Create a Streamlit Application

**Description**:
We need to build a user-friendly interface using Streamlit to interact with the Document Points Extractor and Summarizer RAG system.

**Tasks**:

- [ ] Install and configure Streamlit in the project environment.
- [ ] Design the layout and structure of the Streamlit application.
- [ ] Add input options to upload documents for summarization.
- [ ] Display summarized outputs in a readable format.
- [ ] Integrate the document extraction and summarization pipeline with the Streamlit front-end.
- [ ] Ensure real-time feedback and progress indicators for users while documents are being processed.
- [ ] Test the Streamlit app with various input files to ensure proper functionality.
- [ ] Add instructions to the `README.md` on how to run the Streamlit app locally.

**Acceptance Criteria**:
- A functioning Streamlit app that allows users to upload documents and receive summarized outputs.
- The UI is intuitive and provides clear feedback during processing.
- Documentation includes clear instructions on how to run the application.

Start by locating the existing Document Points Extractor and Summarizer RAG pipeline, then review the project environment and README.md. Determine how documents are currently accepted and summarized before designing the Streamlit layout, upload flow, output display, and progress feedback. Done means users can upload supported files, receive readable summaries, and follow the README instructions to run the app locally.

Written by the indexing model from the issue text.