This is a Gradio-powered web application that allows users to search for academic papers on arXiv and ask questions about them. It uses natural language processing techniques to provide answers based on the content of the papers.

• Search for academic papers on arXiv.
• Ask questions about the content of the papers.
• Get answers generated by a language model.

Install Gradio and other required packages using pip:

pip install gradio arxiv-dl langchain langchain-community

Run the application with the following command:

python gradio_app.py

After starting the application, visit http:https://localhost:7860 in your web browser to interact with the application. You can enter a search query and a question related to the papers returned by the query.

If you want to share the application publicly, modify the launch() call in app.py to include share=True:

iface.launch(share=True)

Running the application with share=True will generate a public URL that you can share with others.

When sharing your Gradio app, be aware that users will have access to temporary files created by Gradio and files allowed via the allowed_paths parameter in launch(). Ensure that sensitive information is not exposed through your application and consider adding authentication if necessary.

Contributions to are welcome! Please feel free to submit pull requests or report issues.

this RAG app is licensed under the Apache License 2.0. See the LICENSE file for details.