Minimal web app to upload one or more PDFs, extract text, and generate an investment-focused analysis using an LLM via OpenRouter.

• Python 3.10+ recommended

Create a virtual environment (optional but recommended), then install dependencies:

python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

Create a .env file in this folder:

OPENROUTER_API_KEY=your_key_here

Tip: you can copy .env.example to .env and then paste your key.

streamlit run app.py

Then open the URL Streamlit prints (usually http://localhost:8501).

• No file uploaded: the app will prompt you to upload at least one PDF.
• Empty/unreadable PDF text: those PDFs are skipped; if all are empty, analysis can’t run.
• Missing API key: set OPENROUTER_API_KEY in .env or your environment.
• API error: the app shows the HTTP error from OpenRouter.