Update README.md

README.md

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-# Persona Feedback Simulator — Hugging Face Space (Streamlit)
+# Persona Simulation App
 
-This is a Streamlit app that simulates multi-persona feedback for product features.
-It supports:
-- Persona selection and creation
-- Uploading a `personas.json` file
-- Generating conversation responses via OpenAI
-- Generating a feedback report
-- Persona sentiment heatmap
+This is an interactive Streamlit application that generates simulated
+conversations using configurable personas. It supports uploading files, 
+generating persona sentiment heatmaps, and visual analytics.
 
----
+## 🚀 How to Run
 
-## How to deploy on Hugging Face Spaces
+The app is designed to run automatically on Hugging Face Spaces
+using the **Streamlit** SDK.
 
-1. Create a new Space at https://huggingface.co/spaces → **Create new Space**  
-   - SDK: **Streamlit**  
-   - Visibility: Public or Private  
+No additional configuration is required.
 
-2. Push these files to the Space repository:
-   - `app.py`, `utils.py`, `ai_helpers.py`, `config.py`, `requirements.txt`, `README.md`
-
-3. Add your OpenAI API key in the Space settings:
-   - Go to **Settings → Variables** and add:
-     - `OPENAI_API_KEY` = `sk-...`
-
-   The app will also accept the key typed into the sidebar.
-
-4. Wait for the build to complete. The Space will provide a public URL.
-
----
-
-## Notes & recommendations
-
-- **Secrets**: DO NOT commit your API key. Use the Space `Settings → Variables` to store `OPENAI_API_KEY` securely.
-- **Persistence**: `personas.json` is saved to the workspace. For production durability consider backing up to S3 or another persistent store.
-- **Monitoring**: If you need error tracking add Sentry and metrics (Prometheus/Grafana). Those require additional dependencies and config.
-- **OpenAI usage**: Take care to monitor costs and rate limits for your chosen model.
-
----
-
-## Troubleshooting
-
-- If conversation generation fails, verify:
-  - `OPENAI_API_KEY` is set (in Space variables or entered in sidebar).
-  - The selected model is available to your account.
-- If saving personas fails on Spaces, confirm the runtime has write access (Spaces usually allow writing to repo workspace).
-- If you run into dependency errors, update `requirements.txt` and push again.
-
----
-
-## Next steps (optional)
-- Add Sentry for error tracking.
-- Add automated backup to S3 (via GitHub Actions or cron job inside a container).
-- Add authentication (Auth0) for access control.
+### Running locally
+```bash
+pip install -r requirements.txt
+streamlit run app.py