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import streamlit as st
from openai import OpenAI
import sqlite3
import pandas as pd
import re
import json
from sticky import sticky_container
import chromadb
from sentence_transformers import SentenceTransformer
from transformers import pipeline
import hashlib
import inspect
from tools import *
from var import SCHEMA_DESCRIPTIONS, SchemaVectorDB, FullVectorDB
import os
from dotenv import load_dotenv
load_dotenv()
# Set your Groq API key
GROQ_API_KEY = os.environ.get("GROQ_API_KEY")
# Initialize Groq's OpenAI-compatible client
client = OpenAI(
api_key=GROQ_API_KEY,
base_url="https://api.groq.com/openai/v1"
)
# --- Load prompt templates from prompts folder ---
with open("prompts/determine_intent.txt", "r", encoding="utf-8") as f:
determine_intent_prompt = f.read()
with open("prompts/generate_reservation_conversation.txt", "r", encoding="utf-8") as f:
generate_reservation_conversation_prompt = f.read()
with open("prompts/interpret_sql_result.txt", "r", encoding="utf-8") as f:
interpret_sql_result_prompt = f.read()
with open("prompts/schema_prompt.txt", "r", encoding="utf-8") as f:
schema_prompt = f.read()
with open("prompts/store_user_info.txt", "r", encoding="utf-8") as f:
store_user_info_prompt = f.read()
st.set_page_config(page_title="FoodieSpot Assistant", layout="wide")
# --- Initialize State ---
if 'chat_history' not in st.session_state:
st.session_state.chat_history = []
if 'user_data' not in st.session_state:
st.session_state.user_data = {
"restaurant_name": None,
"user_name": None,
"contact": None,
"party_size": None,
"time": None
}
if 'vector_db' not in st.session_state:
st.session_state.vector_db = SchemaVectorDB()
vector_db = st.session_state.vector_db
if 'full_vector_db' not in st.session_state:
st.session_state.full_vector_db = FullVectorDB()
# Track last assistant reply for context
if 'last_assistant_reply' not in st.session_state:
st.session_state.last_assistant_reply = ""
# Fixed container at top for title + reservation
reservation_box = sticky_container(mode="top", border=False,z=999)
with reservation_box:
st.text("")
st.text("")
st.title("🍽️ FoodieSpot Assistant")
cols = st.columns([3, 3, 3, 2, 2, 1])
with cols[0]:
restaurant_name = st.text_input(
"Restaurant Name",
value=st.session_state.user_data.get("restaurant_name") or "",
key="restaurant_name_input"
)
if restaurant_name!="":
st.session_state.user_data["restaurant_name"] = restaurant_name
with cols[1]:
user_name = st.text_input(
"Your Name",
value=st.session_state.user_data.get("user_name") or "",
key="user_name_input"
)
if user_name!="":
st.session_state.user_data["user_name"] = user_name
with cols[2]:
contact = st.text_input(
"Contact",
value=st.session_state.user_data.get("contact") or "",
key="contact_input"
)
if contact!="":
st.session_state.user_data["contact"] = contact
with cols[3]:
party_size = st.number_input(
"Party Size",
value=st.session_state.user_data.get("party_size") or 0,
key="party_size_input"
)
if party_size!=0:
st.session_state.user_data["party_size"] = party_size
with cols[4]:
time = st.number_input(
"Time(24hr form, 9-20, 8 ~ null)",
min_value=8,
max_value=20,
value=st.session_state.user_data.get("time") or 8,
key="time_input"
)
if time!=8:
st.session_state.user_data["time"] = time
# Place the BOOK button in the last column
with cols[5]:
st.text("")
st.text("")
book_clicked = st.button("BOOK", type="primary")
# Add a green BOOK button (primary style)
# book_clicked = st.button("BOOK", type="primary")
if book_clicked:
# Check if all required fields are filled
required_keys = ["restaurant_name", "user_name", "contact", "party_size", "time"]
if all(st.session_state.user_data.get(k) not in [None, "", 0, 8] for k in required_keys):
booking_conn = None
try:
user_data = st.session_state.user_data
party_size = int(user_data["party_size"])
tables_needed = -(-party_size // 4)
booking_conn = sqlite3.connect("db/restaurant_reservation.db")
booking_cursor = booking_conn.cursor()
booking_cursor.execute("SELECT id FROM restaurants WHERE LOWER(name) = LOWER(?)", (user_data["restaurant_name"],))
restaurant_row = booking_cursor.fetchone()
if not restaurant_row:
raise Exception("Restaurant not found.")
restaurant_id = restaurant_row[0]
booking_cursor.execute("""
SELECT t.id AS table_id, s.id AS slot_id
FROM tables t
JOIN slots s ON t.id = s.table_id
WHERE t.restaurant_id = ?
AND s.hour = ?
AND s.date = '2025-05-12'
AND s.is_reserved = 0
LIMIT ?
""", (restaurant_id, user_data["time"], tables_needed))
available = booking_cursor.fetchall()
if len(available) < tables_needed:
raise Exception("Not enough available tables.")
booking_cursor.execute("""
INSERT INTO reservations (restaurant_id, user_name, contact, date, time, party_size)
VALUES (?, ?, ?, '2025-05-12', ?, ?)
""", (restaurant_id, user_data["user_name"], user_data["contact"], user_data["time"], party_size))
reservation_id = booking_cursor.lastrowid
for table_id, _ in available:
booking_cursor.execute("INSERT INTO reservation_tables (reservation_id, table_id) VALUES (?, ?)", (reservation_id, table_id))
slot_ids = [slot_id for _, slot_id in available]
booking_cursor.executemany("UPDATE slots SET is_reserved = 1 WHERE id = ?", [(sid,) for sid in slot_ids])
booking_conn.commit()
booking_cursor.execute("SELECT name FROM restaurants WHERE id = ?", (restaurant_id,))
restaurant_name = booking_cursor.fetchone()[0]
confirmation_msg = (
f"βœ… Booking processed successfully!\n\n"
f"πŸ“ Restaurant: **{restaurant_name}**\n"
f"⏰ Time: **{user_data['time']} on 2025-05-12**\n"
f"🍽️ Tables Booked: **{tables_needed}**\n"
f"πŸ†” Reservation ID: **{reservation_id}**\n\n"
f"πŸ‘‰ Please mention this Reservation ID at the restaurant reception when you arrive."
)
st.success(confirmation_msg)
st.session_state.chat_history.append({'role': 'assistant', 'message': confirmation_msg})
st.session_state.user_data["restaurant_name"] = None
st.session_state.user_data["party_size"] = None
st.session_state.user_data["time"] = None
st.session_state.last_assistant_reply = ""
except Exception as e:
if booking_conn:
booking_conn.rollback()
st.error(f"❌ Booking failed: {e}")
finally:
if booking_conn:
booking_cursor = None
booking_conn.close()
else:
st.warning("⚠️ Missing user information. Please provide all booking details first.")
st.text("")
# Inject custom CSS for smaller font and tighter layout
st.markdown("""
<style>
.element-container:has(.streamlit-expander) {
margin-bottom: 0.5rem;
}
.streamlit-expanderHeader {
font-size: 0.9rem;
}
.streamlit-expanderContent {
font-size: 0.85rem;
padding: 0.5rem 1rem;
}
</style>
""", unsafe_allow_html=True)
with st.container():
col1, col2, col3 = st.columns(3)
with col1:
with st.expander("🍽️ Restaurants"):
st.markdown("""
- Bella Italia
- Spice Symphony
- Tokyo Ramen House
- Saffron Grill
- El Toro Loco
- Noodle Bar
- Le Petit Bistro
- Tandoori Nights
- Green Leaf Cafe
- Ocean Pearl
- Mama Mia Pizza
- The Dumpling Den
- Bangkok Express
- Curry Kingdom
- The Garden Table
- Skyline Dine
- Pasta Republic
- Street Tacos Co
- Miso Hungry
- Chez Marie
""")
with col2:
with st.expander("🌎 Cuisines"):
st.markdown("""
- Italian
- French
- Chinese
- Japanese
- Indian
- Mexican
- Thai
- Healthy
- Fusion
""")
with col3:
with st.expander("✨ Special Features"):
st.markdown("""
- Pet-Friendly
- Live Music
- Rooftop View
- Outdoor Seating
- Private Dining
""")
# --- Display previous chat history (before new input) ---
for msg in st.session_state.chat_history:
# Check if both 'role' and 'message' are not None
if msg['role'] is not None and msg['message'] is not None:
with st.chat_message(msg['role']):
st.markdown(msg['message'])
user_input = st.chat_input("Ask something about restaurants or reservations(eg. Tell me some best rated Italian cuisine restaurants)...")
if user_input:
# Show user message instantly
with st.chat_message("user"):
st.markdown(user_input)
st.session_state.chat_history.append({'role': 'user', 'message': user_input})
# Prepare conversation context
history_prompt = st.session_state.last_assistant_reply
# Store possible user info
user_info = store_user_info(user_input,history_prompt,store_user_info_prompt,client)
if user_info:
st.session_state.user_data.update(user_info)
# st.rerun()
# Detect intent
intent = determine_intent(user_input,determine_intent_prompt,client)
# st.write(intent)
if intent == "RUBBISH":
# Display user data for confirmation instead of invoking LLM
with st.chat_message("assistant"):
st.markdown("❌ Sorry, I didn't understand that. Could you rephrase your request?")
st.session_state.chat_history.append({
'role': 'assistant',
'message': "❌ Sorry, I didn't understand that. Could you rephrase your request?"
})
st.stop()
# Generate assistant reply
required_keys = ["restaurant_name", "user_name", "contact", "party_size", "time"]
user_data_complete = all(
k in st.session_state.user_data and st.session_state.user_data[k] not in [None, "", "NULL"]
for k in required_keys
)
if user_data_complete and intent != "BOOK":
# Format user data as a Markdown bullet list
user_details = "\n".join([f"- **{key.capitalize()}**: {value}" for key, value in st.session_state.user_data.items()])
with st.chat_message("assistant"):
st.markdown("βœ… I have all the details needed for your reservation:")
st.markdown(user_details)
st.markdown("If everything looks good, please type **`book`** to confirm the reservation.")
st.session_state.chat_history.append({
'role': 'assistant',
'message': f"βœ… I have all the details needed for your reservation:\n{user_details}\nPlease type **`book`** to confirm."
})
st.session_state.last_assistant_reply = "I have all the reservation details. Waiting for confirmation..."
st.rerun()
st.stop()
response_summary = None
if intent == "SELECT":
response_summary=handle_query(user_input, st.session_state.full_vector_db, client)
# First try semantic search
semantic_results = {}
# Search across all collections
restaurant_results = st.session_state.full_vector_db.semantic_search(user_input, "restaurants")
table_results = st.session_state.full_vector_db.semantic_search(user_input, "tables")
slot_results = st.session_state.full_vector_db.semantic_search(user_input, "slots")
if not is_large_output_request(user_input) and any([restaurant_results, table_results, slot_results]):
semantic_results = {
"restaurants": restaurant_results,
"tables": table_results,
"slots": slot_results
}
# Format semantic results
summary = []
for category, items in semantic_results.items():
if items:
summary.append(f"Found {len(items)} relevant {category}:")
summary.extend([f"- {item['name']}" if 'name' in item else f"- {item}"
for item in items[:3]])
st.write("### Semantic Search used")
response_summary = "\n".join(summary)
else:
# Fall back to SQL generation for large or exact output requests
sql = generate_sql_query_v2(user_input,SCHEMA_DESCRIPTIONS, history_prompt, vector_db, client)
result = execute_query(sql)
response_summary = interpret_result_v2(result, user_input, sql)
# sql = generate_sql_query_v2(user_input,history_prompt, vector_db, client)
# result = execute_query(sql)
# response_summary=interpret_result_v2(result, user_input, sql)
# if isinstance(result, pd.DataFrame):
# response_summary = interpret_sql_result(user_input, sql_query, result)
elif intent == "BOOK":
required_keys = ["restaurant_name", "user_name", "contact", "party_size", "time"]
if all(st.session_state.user_data.get(k) is not None for k in required_keys):
booking_conn = None
try:
user_data = st.session_state.user_data
party_size = int(user_data["party_size"])
tables_needed = -(-party_size // 4)
booking_conn = sqlite3.connect("db/restaurant_reservation.db")
booking_cursor = booking_conn.cursor()
booking_cursor.execute("SELECT id FROM restaurants WHERE LOWER(name) = LOWER(?)", (user_data["restaurant_name"],))
restaurant_row = booking_cursor.fetchone()
if not restaurant_row:
raise Exception("Restaurant not found.")
restaurant_id = restaurant_row[0]
booking_cursor.execute("""
SELECT t.id AS table_id, s.id AS slot_id
FROM tables t
JOIN slots s ON t.id = s.table_id
WHERE t.restaurant_id = ?
AND s.hour = ?
AND s.date = '2025-05-12'
AND s.is_reserved = 0
LIMIT ?
""", (restaurant_id, user_data["time"], tables_needed))
available = booking_cursor.fetchall()
# Debugging output
if len(available) < tables_needed:
raise Exception("Not enough available tables.")
booking_cursor.execute("""
INSERT INTO reservations (restaurant_id, user_name, contact, date, time, party_size)
VALUES (?, ?, ?, '2025-05-12', ?, ?)
""", (restaurant_id, user_data["user_name"], user_data["contact"], user_data["time"], party_size))
reservation_id = booking_cursor.lastrowid
for table_id, _ in available:
booking_cursor.execute("INSERT INTO reservation_tables (reservation_id, table_id) VALUES (?, ?)", (reservation_id, table_id))
slot_ids = [slot_id for _, slot_id in available]
booking_cursor.executemany("UPDATE slots SET is_reserved = 1 WHERE id = ?", [(sid,) for sid in slot_ids])
booking_conn.commit()
# Fetch the restaurant name to confirm
booking_cursor.execute("SELECT name FROM restaurants WHERE id = ?", (restaurant_id,))
restaurant_name = booking_cursor.fetchone()[0]
# Prepare confirmation details
confirmation_msg = (
f"βœ… Booking processed successfully!\n\n"
f"πŸ“ Restaurant: **{restaurant_name}**\n"
f"⏰ Time: **{user_data['time']} on 2025-05-12**\n"
f"🍽️ Tables Booked: **{tables_needed}**\n"
f"πŸ†” Reservation ID: **{reservation_id}**\n\n"
f"πŸ‘‰ Please mention this Reservation ID at the restaurant reception when you arrive."
)
response_summary = confirmation_msg
st.success(response_summary)
st.session_state.chat_history.append({'role': 'assistant', 'message': response_summary})
response_summary="βœ… Booking processed successfully."
st.session_state.user_data["restaurant_name"]=None
st.session_state.user_data["party_size"]=None
st.session_state.user_data["time"]=None
st.session_state.last_assistant_reply=""
except Exception as e:
if booking_conn:
booking_conn.rollback()
response_summary = f"❌ Booking failed: {e}"
st.error(response_summary)
finally:
if booking_conn:
booking_cursor=None
booking_conn.close()
else:
st.markdown("⚠️ Missing user information. Please provide all booking details first.")
response_summary = "⚠️ Missing user information. Please provide all booking details first."
elif intent == "GREET":
response_summary = "πŸ‘‹ Hello! How can I help you with your restaurant reservation today?"
elif intent == "RUBBISH":
response_summary = "❌ Sorry, I didn't understand that. Could you rephrase your request?"
# Generate assistant reply
if response_summary!="βœ… Booking processed successfully.":
follow_up = generate_reservation_conversation(
user_input,
history_prompt,
response_summary or "Info stored.",
json.dumps(st.session_state.user_data),generate_reservation_conversation_prompt,client
)
else:
follow_up="Thanks for booking with FoodieSpot restaurant chain, I could assist you in new booking, also I could tell about restaurant features, pricing, etc... "
# Show assistant reply instantly
with st.chat_message("assistant"):
st.markdown(follow_up)
st.session_state.chat_history.append({'role': 'assistant', 'message': follow_up})
# Update it after assistant speaks
st.session_state.last_assistant_reply = follow_up
st.rerun()
# Reset if booking done