   import streamlit as st import asyncio from paperqa import Docs, Settings, ask

   async def main(): doc_paths = [“myfile.pdf”, “myotherfile.pdf”] docs = Docs()

    for doc in doc_paths:
        await docs.aadd(doc)
   
    question = st.text_input("Enter your question:")
    if st.button("Get Answer"):
        answer = await docs.aquery(question)
        st.write(answer.formatted_answer)
   

   asyncio.run(main())

4. Run the Streamlit App:
   Run your Streamlit app using the following command:

   streamlit run app.py

This setup will create a basic Streamlit app that allows you to input a question and get an answer using paper-qa2. For more advanced features, you can expand the Streamlit interface and handle additional functionalities like error handling and logging as described in the paper-qa2 documentation [1][2][3].