This repository contains two case-study apps:

• Trading MTM valuation (in trading_case)

  

• Weather precipitation assistant (in weather_case)

Quick start (Windows / cmd.exe)

1. Clone and open the repo root

git clone <repo-url>
cd Kiran_Case_Study

2. Create and activate a virtual environment

python -m venv .venv
.venv\Scripts\activate

3. Install dependencies

pip install --upgrade pip
pip install -r requirements.txt

4. Run the trading MTM report (CLI)

python trading_case\run_mtm_report.py -i "trading_case\Trading Case Example Data.xlsx" -o "MTM_valuation_report.xlsx"

5. Run the Trading Streamlit UI

streamlit run trading_case\trading_app.py --server.port 8502

• The UI looks for trading_case\Trading Case Example Data.xlsx by default. You can upload your own .xlsx with Price and Contracts sheets.

6. Run the Weather Streamlit UI

streamlit run weather_case\weather_app.py --server.port 8503

• Upload an Excel with Daily and Monthly sheets, then ask a natural-language question.

Troubleshooting

• If Streamlit complains set_page_config must be first, ensure you run streamlit run from the project root; the repository's apps are configured correctly.
• If a port is already used, pick another port (e.g., --server.port 8504).
• If imports fail, confirm you are running commands from the repo root and your venv is activated.

Remove duplicate Streamlit entrypoint

• A duplicate file trading_case/streamlit_app.py was neutralized to avoid confusion; the canonical entrypoint is trading_case/trading_app.py.

Contact / Next steps

If you want, I can:

• Start both Streamlit servers for you and verify they load.
• Add example screenshots or make small UI improvements.