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Gradio Web Interface for Harbor Treatment Navigation Chatbot
Landing page offers three paths:
1. Quick Recommendations β enter a zip code, get nearby options inline
2. Talk to a Human β compact crisis callout with phone number
3. Get Personalized Advice β leads to the AI chatbot
Run locally:
python app.py
Access in browser:
http://localhost:7860
"""
import os
import re
import gradio as gr
from src.chat import Chatbot
from src.utils.profile import create_empty_profile
from src.utils.resources import load_resources, filter_resources, score_resources
# ββ CSS βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
CSS = """
/* ββ Layout ββ */
.harbor-wrap {
max-width: 680px;
margin: 0 auto;
padding: 2.5rem 1.25rem 1.5rem;
font-family: 'Inter', sans-serif;
}
/* ββ Header ββ */
.harbor-logo {
text-align: center;
font-size: 2.75rem;
font-weight: 800;
letter-spacing: -1px;
color: #0d6e6e;
margin-bottom: 0.2rem;
line-height: 1;
}
.harbor-tagline {
text-align: center;
font-size: 1.1rem;
color: #5a7a7a;
margin-bottom: 2.25rem;
font-style: italic;
}
/* ββ Location Banner ββ */
.harbor-banner {
text-align: center;
font-size: 0.92rem;
font-weight: 600;
color: #0d6e6e;
background: #e6f7f7;
border: 1px solid #c8e6e6;
border-radius: 10px;
padding: 0.55rem 1rem;
margin-bottom: 1.5rem;
letter-spacing: 0.1px;
}
/* ββ Cards ββ */
.harbor-card {
background: #ffffff;
border: 1.5px solid #c8e6e6;
border-radius: 16px;
padding: 1.5rem 1.75rem;
margin-bottom: 1.1rem;
box-shadow: 0 2px 12px rgba(13, 110, 110, 0.06);
}
.harbor-card-title {
font-size: 1.15rem;
font-weight: 700;
color: #0d6e6e;
margin-bottom: 0.6rem;
display: flex;
align-items: center;
gap: 0.5rem;
}
.harbor-card p {
color: #3d5a5a;
line-height: 1.65;
margin: 0 0 0.75rem;
font-size: 0.97rem;
}
.harbor-card p:last-child { margin-bottom: 0; }
/* ββ Quick Rec card β larger, featured ββ */
.harbor-card-featured {
background: linear-gradient(145deg, #f0fafa, #e6f7f7);
border: 2px solid #0d9e8f;
}
.harbor-card-featured .harbor-card-title {
font-size: 1.25rem;
}
/* ββ Crisis callout β compact ββ */
.harbor-callout {
background: #f8fffd;
border: 1.5px solid #c8e6e6;
border-radius: 12px;
padding: 0.9rem 1.25rem;
margin-bottom: 1.1rem;
display: flex;
align-items: center;
gap: 1rem;
flex-wrap: wrap;
box-shadow: 0 1px 6px rgba(13, 110, 110, 0.05);
}
.harbor-callout-text {
flex: 1;
min-width: 200px;
font-size: 0.9rem;
color: #3d5a5a;
line-height: 1.5;
}
.harbor-callout-text strong { color: #0d6e6e; }
.harbor-phone-inline {
font-size: 1.2rem;
font-weight: 800;
color: #0d6e6e;
white-space: nowrap;
}
.harbor-phone-inline a { color: inherit; text-decoration: none; }
.harbor-phone-inline a:hover { text-decoration: underline; }
/* ββ Zip results area ββ */
.harbor-results {
margin-top: 1rem;
padding-top: 1rem;
border-top: 1px solid #c8e6e6;
}
.harbor-results-title {
font-size: 1rem;
font-weight: 600;
color: #0d6e6e;
margin-bottom: 0.5rem;
}
.harbor-error {
color: #c0392b;
font-size: 0.9rem;
margin-top: 0.4rem;
}
#zip-results .pending,
#zip-results .generating,
#zip-results > .wrap,
#zip-results > .svelte-spinner,
#zip-results .eta-bar {
display: none !important;
}
/* ββ Buttons ββ */
.harbor-start-btn button,
.harbor-zip-btn button {
background: linear-gradient(135deg, #0d9e8f, #0d6e6e) !important;
border: none !important;
border-radius: 12px !important;
font-size: 1.05rem !important;
font-weight: 600 !important;
letter-spacing: 0.2px !important;
padding: 0.85rem 1.5rem !important;
transition: opacity 0.2s ease !important;
box-shadow: 0 4px 14px rgba(13, 110, 110, 0.25) !important;
}
.harbor-start-btn button:hover,
.harbor-zip-btn button:hover { opacity: 0.9 !important; }
/* ββ Footer ββ */
.harbor-footer {
text-align: center;
font-size: 0.8rem;
color: #8fa8a8;
margin-top: 1.75rem;
line-height: 1.6;
}
/* ββ Chat page ββ */
.chat-header {
max-width: 680px;
margin: 0 auto;
padding: 1.25rem 1.25rem 0;
}
.chat-back-btn button {
background: transparent !important;
border: 1.5px solid #c8e6e6 !important;
color: #0d6e6e !important;
border-radius: 8px !important;
font-size: 0.9rem !important;
font-weight: 500 !important;
padding: 0.4rem 0.9rem !important;
}
.chat-back-btn button:hover { background: #f0fafa !important; }
/* ββ Chat input area ββ */
.gradio-chatinterface > div:last-child,
footer,
.chatbot-input-row,
[data-testid="chatbot"] ~ div {
padding: 0 1.25rem 1.25rem !important;
}
.gradio-chatinterface .input-row,
.gradio-chatinterface form {
margin: 0.75rem 2rem 1.5rem !important;
border: 1.5px solid #c8e6e6 !important;
border-radius: 14px !important;
padding: 0.5rem !important;
box-shadow: 0 2px 10px rgba(13, 110, 110, 0.07) !important;
background: #ffffff !important;
}
"""
# ββ Theme βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
THEME = gr.themes.Soft(
primary_hue="teal",
secondary_hue="cyan",
neutral_hue="slate",
font=[gr.themes.GoogleFont("Inter"), "sans-serif"],
).set(
button_primary_background_fill="linear-gradient(135deg, #0d9e8f, #0d6e6e)",
button_primary_background_fill_hover="linear-gradient(135deg, #0bb8a8, #0d9e8f)",
button_primary_text_color="#ffffff",
block_border_color="#c8e6e6",
block_shadow="0 2px 12px rgba(13,110,110,0.06)",
)
# ββ Static HTML snippets βββββββββββββββββββββββββββββββββββββββββββββββββββββββ
HEADER_MD = """
<div class='harbor-logo'>β Harbor</div>
<div class='harbor-tagline'>Come in from the storm.</div>
"""
CRISIS_CALLOUT_HTML = """
<div class='harbor-callout'>
<div class='harbor-callout-text'>
<strong>π€ Talk to a Human</strong> β Trained counselors available
<strong>24/7</strong> through the Behavioral Health Help Line.<br>
<span style='font-size:0.82rem; color:#6b8e8e;'>
In immediate danger? <strong style='color:#6b4e4e;'>Call 911.</strong>
</span>
</div>
<div class='harbor-phone-inline'><a href='tel:8337732445'>π 833-773-2445</a></div>
</div>
"""
CHATBOT_CARD_MD = """
<div class='harbor-card-title'>π¬ Get Personalized Guidance</div>
<p>
Want to explore options in more depth? Our chatbot can factor in your insurance,
preferences, treatment history, and more β no judgment, no pressure.
</p>
"""
FOOTER_MD = """
<div class='harbor-footer'>
Harbor does not provide medical advice, diagnosis, or treatment.<br>
If you are in crisis, please call 911 or the BHHL at 833-773-2445.
</div>
"""
# ββ Helpers βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
ZIPCODE_RE = re.compile(r"^\d{5}$")
def is_valid_zip(zipcode: str) -> bool:
"""Return True if zipcode is exactly 5 digits."""
return bool(ZIPCODE_RE.match(zipcode.strip()))
def _load_resources_once():
"""Load resource CSVs once and cache."""
if not hasattr(_load_resources_once, "_cache"):
current_dir = os.path.dirname(os.path.abspath(__file__))
paths = [
os.path.join(current_dir, "references", "knowledge", "ma_resources.csv"),
os.path.join(current_dir, "references", "knowledge", "resources", "boston_resources.csv"),
]
_load_resources_once._cache = load_resources(paths)
return _load_resources_once._cache
def get_recommendations(zipcode: str) -> list[dict]:
"""
Return a list of treatment recommendations for the given zip code.
Uses the same filter/score logic as the chatbot, but with a minimal
profile containing only the zipcode.
"""
profile = create_empty_profile()
profile["logistics"]["zipcode"] = zipcode.strip()
resources = _load_resources_once()
filtered = filter_resources(resources, profile)
top = score_resources(filtered, profile)
return top
def format_recommendations(zipcode: str, results: list[dict]) -> str:
"""Render recommendations as an HTML snippet for display."""
if not results:
return (
f"<div class='harbor-results'>"
f"<div class='harbor-results-title'>Results near {zipcode}</div>"
f"<p style='color:#5a7a7a; font-size:0.93rem;'>"
f"No results found for that zip code yet. Try the chatbot below for "
f"more personalised help.</p>"
f"</div>"
)
items_html = ""
for r in results:
name = r.get("name", "Unknown Facility")
# Build address from parts
addr_parts = [r.get("address", ""), r.get("city", ""),
r.get("state", ""), r.get("zip", "")]
address = ", ".join(p.strip() for p in addr_parts if p.strip())
phone = r.get("phone", "").strip()
# Type from primary_focus
focus = r.get("primary_focus", "").strip()
type_label = ", ".join(
v.strip().replace("_", " ").title() for v in focus.split("|")
) if focus else ""
items_html += (
f"<div style='margin-bottom:0.75rem; padding:0.75rem; background:#f8fffd; "
f"border-radius:10px; border:1px solid #c8e6e6;'>"
f"<strong style='color:#0d6e6e;'>{name}</strong><br>"
)
if type_label or address:
items_html += (
f"<span style='font-size:0.88rem; color:#5a7a7a;'>"
f"{type_label + ' Β· ' if type_label else ''}{address}</span><br>"
)
if phone:
items_html += (
f"<a href='tel:{phone}' style='font-size:0.88rem; color:#0d9e8f;'>{phone}</a>"
)
items_html += "</div>"
return (
f"<div class='harbor-results'>"
f"<div class='harbor-results-title'>π Options near {zipcode}</div>"
f"{items_html}"
f"</div>"
)
# ββ App βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def create_chatbot():
"""Creates the Harbor interface with a landing page and chatbot."""
_load_resources_once() # pre-load CSVs so first zip lookup is fast
def chat(message, history, bot):
"""
Generate a response for the current message using a per-session Chatbot.
Args:
message (str): The current message from the user
history (list): List of previous message dicts for this session
bot (Chatbot): The per-session Chatbot instance (held in gr.State)
Returns:
tuple: (updated history, cleared input, bot)
"""
response = bot.get_response(message, history)
history = history + [
{"role": "user", "content": message},
{"role": "assistant", "content": response},
]
return history, gr.update(value=""), bot
def handle_zip_submit(zipcode: str):
"""Validate zip and return inline results HTML."""
zipcode = zipcode.strip()
if not is_valid_zip(zipcode):
return gr.update(
value="<div class='harbor-error'>β οΈ Please enter a valid 5-digit zip code.</div>",
visible=True,
)
results = get_recommendations(zipcode)
# Log recommendations to console
if results:
print(f"[Harbor] Zip lookup ({zipcode}) β {len(results)} recommendation(s):")
for i, r in enumerate(results, 1):
print(f" {i}. {r.get('name', 'Unknown')} β {r.get('city', '')}, {r.get('state', '')} {r.get('zip', '')}")
else:
print(f"[Harbor] Zip lookup ({zipcode}) β no results found.")
return gr.update(value=format_recommendations(zipcode, results), visible=True)
def show_landing():
return gr.update(visible=True), gr.update(visible=False)
OPENING_MESSAGE = (
"How can I support you today? You can share anything about what you're dealing withβmental health concerns, alcohol or drug use, support for a loved one, or help finding treatment resources."
)
with gr.Blocks(title="Harbor", theme=THEME, css=CSS) as demo:
# ββ Landing Page ββββββββββββββββββββββββββββββββββββββββββββββ
with gr.Column(visible=True) as landing_page:
with gr.Column(elem_classes="harbor-wrap"):
gr.HTML(HEADER_MD)
gr.HTML("<div class='harbor-banner'>π Find options near you in the Greater Boston, Massachusetts area.</div>")
# Card 1 β Quick Recommendations (featured)
with gr.Group(elem_classes="harbor-card harbor-card-featured"):
gr.HTML("<div class='harbor-card-title'>π Enter Your Zip Code</div>")
gr.HTML(
"<p>We'll show you nearby treatment programs right away, or talk to our chatbot below for better recommendations.</p>"
)
with gr.Row():
zip_input = gr.Textbox(
placeholder="e.g. 02134",
max_lines=1,
show_label=False,
container=False,
scale=3,
)
zip_btn = gr.Button(
"Find Options β",
variant="primary",
scale=1,
elem_classes="harbor-zip-btn",
)
# Results rendered outside the card so the loading spinner
# does not overlay the input card above.
results_html = gr.HTML(visible=False, elem_id="zip-results")
# Card 2 β Crisis callout (compact)
gr.HTML(CRISIS_CALLOUT_HTML)
# Card 3 β Chatbot
with gr.Group(elem_classes="harbor-card"):
gr.HTML(CHATBOT_CARD_MD)
start_chat_btn = gr.Button(
"Start a Conversation β",
variant="primary",
size="lg",
elem_classes="harbor-start-btn",
)
gr.HTML(FOOTER_MD)
# ββ Chat Page βββββββββββββββββββββββββββββββββββββββββββββββββ
with gr.Column(visible=False) as chat_page:
# Per-session state: a fresh Chatbot() is created for each browser session.
# Clicking "Start a Conversation" also resets it, so no data carries over
# between conversations on the same tab.
chatbot_state = gr.State(Chatbot)
with gr.Column(elem_classes="chat-header"):
back_btn = gr.Button(
"β Back to Home",
size="sm",
variant="secondary",
elem_classes="chat-back-btn",
)
chatbot_display = gr.Chatbot(
value=[{"role": "assistant", "content": OPENING_MESSAGE}],
label="β Harbor",
type="messages",
)
with gr.Row():
msg_input = gr.Textbox(
placeholder="Type your message hereβ¦",
show_label=False,
scale=8,
container=False,
)
send_btn = gr.Button("Send β", variant="primary", scale=1)
def reset_bot_history(bot):
"""Reset bot state and chatbot history while chat page is still hidden."""
bot.reset()
return bot, [{"role": "assistant", "content": OPENING_MESSAGE}]
def show_chat_page():
"""Reveal chat page after bot has been reset β chatbot not in outputs, so no thinking indicator."""
return gr.update(visible=False), gr.update(visible=True)
# ββ Events ββββββββββββββββββββββββββββββββββββββββββββββββββββ
zip_btn.click(handle_zip_submit, inputs=zip_input, outputs=results_html)
zip_input.submit(handle_zip_submit, inputs=zip_input, outputs=results_html)
start_chat_btn.click(
reset_bot_history,
inputs=[chatbot_state],
outputs=[chatbot_state, chatbot_display],
).then(
show_chat_page,
outputs=[landing_page, chat_page],
)
back_btn.click(show_landing, outputs=[landing_page, chat_page])
send_btn.click(
chat,
inputs=[msg_input, chatbot_display, chatbot_state],
outputs=[chatbot_display, msg_input, chatbot_state],
)
msg_input.submit(
chat,
inputs=[msg_input, chatbot_display, chatbot_state],
outputs=[chatbot_display, msg_input, chatbot_state],
)
return demo
if __name__ == "__main__":
demo = create_chatbot()
demo.launch(share=True)
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