Spaces:
Sleeping
Sleeping
Lincoln Gombedza Claude Sonnet 4.6 commited on
Simplify to BYOK-only for Hugging Face — remove Stripe/subscriptions
Browse filesAll features (chat, exports, CPD records) now free for everyone.
Users bring their own Anthropic API key. Updated README with HF metadata.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- README.md +31 -93
- streamlit_app.py +44 -107
README.md
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pip install -r requirements.txt
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#
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cp "Professional nurse advocate A-EQUIP model Guide.md" assets/aequip_guide.md
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##
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sudo apt update && sudo apt install -y docker.io docker-compose-plugin curl
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#
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git clone https://github.com/Clinical-Quality-Artifical-Intelligence/Professional-Nurse-Advocate-Assistant
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cd Professional-Nurse-Advocate-Assistant
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cp .env.example .env
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nano .env # fill in Stripe keys + webhook secret
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#
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cp "Professional nurse advocate A-EQUIP model Guide.md" assets/aequip_guide.md
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docker compose up -d
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sudo apt install -y certbot
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sudo certbot certonly --standalone -d pna.nursingcitizendevelopment.com
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# 8. Restart with SSL
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docker compose restart nginx
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```
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## Stripe Webhook Setup (5 minutes)
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After deploying to EC2:
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1. Stripe Dashboard → **Developers** → **Webhooks** → **Add endpoint**
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2. Endpoint URL: `https://pna.nursingcitizendevelopment.com/webhook`
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3. Events to listen for: `checkout.session.completed`
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4. Click **Add endpoint**, then reveal the **Signing secret**
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5. Copy the signing secret (starts `whsec_...`)
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6. SSH into EC2 and update `.env`:
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```bash
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nano .env
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# Set: STRIPE_WEBHOOK_SECRET=whsec_your_real_secret
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docker compose restart pna-webhook
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```
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When a customer pays, the webhook:
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- Generates a `PNA-PRO-XXXXX` activation code
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- Emails it to the customer via Amazon SES
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- Logs it to `/app/codes.jsonl` inside the container
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### Amazon SES Setup (for automated emails)
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```bash
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# Verify your sending domain in SES console (AWS Console → SES → Verified identities)
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# Then attach an IAM role to the EC2 instance with ses:SendEmail permission
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# No access keys needed — uses the instance role automatically
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```
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Or check codes manually until SES is configured:
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```bash
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docker exec pna-webhook cat /app/codes.jsonl
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```
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## Subscription Tiers
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| Tier | Price | Features |
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|------|-------|---------|
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| Free | £0 | Chat with BYOK API key, unlimited conversations |
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| Pro | £9.99/month | + Supervision notes (.docx), CPD logs, session history |
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| Institution | £99/month | + Multi-user, custom branding, bulk CPD |
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## Environment Variables
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| Variable | Description |
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|----------|-------------|
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| `STRIPE_PRO_LINK` | Stripe Payment Link for Pro plan |
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| `STRIPE_INSTITUTION` | Stripe Payment Link for Institution plan |
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| `STRIPE_PUBLISHABLE_KEY` | Stripe public key (for future Stripe.js use) |
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| `STRIPE_SECRET_KEY` | Stripe secret key (future server-side use) |
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| `STRIPE_WEBHOOK_SECRET` | Webhook signing secret (`whsec_...`) |
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| `AWS_REGION` | AWS region for SES (default: `eu-west-2`) |
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| `SES_FROM_EMAIL` | Verified SES sender email |
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## Copyright
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A-EQUIP model guide content — Contains public sector information licensed under the
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[Open Government Licence v3.0](https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/) — NHS England.
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Application code — Apache 2.0 — © 2026 Lincoln Gombedza
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---
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title: PNA Assistant
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emoji: 👨🏾⚕️
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colorFrom: indigo
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colorTo: teal
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sdk: streamlit
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sdk_version: 1.35.0
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app_file: streamlit_app.py
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pinned: true
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license: apache-2.0
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short_description: AI guide to the A-EQUIP model for Professional Nurse Advocates
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---
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# 👨🏾⚕️ PNA Assistant — Professional Nurse Advocate AI
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An educational AI assistant for nursing professionals learning the **A-EQUIP model** of clinical supervision and the **Professional Nurse Advocate (PNA)** role in NHS England.
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**Free forever · BYOK · No data stored**
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---
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## What it does
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- 🌿 **Restorative supervision** — Reflective conversations to process the emotional impact of clinical work
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- 📚 **A-EQUIP learning** — Guides you through all four functions (Restorative, Normative, Formative, PAQI)
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- 🔍 **Reflective frameworks** — Gibbs, Driscoll, Johns, SBAR support
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- 📄 **Supervision note export** — Structured notes for your NMC revalidation portfolio (.docx)
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- 📋 **CPD record export** — NMC-formatted continuing professional development log (.docx)
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## How to use
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1. Get a free API key at [console.anthropic.com](https://console.anthropic.com) (~£0.01 per conversation)
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2. Enter your key in the sidebar — it's used only for your session and never stored
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3. Start chatting about A-EQUIP, supervision, or your PNA practice
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## Clinical disclaimer
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> This tool is for **educational purposes only**. It does not provide clinical advice, diagnosis, or treatment recommendations. It is not a replacement for human supervision or your employer's formal clinical governance processes.
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## Attribution
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Contains public sector information licensed under the [Open Government Licence v3.0](https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/) — NHS England.
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Built by [Lincoln Gombedza](https://nursingcitizendevelopment.com) · [Clinical Quality AI (CQAI)](https://github.com/Clinical-Quality-Artifical-Intelligence) · NMC Standards aligned
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streamlit_app.py
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"""
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Professional Nurse Advocate Assistant
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Powered by Claude claude-opus-4-6 | A-EQUIP Model | NHS OGL v3.0
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- BYOK (Bring Your Own Key) — user enters Anthropic API key (Free tier)
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- Pro subscription via Stripe — unlocks session history, exports, and CPD logging
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- AWS-ready: runs in Docker on EC2, auth via Cognito (Phase 2)
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"""
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import streamlit as st
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from datetime import date
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import os
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from pna.rag import PNAKnowledgeBase
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from pna.claude_client import stream_response, generate_supervision_note
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initial_sidebar_state="expanded",
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)
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# ─── Stripe config (replace with your real Stripe Payment Links) ──────────────
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STRIPE_PRO_LINK = os.getenv("STRIPE_PRO_LINK", "https://buy.stripe.com/14A28t0P99Qmdph8v68og00")
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STRIPE_INSTITUTION = os.getenv("STRIPE_INSTITUTION", "https://buy.stripe.com/9B63cxfK3d2y3OHbHi8og01")
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# ─── Custom CSS ──────────────────────────────────────────────────────────────
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st.markdown("""
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@@ -61,17 +52,9 @@ html, body, [class*="css"] { font-family: 'Inter', sans-serif; }
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padding: 0.2rem 0.75rem;
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font-size: 0.8rem;
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margin-top: 0.75rem;
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}
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.tier-card {
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border: 2px solid #e5e7eb;
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border-radius: 12px;
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padding: 1.25rem;
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text-align: center;
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background: white;
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}
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.tier-card.pro { border-color: #4f63d2; }
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.disclaimer {
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background: #f8fafc;
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border: 1px solid #e2e8f0;
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</style>
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""", unsafe_allow_html=True)
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# ─── Session state
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defaults = {
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"messages": [],
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"api_key": "",
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"subscription": "free", # free | pro | institution
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"nurse_name": "",
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"session_started": None,
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"rag_loaded": False,
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"kb": None,
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}
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for k, v in defaults.items():
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if k not in st.session_state:
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st.session_state[k] = v
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# ─── Load RAG knowledge base
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@st.cache_resource(show_spinner="Loading A-EQUIP knowledge base…")
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def load_knowledge_base():
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with st.sidebar:
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st.markdown("### 👨🏾⚕️ PNA Assistant")
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st.caption("A-EQUIP Model
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st.divider()
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# ── API Key (BYOK) ────────────────────────────────────────────────────────
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st.markdown("#### 🔑 Your Anthropic API Key")
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api_key_input = st.text_input(
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"Enter key to
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type="password",
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value=st.session_state.api_key,
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placeholder="sk-ant-api03-...",
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help="
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)
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if api_key_input:
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st.session_state.api_key = api_key_input
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st.divider()
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# ──
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st.markdown("####
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st.
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)
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- 📄 Download supervision notes (.docx)
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- 📋 NMC CPD log export (.docx)
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- 📧 Monthly PNA newsletter
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- 🏫 [Institution plan — £99/mo]({})
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""".format(STRIPE_INSTITUTION))
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# Manual activation after Stripe payment
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act_code = st.text_input("Activation code (from email after payment)")
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if act_code and act_code.startswith("PNA-PRO-"):
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st.session_state.subscription = "pro"
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st.success("Pro activated! 🎉")
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st.rerun()
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elif sub in ("pro", "institution"):
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label = "⭐ Pro" if sub == "pro" else "🏫 Institution"
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st.success(f"{label} — Active")
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if st.button("Manage subscription (Stripe)"):
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st.markdown(f"[Open Stripe portal →]({STRIPE_PRO_LINK})")
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st.divider()
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# ── Nurse info (Pro only) ─────────────────────────────────────────────────
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if sub in ("pro", "institution"):
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st.markdown("#### 📋 Your Details")
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st.session_state.nurse_name = st.text_input(
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"Your name (for CPD records)",
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value=st.session_state.nurse_name,
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placeholder="Nurse Jane Smith",
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)
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cpd_hours = st.number_input(
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"Session length (hours)", min_value=0.5, max_value=8.0,
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value=1.0, step=0.5
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)
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st.divider()
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-
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# ── Session controls ──────────────────────────────────────────────────────
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st.markdown("#### 🔄 Session")
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col1, col2 = st.columns(2)
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with col1:
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if st.button("🗑️ Clear
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st.session_state.messages = []
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st.session_state.session_started = None
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st.rerun()
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with col2:
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if st.button("
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st.session_state.messages = []
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st.session_state.session_started = date.today().isoformat()
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st.rerun()
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# ── Exports
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if
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st.divider()
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st.markdown("#### 📥 Export")
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@@ -221,29 +170,23 @@ with st.sidebar:
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if "last_note" in st.session_state:
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note = st.session_state["last_note"]
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st.text_area("
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if HAS_DOCX:
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docx_bytes = build_supervision_docx(
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note, st.session_state.nurse_name
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)
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if docx_bytes:
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st.download_button(
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"⬇️
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data=docx_bytes,
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file_name=f"PNA_Supervision_{date.today()}.docx",
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mime="application/vnd.openxmlformats-officedocument.wordprocessingml.document",
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use_container_width=True,
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)
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cpd_bytes = build_cpd_docx(
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note,
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st.session_state.nurse_name,
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cpd_hours if "cpd_hours" in dir() else 1.0,
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)
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if cpd_bytes:
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st.download_button(
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"⬇️
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data=cpd_bytes,
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file_name=f"NMC_CPD_{date.today()}.docx",
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mime="application/vnd.openxmlformats-officedocument.wordprocessingml.document",
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@@ -268,17 +211,18 @@ with st.sidebar:
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# ─── Main content ─────────────────────────────────────────────────────────────
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# Hero header
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st.markdown("""
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<div class="hero-header">
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<h1>👨🏾⚕️ Professional Nurse Advocate Assistant</h1>
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<p>Your AI guide to the A-EQUIP model, restorative supervision, and quality improvement</p>
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<span class="pill">🇬🇧 NHS England · A-EQUIP Model
|
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<span class="pill">OGL v3.0</span>
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</div>
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""", unsafe_allow_html=True)
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# Welcome / quick start
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if not st.session_state.messages:
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col1, col2, col3 = st.columns(3)
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with col1:
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@@ -306,7 +250,6 @@ Get support developing your Personal Action for Quality Improvement.
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"Help me reflect on a challenging patient interaction using Gibbs cycle.",
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"What's the difference between the normative and formative functions?",
|
| 308 |
]
|
| 309 |
-
|
| 310 |
cols = st.columns(2)
|
| 311 |
for i, ex in enumerate(examples):
|
| 312 |
with cols[i % 2]:
|
|
@@ -314,14 +257,13 @@ Get support developing your Personal Action for Quality Improvement.
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| 314 |
st.session_state.messages.append({"role": "user", "content": ex})
|
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st.rerun()
|
| 316 |
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| 317 |
-
# ──
|
| 318 |
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| 319 |
for msg in st.session_state.messages:
|
| 320 |
-
with st.chat_message(msg["role"],
|
| 321 |
-
avatar="👩⚕️" if msg["role"] == "user" else "👨🏾⚕️"):
|
| 322 |
st.markdown(msg["content"])
|
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-
# ──
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prompt = st.chat_input(
|
| 327 |
"Ask me about A-EQUIP, restorative supervision, or the PNA role…",
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@@ -335,21 +277,17 @@ if not st.session_state.api_key:
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| 335 |
)
|
| 336 |
|
| 337 |
if prompt and st.session_state.api_key:
|
| 338 |
-
# Record session start time
|
| 339 |
if st.session_state.session_started is None:
|
| 340 |
st.session_state.session_started = date.today().isoformat()
|
| 341 |
|
| 342 |
-
# Add user message
|
| 343 |
st.session_state.messages.append({"role": "user", "content": prompt})
|
| 344 |
with st.chat_message("user", avatar="👩⚕️"):
|
| 345 |
st.markdown(prompt)
|
| 346 |
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| 347 |
-
# Get RAG context
|
| 348 |
context = kb.search(prompt) if kb.index is not None else ""
|
| 349 |
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-
# Stream response
|
| 351 |
with st.chat_message("assistant", avatar="👨🏾⚕️"):
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-
|
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full_response = ""
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try:
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@@ -360,9 +298,9 @@ if prompt and st.session_state.api_key:
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context=context,
|
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):
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full_response += chunk
|
| 363 |
-
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| 364 |
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| 365 |
-
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| 366 |
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except Exception as e:
|
| 368 |
err = str(e)
|
|
@@ -372,11 +310,9 @@ if prompt and st.session_state.api_key:
|
|
| 372 |
full_response = "⏳ Rate limit reached. Please wait a moment and try again."
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else:
|
| 374 |
full_response = f"❌ An error occurred: {err}"
|
| 375 |
-
|
| 376 |
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| 377 |
-
st.session_state.messages.append(
|
| 378 |
-
{"role": "assistant", "content": full_response}
|
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-
)
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| 380 |
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| 381 |
# ─── Footer ───────────────────────────────────────────────────────────────────
|
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@@ -390,7 +326,8 @@ If you are experiencing a clinical emergency or safeguarding concern, follow you
|
|
| 390 |
<br/><br/>
|
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<span class="ogl-notice">
|
| 392 |
Contains public sector information licensed under the
|
| 393 |
-
<a href="https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/" target="_blank">Open Government Licence v3.0</a>
|
|
|
|
| 394 |
Built by <a href="https://nursingcitizendevelopment.com" target="_blank">Lincoln Gombedza</a> · CQAI ·
|
| 395 |
<a href="https://github.com/Clinical-Quality-Artifical-Intelligence/Professional-Nurse-Advocate-Assistant" target="_blank">Open Source</a>
|
| 396 |
</span>
|
|
|
|
| 1 |
"""
|
| 2 |
+
Professional Nurse Advocate Assistant
|
| 3 |
Powered by Claude claude-opus-4-6 | A-EQUIP Model | NHS OGL v3.0
|
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+
BYOK — bring your own Anthropic API key. Free forever on Hugging Face.
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"""
|
| 7 |
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| 8 |
import streamlit as st
|
| 9 |
from datetime import date
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| 10 |
|
| 11 |
from pna.rag import PNAKnowledgeBase
|
| 12 |
from pna.claude_client import stream_response, generate_supervision_note
|
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|
| 21 |
initial_sidebar_state="expanded",
|
| 22 |
)
|
| 23 |
|
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|
| 24 |
# ─── Custom CSS ──────────────────────────────────────────────────────────────
|
| 25 |
|
| 26 |
st.markdown("""
|
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|
|
| 52 |
padding: 0.2rem 0.75rem;
|
| 53 |
font-size: 0.8rem;
|
| 54 |
margin-top: 0.75rem;
|
| 55 |
+
margin-right: 0.25rem;
|
| 56 |
}
|
| 57 |
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| 58 |
.disclaimer {
|
| 59 |
background: #f8fafc;
|
| 60 |
border: 1px solid #e2e8f0;
|
|
|
|
| 75 |
</style>
|
| 76 |
""", unsafe_allow_html=True)
|
| 77 |
|
| 78 |
+
# ─── Session state ────────────────────────────────────────────────────────────
|
| 79 |
|
| 80 |
defaults = {
|
| 81 |
"messages": [],
|
| 82 |
"api_key": "",
|
|
|
|
| 83 |
"nurse_name": "",
|
| 84 |
"session_started": None,
|
|
|
|
|
|
|
| 85 |
}
|
| 86 |
for k, v in defaults.items():
|
| 87 |
if k not in st.session_state:
|
| 88 |
st.session_state[k] = v
|
| 89 |
|
| 90 |
+
# ─── Load RAG knowledge base ──────────────────────────────────────────────────
|
| 91 |
|
| 92 |
@st.cache_resource(show_spinner="Loading A-EQUIP knowledge base…")
|
| 93 |
def load_knowledge_base():
|
|
|
|
| 99 |
|
| 100 |
with st.sidebar:
|
| 101 |
st.markdown("### 👨🏾⚕️ PNA Assistant")
|
| 102 |
+
st.caption("A-EQUIP Model · Restorative Supervision")
|
| 103 |
st.divider()
|
| 104 |
|
| 105 |
# ── API Key (BYOK) ────────────────────────────────────────────────────────
|
| 106 |
st.markdown("#### 🔑 Your Anthropic API Key")
|
| 107 |
api_key_input = st.text_input(
|
| 108 |
+
"Enter key to start chatting",
|
| 109 |
type="password",
|
| 110 |
value=st.session_state.api_key,
|
| 111 |
placeholder="sk-ant-api03-...",
|
| 112 |
+
help="Used only for this session and never stored.",
|
| 113 |
)
|
| 114 |
if api_key_input:
|
| 115 |
st.session_state.api_key = api_key_input
|
|
|
|
| 122 |
|
| 123 |
st.divider()
|
| 124 |
|
| 125 |
+
# ── Your details ──────────────────────────────────────────────────────────
|
| 126 |
+
st.markdown("#### 📋 Your Details")
|
| 127 |
+
st.caption("Optional — used in supervision note exports.")
|
| 128 |
+
st.session_state.nurse_name = st.text_input(
|
| 129 |
+
"Your name",
|
| 130 |
+
value=st.session_state.nurse_name,
|
| 131 |
+
placeholder="e.g. Nurse Jane Smith",
|
| 132 |
+
)
|
| 133 |
+
cpd_hours = st.number_input(
|
| 134 |
+
"Session length (hours)",
|
| 135 |
+
min_value=0.5, max_value=8.0,
|
| 136 |
+
value=1.0, step=0.5,
|
| 137 |
+
)
|
|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
| 138 |
|
| 139 |
st.divider()
|
| 140 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
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|
|
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|
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|
|
|
|
| 141 |
# ── Session controls ──────────────────────────────────────────────────────
|
| 142 |
st.markdown("#### 🔄 Session")
|
| 143 |
col1, col2 = st.columns(2)
|
| 144 |
with col1:
|
| 145 |
+
if st.button("🗑️ Clear", use_container_width=True):
|
| 146 |
st.session_state.messages = []
|
| 147 |
st.session_state.session_started = None
|
| 148 |
st.rerun()
|
| 149 |
with col2:
|
| 150 |
+
if st.button("🆕 New", use_container_width=True):
|
| 151 |
st.session_state.messages = []
|
| 152 |
st.session_state.session_started = date.today().isoformat()
|
| 153 |
st.rerun()
|
| 154 |
|
| 155 |
+
# ── Exports ───────────────────────────────────────────────────────────────
|
| 156 |
+
if st.session_state.messages:
|
| 157 |
st.divider()
|
| 158 |
st.markdown("#### 📥 Export")
|
| 159 |
|
|
|
|
| 170 |
|
| 171 |
if "last_note" in st.session_state:
|
| 172 |
note = st.session_state["last_note"]
|
| 173 |
+
st.text_area("Preview", note, height=200)
|
| 174 |
|
| 175 |
if HAS_DOCX:
|
| 176 |
+
docx_bytes = build_supervision_docx(note, st.session_state.nurse_name)
|
|
|
|
|
|
|
| 177 |
if docx_bytes:
|
| 178 |
st.download_button(
|
| 179 |
+
"⬇️ Supervision note (.docx)",
|
| 180 |
data=docx_bytes,
|
| 181 |
file_name=f"PNA_Supervision_{date.today()}.docx",
|
| 182 |
mime="application/vnd.openxmlformats-officedocument.wordprocessingml.document",
|
| 183 |
use_container_width=True,
|
| 184 |
)
|
| 185 |
|
| 186 |
+
cpd_bytes = build_cpd_docx(note, st.session_state.nurse_name, cpd_hours)
|
|
|
|
|
|
|
|
|
|
|
|
|
| 187 |
if cpd_bytes:
|
| 188 |
st.download_button(
|
| 189 |
+
"⬇️ NMC CPD Record (.docx)",
|
| 190 |
data=cpd_bytes,
|
| 191 |
file_name=f"NMC_CPD_{date.today()}.docx",
|
| 192 |
mime="application/vnd.openxmlformats-officedocument.wordprocessingml.document",
|
|
|
|
| 211 |
|
| 212 |
# ─── Main content ─────────────────────────────────────────────────────────────
|
| 213 |
|
|
|
|
| 214 |
st.markdown("""
|
| 215 |
<div class="hero-header">
|
| 216 |
<h1>👨🏾⚕️ Professional Nurse Advocate Assistant</h1>
|
| 217 |
<p>Your AI guide to the A-EQUIP model, restorative supervision, and quality improvement</p>
|
| 218 |
+
<span class="pill">🇬🇧 NHS England · A-EQUIP Model</span>
|
| 219 |
+
<span class="pill">NMC Standards</span>
|
| 220 |
<span class="pill">OGL v3.0</span>
|
| 221 |
</div>
|
| 222 |
""", unsafe_allow_html=True)
|
| 223 |
|
| 224 |
+
# ── Welcome / quick start ─────────────────────────────────────────────────────
|
| 225 |
+
|
| 226 |
if not st.session_state.messages:
|
| 227 |
col1, col2, col3 = st.columns(3)
|
| 228 |
with col1:
|
|
|
|
| 250 |
"Help me reflect on a challenging patient interaction using Gibbs cycle.",
|
| 251 |
"What's the difference between the normative and formative functions?",
|
| 252 |
]
|
|
|
|
| 253 |
cols = st.columns(2)
|
| 254 |
for i, ex in enumerate(examples):
|
| 255 |
with cols[i % 2]:
|
|
|
|
| 257 |
st.session_state.messages.append({"role": "user", "content": ex})
|
| 258 |
st.rerun()
|
| 259 |
|
| 260 |
+
# ── Chat history ──────────────────────────────────────────────────────────────
|
| 261 |
|
| 262 |
for msg in st.session_state.messages:
|
| 263 |
+
with st.chat_message(msg["role"], avatar="👩⚕️" if msg["role"] == "user" else "👨🏾⚕️"):
|
|
|
|
| 264 |
st.markdown(msg["content"])
|
| 265 |
|
| 266 |
+
# ── Chat input ────────────────────────────────────────────────────────────────
|
| 267 |
|
| 268 |
prompt = st.chat_input(
|
| 269 |
"Ask me about A-EQUIP, restorative supervision, or the PNA role…",
|
|
|
|
| 277 |
)
|
| 278 |
|
| 279 |
if prompt and st.session_state.api_key:
|
|
|
|
| 280 |
if st.session_state.session_started is None:
|
| 281 |
st.session_state.session_started = date.today().isoformat()
|
| 282 |
|
|
|
|
| 283 |
st.session_state.messages.append({"role": "user", "content": prompt})
|
| 284 |
with st.chat_message("user", avatar="👩⚕️"):
|
| 285 |
st.markdown(prompt)
|
| 286 |
|
|
|
|
| 287 |
context = kb.search(prompt) if kb.index is not None else ""
|
| 288 |
|
|
|
|
| 289 |
with st.chat_message("assistant", avatar="👨🏾⚕️"):
|
| 290 |
+
placeholder = st.empty()
|
| 291 |
full_response = ""
|
| 292 |
|
| 293 |
try:
|
|
|
|
| 298 |
context=context,
|
| 299 |
):
|
| 300 |
full_response += chunk
|
| 301 |
+
placeholder.markdown(full_response + "▋")
|
| 302 |
|
| 303 |
+
placeholder.markdown(full_response)
|
| 304 |
|
| 305 |
except Exception as e:
|
| 306 |
err = str(e)
|
|
|
|
| 310 |
full_response = "⏳ Rate limit reached. Please wait a moment and try again."
|
| 311 |
else:
|
| 312 |
full_response = f"❌ An error occurred: {err}"
|
| 313 |
+
placeholder.error(full_response)
|
| 314 |
|
| 315 |
+
st.session_state.messages.append({"role": "assistant", "content": full_response})
|
|
|
|
|
|
|
| 316 |
|
| 317 |
# ─── Footer ───────────────────────────────────────────────────────────────────
|
| 318 |
|
|
|
|
| 326 |
<br/><br/>
|
| 327 |
<span class="ogl-notice">
|
| 328 |
Contains public sector information licensed under the
|
| 329 |
+
<a href="https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/" target="_blank">Open Government Licence v3.0</a>
|
| 330 |
+
— NHS England.
|
| 331 |
Built by <a href="https://nursingcitizendevelopment.com" target="_blank">Lincoln Gombedza</a> · CQAI ·
|
| 332 |
<a href="https://github.com/Clinical-Quality-Artifical-Intelligence/Professional-Nurse-Advocate-Assistant" target="_blank">Open Source</a>
|
| 333 |
</span>
|