✅ Both frontend (Streamlit) and backend (Jupyter Notebook) are properly configured to handle API authentication
- Deleted invalid test key from
.envfile - Updated
.envfile with template showing correct format
- Frontend:
app.pychecks for valid API key and displays helpful warnings - Backend: Notebook cells use
load_dotenv()to read from.envfile
- Frontend shows user-friendly error messages
- Backend gracefully handles missing/invalid credentials
- Both provide guidance to users on how to fix issues
- Added
SETUP.mdwith complete configuration instructions - Includes troubleshooting guide
- Links to OpenAI API key management
- Get your real OpenAI API key from https://platform.openai.com/account/api-keys
- Edit the
.envfile in the project root:OPENAI_API_KEY=sk-your-actual-api-key-here - Replace
sk-your-actual-api-key-herewith your real key - Save the file
- Restart the Streamlit app and Jupyter notebook
# Before (Invalid):
OPENAI_API_KEY = "sk-ggZa8EzSId6MFdQxC3BlbkFJILHYp8uIskTobqR9xbZJ"
# After (Template):
OPENAI_API_KEY=your-api-key-here
- Added API key validation
- Improved error messages
- User-friendly warnings when API key is missing/invalid
- Uses
load_dotenv()to load from.env - Validates API key before using
- Has try-except blocks for all API calls
- Complete setup instructions
- Troubleshooting guide
- Feature overview
✅ The .env file is already in .gitignore (create one if needed)
✅ Never commit real API keys to version control
✅ Each developer should have their own .env file with their API key
- Add your actual OpenAI API key to
.env - Run Streamlit:
streamlit run app.py - Run Notebook: Open in VS Code or Jupyter
- Both should work without authentication errors