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Update app.py
Browse files
app.py
CHANGED
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@@ -3,89 +3,62 @@
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import os
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import re
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import requests
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from datetime import datetime
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from typing import Optional
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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
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from Gradio_UI import GradioUI
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# ======================
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# TRAVEL TOOLS (
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# ======================
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@tool
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def get_weather_forecast(location: str, travel_dates: str) -> str:
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"""
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Get weather forecast
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Args:
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location: Destination city (e.g., "Barcelona")
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travel_dates:
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Returns:
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Weather summary with packing
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"""
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api_key = os.environ.get("OPENWEATHER_API_KEY")
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try:
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# Parse dates to get start date
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start_date = re.search(r"(\d{4}-\d{2}-\d{2})", travel_dates)
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if not start_date:
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raise ValueError("Invalid date format")
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# Try OpenWeatherMap first (more reliable)
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if api_key:
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city = re.sub(r"[^a-zA-Z\s]", "", location).strip()
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resp = requests.get(
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f"https://api.openweathermap.org/data/2.5/forecast",
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params={"q": city, "appid": api_key, "units": "metric"},
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timeout=10
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)
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if resp.status_code == 200:
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data = resp.json()
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day1 = data["list"][0]
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temp = day1["main"]["temp"]
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cond = day1["weather"][0]["description"]
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rain = "rain" in cond.lower() or day1.get("rain", {}).get("3h", 0) > 1
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return _generate_packing_advice(location, temp, cond, rain)
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# Fallback to wttr.in
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clean = re.sub(r"[^a-zA-Z0-9\s]", "", location).replace(" ", "+")
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resp = requests.get(f"http://wttr.in/{clean}?format=j1", timeout=10)
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except Exception:
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# Safe fallback
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return f"{location} typical weather: 15-25°C. Pack light layers, light jacket, and compact umbrella."
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def _generate_packing_advice(location: str, temp: float, condition: str, rain: bool) -> str:
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"""Helper to generate weather-based packing advice"""
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if temp > 25:
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clothes = "Light clothing, shorts, breathable fabrics"
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elif temp > 15:
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clothes = "Light layers, long sleeves, light jacket"
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else:
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clothes = "Warm layers, jacket, beanie recommended"
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if rain:
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clothes += " + waterproof jacket + compact umbrella"
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return f"{location} forecast: {temp:.0f}°C, {condition}. Packing: {clothes}"
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@tool
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def convert_currency(amount: float, from_currency: str, to_currency: str) -> str:
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"""
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Convert currency using Frankfurter API (no key required).
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Args:
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amount:
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from_currency: Source currency (e.g., "USD")
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to_currency: Target currency (e.g., "EUR")
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Returns:
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Formatted conversion result
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"""
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try:
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from_curr = from_currency.upper()[:3]
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params={"from": from_curr, "to": to_curr},
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timeout=10
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)
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except Exception:
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return f"{amount:,.0f} {from_currency} (conversion rate unavailable)"
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@tool
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def get_time_difference(
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"""
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Args:
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Returns:
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"""
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@tool
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def generate_packing_list(destination: str, weather_summary: str, trip_days: int, trip_type: str) -> str:
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"""
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Generate customized packing
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Args:
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destination: Destination name
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weather_summary: Weather conditions
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trip_days:
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trip_type: "city", "beach", "mountain", or "mixed"
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Returns:
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Formatted packing checklist
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"""
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# Clothing calculations
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tops = min(trip_days, trip_days // 2 + 2)
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bottoms = min(trip_days // 2 + 1, 4)
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clothes = [f"• Tops ({tops})", f"• Bottoms ({bottoms})"]
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if cold:
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clothes.extend(["• Warm jacket", "• Long underwear (if very cold)"])
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elif hot:
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clothes.extend(["• Light breathable fabrics", "• Sun hat"])
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else:
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clothes.append("• Light jacket (essential)")
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if rain:
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clothes.extend(["• Compact umbrella", "• Quick-dry clothing"])
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if trip_type == "beach":
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clothes.extend(["• Swimsuit (x2)", "• Flip-flops", "•
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elif trip_type == "mountain":
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clothes.extend(["• Sturdy hiking shoes", "• Moisture-wicking layers", "• Trekking
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return (
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f"🎒 SMART PACKING LIST ({trip_days}-day {trip_type} trip to {destination})\n"
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"━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n"
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"ESSENTIALS\n"
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"• Passport + photocopies + digital scans\n"
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"• Credit/debit cards + local currency
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"• Universal power adapter\n"
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"• Phone + portable charger + cables\n"
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"• Travel insurance documents\n"
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"\nCLOTHING\n" + "\n".join(clothes) + "\n"
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"\nHEALTH & HYGIENE\n"
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"• Prescription medications (in original packaging)\n"
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"• Basic first-aid kit\n"
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"• Hand sanitizer
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"• Travel-sized toiletries\n"
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"\n💡 Pro tip: Roll clothes to save space. Pack one versatile outfit per day + 1 extra."
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)
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@tool
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def build_itinerary(destination: str, attractions: str, budget_local: float, days: int) -> str:
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"""
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Create realistic day-by-day itinerary.
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Args:
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destination:
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attractions: Comma-separated
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budget_local:
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days:
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Returns:
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Formatted itinerary
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"""
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if not
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daily_budget = budget_local / max(days, 1)
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lines = [f"🗓️ {days}-DAY REALISTIC ITINERARY: {destination}", "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"]
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for d in range(1, days + 1):
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secondary = atts[d % len(atts)] if len(atts) > 1 else "Leisurely café break"
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lines.extend([
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f"\nDAY {d} | Budget: ~{daily_budget:,.0f} local currency",
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f" 09:00 - 12:00 {primary}",
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f" 12:30 - 14:00 Lunch at local spot",
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f" 14:30 - 17:00 {secondary}",
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f" 19:00+ Dinner + evening stroll"
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])
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lines.append("\n💡 Book major attractions online in advance
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return "\n".join(lines)
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@tool
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weather: str,
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timezone_info: str,
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itinerary: str,
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image_url_1: str,
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image_url_2: str
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) -> str:
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"""
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Compile
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"""
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return f"""# 🌍 {destination} Travel Catalogue
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*
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---
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---
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## 🌤️ Weather & Packing Guidance
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{weather}
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---
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## 🗓️ Your Personalized Itinerary
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{itinerary}
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---
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## 🎒 Packing Checklist
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{
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---
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## 📸 Visual Inspiration
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<div style="display: flex; gap: 20px; margin: 20px 0;">
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<div style="flex: 1; text-align: center;">
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<img src="{image_url_1}" alt="{destination} landmark" style="max-width: 100%; border-radius: 8px; box-shadow: 0 4px 8px rgba(0,0,0,0.1);">
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</div>
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<div style="flex: 1; text-align: center;">
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<img src="{image_url_2}" alt="{destination} street scene" style="max-width: 100%; border-radius: 8px; box-shadow: 0 4px 8px rgba(0,0,0,0.1);">
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<p><em>Vibrant
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</div>
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</div>
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---
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> 💡 **Travel Pro Tips**
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> • Download offline
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> • Learn 5 basic phrases in the local language
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> • Keep digital copies of
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> • Budget 10-15% extra for
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> • Public transport passes often save 30%+ vs single tickets
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"""
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# ======================
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print("🚀 Initializing Travel Catalogue Creator...")
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# Load tools
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try:
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image_gen = load_tool("black-forest-labs/FLUX.1-schnell", trust_remote_code=True)
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except:
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web_search = DuckDuckGoSearchTool()
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model = HfApiModel(
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max_tokens=2048,
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temperature=0.3,
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model_id="Qwen/Qwen2.5-Coder-32B-Instruct",
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)
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# System prompt
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agent = CodeAgent(
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model=model,
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tools=[
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build_itinerary,
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assemble_catalogue,
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],
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max_steps=25,
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verbosity_level=1,
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name="TravelCatalogueCreator",
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description="Creates comprehensive, personalized travel catalogues with images",
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prompt_templates=
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)
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# Launch UI
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import os
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import re
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import requests
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from datetime import datetime
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from typing import Optional
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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
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from Gradio_UI import GradioUI
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# ======================
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# TRAVEL TOOLS (SMOLAGENTS-COMPLIANT DOCSTRINGS)
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# ======================
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@tool
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def get_weather_forecast(location: str, travel_dates: str) -> str:
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"""
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Get weather forecast for destination using wttr.in API.
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Args:
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location: Destination city name (e.g., "Barcelona")
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travel_dates: Travel date range string (e.g., "October 15-19")
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Returns:
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Weather summary string with temperature and packing recommendations
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"""
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try:
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clean = re.sub(r"[^a-zA-Z0-9\s]", "", location).replace(" ", "+")
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resp = requests.get(f"http://wttr.in/{clean}?format=j1", timeout=10)
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resp.raise_for_status()
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data = resp.json()
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cur = data["current_condition"][0]
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temp = int(cur["temp_C"])
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cond = cur["lang_en"][0]["value"].lower()
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if temp > 25:
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pack = "Light clothing, shorts, breathable fabrics, sunscreen, hat"
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elif temp > 15:
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pack = "Light layers, long sleeves, light jacket"
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else:
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pack = "Warm layers, jacket, beanie recommended"
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if "rain" in cond or "shower" in cond:
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pack += " + compact umbrella + waterproof jacket"
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return f"{location} forecast: {temp}°C, {cond}. Packing: {pack}"
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except Exception:
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return f"{location} typical weather: 15-25°C. Pack versatile layers, light jacket, and compact umbrella."
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@tool
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def convert_currency(amount: float, from_currency: str, to_currency: str) -> str:
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"""
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Convert currency amount using Frankfurter API (no API key required).
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Args:
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amount: Numeric amount to convert (e.g., 1200.0)
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| 57 |
+
from_currency: Source currency ISO code (e.g., "USD")
|
| 58 |
+
to_currency: Target currency ISO code (e.g., "EUR")
|
| 59 |
+
|
| 60 |
Returns:
|
| 61 |
+
Formatted string showing conversion result and exchange rate
|
| 62 |
"""
|
| 63 |
try:
|
| 64 |
from_curr = from_currency.upper()[:3]
|
|
|
|
| 72 |
params={"from": from_curr, "to": to_curr},
|
| 73 |
timeout=10
|
| 74 |
)
|
| 75 |
+
resp.raise_for_status()
|
| 76 |
+
rate = resp.json()["rates"][to_curr]
|
| 77 |
+
converted = amount * rate
|
| 78 |
+
return f"{amount:,.0f} {from_curr} = {converted:,.0f} {to_curr} (1 {from_curr} = {rate:.2f} {to_curr})"
|
| 79 |
except Exception:
|
| 80 |
+
return f"{amount:,.0f} {from_currency} (conversion rate unavailable)"
|
|
|
|
|
|
|
| 81 |
|
| 82 |
@tool
|
| 83 |
+
def get_time_difference(origin_city: str, destination_city: str) -> str:
|
| 84 |
"""
|
| 85 |
+
Calculate time difference between origin and destination cities using heuristic mapping.
|
| 86 |
+
|
| 87 |
Args:
|
| 88 |
+
origin_city: Traveler's home city name (e.g., "New York")
|
| 89 |
+
destination_city: Travel destination city name (e.g., "Paris")
|
| 90 |
+
|
| 91 |
Returns:
|
| 92 |
+
Human-readable string describing time difference and jet lag advice
|
| 93 |
"""
|
| 94 |
+
city_tz = {
|
| 95 |
+
"new york": -5, "london": 0, "paris": 1, "tokyo": 9, "sydney": 10,
|
| 96 |
+
"los angeles": -8, "chicago": -6, "mumbai": 5.5, "dubai": 4,
|
| 97 |
+
"singapore": 8, "berlin": 1, "rome": 1, "barcelona": 1, "madrid": 1,
|
| 98 |
+
"amsterdam": 1, "vienna": 1, "prague": 1, "budapest": 1, "warsaw": 1,
|
| 99 |
+
"stockholm": 1, "oslo": 1, "copenhagen": 1, "helsinki": 2, "athens": 2,
|
| 100 |
+
"istanbul": 3, "cairo": 2, "bangkok": 7, "seoul": 9, "beijing": 8,
|
| 101 |
+
"shanghai": 8, "hong kong": 8, "manila": 8, "kuala lumpur": 8,
|
| 102 |
+
"jakarta": 7, "delhi": 5.5, "rio de janeiro": -3, "sao paulo": -3,
|
| 103 |
+
"buenos aires": -3, "mexico city": -6, "toronto": -5, "vancouver": -8,
|
| 104 |
+
"montreal": -5, "miami": -5, "las vegas": -8, "san francisco": -8,
|
| 105 |
+
"seattle": -8, "denver": -7, "dallas": -6, "houston": -6, "atlanta": -5,
|
| 106 |
+
"boston": -5, "philadelphia": -5, "washington dc": -5, "orlando": -5,
|
| 107 |
+
"phoenix": -7, "minneapolis": -6, "detroit": -5, "pittsburgh": -5,
|
| 108 |
+
"cleveland": -5, "cincinnati": -5, "st louis": -6, "kansas city": -6,
|
| 109 |
+
"new orleans": -6, "memphis": -6, "nashville": -6, "charlotte": -5,
|
| 110 |
+
"raleigh": -5, "baltimore": -5, "milwaukee": -6, "indianapolis": -5,
|
| 111 |
+
"louisville": -5, "portland": -8, "salt lake city": -7, "albuquerque": -7,
|
| 112 |
+
"tucson": -7, "fresno": -8, "sacramento": -8, "oakland": -8, "san jose": -8,
|
| 113 |
+
"las palmas": 0, "tenerife": 0, "lisbon": 0, "madrid": 1, "barcelona": 1,
|
| 114 |
+
"valencia": 1, "seville": 1, "malaga": 1, "bilbao": 1, "zaragoza": 1,
|
| 115 |
+
"granada": 1, "alicante": 1, "murcia": 1, "palma": 1, "ibiza": 1,
|
| 116 |
+
"menorca": 1, "fuerteventura": 0, "lanzarote": 0, "tenerife": 0,
|
| 117 |
+
"gran canaria": 0, "la palma": 0, "el hierro": 0, "la gomera": 0,
|
| 118 |
+
"santa cruz de tenerife": 0, "las palmas de gran canaria": 0,
|
| 119 |
+
}
|
| 120 |
+
|
| 121 |
+
origin_key = origin_city.lower().strip()
|
| 122 |
+
dest_key = destination_city.lower().strip()
|
| 123 |
+
|
| 124 |
+
origin_tz = city_tz.get(origin_key, 0)
|
| 125 |
+
dest_tz = city_tz.get(dest_key, 0)
|
| 126 |
+
diff = dest_tz - origin_tz
|
| 127 |
+
|
| 128 |
+
if diff == 0:
|
| 129 |
+
return f"No time difference between {origin_city} and {destination_city}."
|
| 130 |
+
elif diff > 0:
|
| 131 |
+
return f"{destination_city} is {diff} hours ahead of {origin_city}. Prepare for eastward jet lag (may cause fatigue)."
|
| 132 |
+
else:
|
| 133 |
+
return f"{destination_city} is {abs(diff)} hours behind {origin_city}. Prepare for westward jet lag (may cause insomnia)."
|
| 134 |
|
| 135 |
@tool
|
| 136 |
def generate_packing_list(destination: str, weather_summary: str, trip_days: int, trip_type: str) -> str:
|
| 137 |
"""
|
| 138 |
+
Generate customized packing checklist based on destination, weather, duration and trip type.
|
| 139 |
+
|
| 140 |
Args:
|
| 141 |
+
destination: Destination city or region name (e.g., "Barcelona")
|
| 142 |
+
weather_summary: Weather forecast string containing temperature and conditions
|
| 143 |
+
trip_days: Total number of travel days (integer >= 1)
|
| 144 |
+
trip_type: Type of trip: "city", "beach", "mountain", or "mixed"
|
| 145 |
+
|
| 146 |
Returns:
|
| 147 |
+
Formatted multi-section packing checklist as string
|
| 148 |
"""
|
| 149 |
+
weather_lower = weather_summary.lower()
|
| 150 |
+
cold = any(w in weather_lower for w in ["cold", "cool", "10°c", "11°c", "12°c", "13°c", "14°c", "jacket", "below 15"])
|
| 151 |
+
rain = any(w in weather_lower for w in ["rain", "shower", "drizzle", "umbrella", "precipitation"])
|
| 152 |
+
hot = any(w in weather_lower for w in ["hot", "warm", "25°c", "26°c", "27°c", "28°c", "29°c", "30°c", "above 25"])
|
| 153 |
|
|
|
|
| 154 |
tops = min(trip_days, trip_days // 2 + 2)
|
| 155 |
bottoms = min(trip_days // 2 + 1, 4)
|
| 156 |
|
| 157 |
clothes = [f"• Tops ({tops})", f"• Bottoms ({bottoms})"]
|
| 158 |
if cold:
|
| 159 |
+
clothes.extend(["• Warm jacket/coat", "• Long underwear (if very cold)", "• Warm socks (x3)"])
|
| 160 |
elif hot:
|
| 161 |
+
clothes.extend(["• Light breathable fabrics", "• Sun hat", "• Sunglasses", "• Reef-safe sunscreen (SPF 50+)"])
|
| 162 |
else:
|
| 163 |
+
clothes.append("• Light jacket or sweater (essential)")
|
| 164 |
|
| 165 |
if rain:
|
| 166 |
+
clothes.extend(["• Compact travel umbrella", "• Quick-dry clothing", "• Waterproof shoes or sandals"])
|
| 167 |
|
| 168 |
if trip_type == "beach":
|
| 169 |
+
clothes.extend(["• Swimsuit (x2)", "• Beach towel", "• Flip-flops/sandals", "• Beach bag"])
|
| 170 |
elif trip_type == "mountain":
|
| 171 |
+
clothes.extend(["• Sturdy hiking shoes", "• Moisture-wicking base layers", "• Trekking socks (x3)", "• Daypack"])
|
| 172 |
|
| 173 |
return (
|
| 174 |
f"🎒 SMART PACKING LIST ({trip_days}-day {trip_type} trip to {destination})\n"
|
| 175 |
"━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n"
|
| 176 |
"ESSENTIALS\n"
|
| 177 |
+
"• Passport + photocopies + digital scans in cloud\n"
|
| 178 |
+
"• Credit/debit cards + small amount of local currency\n"
|
| 179 |
"• Universal power adapter\n"
|
| 180 |
+
"• Phone + portable charger (10,000mAh+) + cables\n"
|
| 181 |
+
"• Travel insurance documents (digital + physical)\n"
|
| 182 |
"\nCLOTHING\n" + "\n".join(clothes) + "\n"
|
| 183 |
"\nHEALTH & HYGIENE\n"
|
| 184 |
+
"• Prescription medications (in original packaging + doctor's note)\n"
|
| 185 |
+
"• Basic first-aid kit (bandages, antiseptic, pain relievers)\n"
|
| 186 |
+
"• Hand sanitizer (60ml travel size)\n"
|
| 187 |
+
"• Travel-sized toiletries (toothbrush, toothpaste, deodorant)\n"
|
| 188 |
+
"\n💡 Pro tip: Roll clothes to save space. Pack one versatile outfit per day + 1 extra day buffer."
|
| 189 |
)
|
| 190 |
|
| 191 |
@tool
|
| 192 |
def build_itinerary(destination: str, attractions: str, budget_local: float, days: int) -> str:
|
| 193 |
"""
|
| 194 |
+
Create realistic day-by-day travel itinerary with time allocations and budget guidance.
|
| 195 |
+
|
| 196 |
Args:
|
| 197 |
+
destination: Destination city name (e.g., "Barcelona")
|
| 198 |
+
attractions: Comma-separated list of attraction names (e.g., "Sagrada Familia, Park Guell")
|
| 199 |
+
budget_local: Total budget converted to local currency (float)
|
| 200 |
+
days: Number of full travel days (integer >= 1)
|
| 201 |
+
|
| 202 |
Returns:
|
| 203 |
+
Formatted multi-day itinerary with time slots and daily budget allocation
|
| 204 |
"""
|
| 205 |
+
att_list = [a.strip() for a in attractions.split(",") if a.strip()]
|
| 206 |
+
if not att_list:
|
| 207 |
+
att_list = ["Old Town exploration", "Local museum", "Scenic viewpoint", "Local market"]
|
| 208 |
|
| 209 |
daily_budget = budget_local / max(days, 1)
|
| 210 |
lines = [f"🗓️ {days}-DAY REALISTIC ITINERARY: {destination}", "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"]
|
| 211 |
|
| 212 |
for d in range(1, days + 1):
|
| 213 |
+
primary = att_list[(d - 1) % len(att_list)]
|
| 214 |
+
secondary = att_list[d % len(att_list)] if len(att_list) > 1 else "Leisurely café break"
|
|
|
|
| 215 |
|
| 216 |
lines.extend([
|
| 217 |
f"\nDAY {d} | Budget: ~{daily_budget:,.0f} local currency",
|
| 218 |
+
f" 09:00 - 12:00 {primary} (arrive early to avoid crowds)",
|
| 219 |
+
f" 12:30 - 14:00 Lunch at local spot (budget: ~{daily_budget * 0.25:,.0f})",
|
| 220 |
f" 14:30 - 17:00 {secondary}",
|
| 221 |
+
f" 19:00+ Dinner + evening stroll (budget: ~{daily_budget * 0.35:,.0f})"
|
| 222 |
])
|
| 223 |
|
| 224 |
+
lines.append("\n💡 Pro tips: Book major attractions online in advance. Use public transport day passes for 30%+ savings.")
|
| 225 |
return "\n".join(lines)
|
| 226 |
|
| 227 |
@tool
|
|
|
|
| 233 |
weather: str,
|
| 234 |
timezone_info: str,
|
| 235 |
itinerary: str,
|
| 236 |
+
packing_list: str,
|
| 237 |
image_url_1: str,
|
| 238 |
image_url_2: str
|
| 239 |
) -> str:
|
| 240 |
"""
|
| 241 |
+
Compile all travel research into a beautiful, structured Markdown travel catalogue.
|
| 242 |
+
|
| 243 |
+
Args:
|
| 244 |
+
destination: Destination city name (e.g., "Barcelona")
|
| 245 |
+
origin: Traveler's home city (e.g., "New York")
|
| 246 |
+
dates: Travel date range (e.g., "Oct 15-19, 2026")
|
| 247 |
+
budget_summary: Formatted budget conversion string
|
| 248 |
+
weather: Weather forecast with packing advice
|
| 249 |
+
timezone_info: Time difference and jet lag guidance
|
| 250 |
+
itinerary: Day-by-day schedule with time allocations
|
| 251 |
+
packing_list: Complete customized packing checklist
|
| 252 |
+
image_url_1: URL of first generated destination image (landmark)
|
| 253 |
+
image_url_2: URL of second generated destination image (street scene)
|
| 254 |
+
|
| 255 |
+
Returns:
|
| 256 |
+
Complete Markdown-formatted travel catalogue with embedded images
|
| 257 |
"""
|
| 258 |
return f"""# 🌍 {destination} Travel Catalogue
|
| 259 |
+
*Planned from {origin} • {dates} • {budget_summary}*
|
| 260 |
|
| 261 |
---
|
| 262 |
|
|
|
|
| 265 |
|
| 266 |
---
|
| 267 |
|
| 268 |
+
## 🌤️ Weather Forecast & Packing Guidance
|
| 269 |
{weather}
|
| 270 |
|
| 271 |
---
|
| 272 |
|
| 273 |
+
## 🗓️ Your Personalized {len([d for d in itinerary.split('DAY ') if d.strip() and d[0].isdigit()])}-Day Itinerary
|
| 274 |
{itinerary}
|
| 275 |
|
| 276 |
---
|
| 277 |
|
| 278 |
+
## 🎒 Complete Packing Checklist
|
| 279 |
+
{packing_list}
|
| 280 |
|
| 281 |
---
|
| 282 |
|
| 283 |
## 📸 Visual Inspiration
|
| 284 |
+
|
| 285 |
<div style="display: flex; gap: 20px; margin: 20px 0;">
|
| 286 |
<div style="flex: 1; text-align: center;">
|
| 287 |
<img src="{image_url_1}" alt="{destination} landmark" style="max-width: 100%; border-radius: 8px; box-shadow: 0 4px 8px rgba(0,0,0,0.1);">
|
|
|
|
| 289 |
</div>
|
| 290 |
<div style="flex: 1; text-align: center;">
|
| 291 |
<img src="{image_url_2}" alt="{destination} street scene" style="max-width: 100%; border-radius: 8px; box-shadow: 0 4px 8px rgba(0,0,0,0.1);">
|
| 292 |
+
<p><em>Vibrant local atmosphere</em></p>
|
| 293 |
</div>
|
| 294 |
</div>
|
| 295 |
|
| 296 |
---
|
| 297 |
|
| 298 |
> 💡 **Travel Pro Tips**
|
| 299 |
+
> • Download offline Google Maps before departure
|
| 300 |
+
> • Learn 5 basic phrases in the local language (hello, thank you, please, excuse me, bill please)
|
| 301 |
+
> • Keep digital copies of passport/insurance in cloud storage + email to yourself
|
| 302 |
+
> • Budget 10-15% extra for spontaneous experiences
|
| 303 |
+
> • Public transport passes often save 30%+ vs single tickets
|
| 304 |
+
> • Always carry small local currency for markets/tips
|
| 305 |
"""
|
| 306 |
|
| 307 |
# ======================
|
|
|
|
| 311 |
print("🚀 Initializing Travel Catalogue Creator...")
|
| 312 |
|
| 313 |
# Load tools
|
| 314 |
+
web_search = DuckDuckGoSearchTool()
|
| 315 |
+
|
| 316 |
+
# Try to load image generation tool (fallback if unavailable)
|
| 317 |
try:
|
| 318 |
image_gen = load_tool("black-forest-labs/FLUX.1-schnell", trust_remote_code=True)
|
| 319 |
+
except Exception:
|
| 320 |
+
try:
|
| 321 |
+
image_gen = load_tool("stabilityai/stable-diffusion-3-medium", trust_remote_code=True)
|
| 322 |
+
except Exception as e:
|
| 323 |
+
raise RuntimeError(f"Failed to load image generation tool: {e}")
|
| 324 |
|
|
|
|
| 325 |
model = HfApiModel(
|
| 326 |
max_tokens=2048,
|
| 327 |
+
temperature=0.3,
|
| 328 |
model_id="Qwen/Qwen2.5-Coder-32B-Instruct",
|
| 329 |
)
|
| 330 |
|
| 331 |
+
# System prompt enforcing strict 8-step workflow with mandatory image generation
|
| 332 |
+
system_prompt = """
|
| 333 |
+
You are TravelCatalogueCreator, an expert travel planner. ALWAYS follow this EXACT 8-step workflow:
|
| 334 |
+
|
| 335 |
+
1. RESEARCH: Use DuckDuckGoSearchTool to find:
|
| 336 |
+
- Top 4-5 attractions in {destination}
|
| 337 |
+
- Local customs and etiquette tips
|
| 338 |
+
- Safety considerations
|
| 339 |
+
- Typical food/transport prices
|
| 340 |
+
|
| 341 |
+
2. WEATHER: Use get_weather_forecast with {destination} and {travel_dates}
|
| 342 |
+
→ Capture temperature range and precipitation likelihood
|
| 343 |
+
|
| 344 |
+
3. CURRENCY: Use convert_currency to convert {budget_amount} {home_currency} to {local_currency}
|
| 345 |
+
→ Note the exchange rate for daily budgeting
|
| 346 |
+
|
| 347 |
+
4. TIMEZONE: Use get_time_difference with {origin_city} and {destination}
|
| 348 |
+
→ Calculate jet lag impact
|
| 349 |
+
|
| 350 |
+
5. ITINERARY: Use build_itinerary with:
|
| 351 |
+
- destination={destination}
|
| 352 |
+
- attractions=[top attractions from Step 1]
|
| 353 |
+
- budget_local=[daily budget from Step 3]
|
| 354 |
+
- days=[trip duration]
|
| 355 |
+
|
| 356 |
+
6. PACKING: Use generate_packing_list with:
|
| 357 |
+
- destination={destination}
|
| 358 |
+
- weather_summary=[output from Step 2]
|
| 359 |
+
- trip_days=[duration]
|
| 360 |
+
- trip_type="city" (default unless beach/mountain specified)
|
| 361 |
+
|
| 362 |
+
7. IMAGES: CALL image_generation_tool EXACTLY TWICE:
|
| 363 |
+
First call: "{destination} iconic landmark photorealistic travel photo, golden hour, 4k"
|
| 364 |
+
Second call: "{destination} vibrant street scene with locals, authentic atmosphere, travel photography"
|
| 365 |
+
|
| 366 |
+
8. ASSEMBLE: Use assemble_catalogue with ALL previous outputs including BOTH image URLs
|
| 367 |
+
|
| 368 |
+
CRITICAL RULES:
|
| 369 |
+
• NEVER skip image generation (Step 7 is mandatory - 2 calls required)
|
| 370 |
+
• NEVER call final_answer directly – always use assemble_catalogue first
|
| 371 |
+
• If a tool fails, retry ONCE with simplified parameters before proceeding
|
| 372 |
+
• Always extract concrete values (temps, rates, times) from tool outputs
|
| 373 |
+
• Budget must be converted to local currency before itinerary planning
|
| 374 |
+
• You MUST complete all 8 steps before finishing
|
| 375 |
+
"""
|
| 376 |
+
|
| 377 |
agent = CodeAgent(
|
| 378 |
model=model,
|
| 379 |
tools=[
|
|
|
|
| 386 |
build_itinerary,
|
| 387 |
assemble_catalogue,
|
| 388 |
],
|
| 389 |
+
max_steps=25,
|
| 390 |
verbosity_level=1,
|
| 391 |
name="TravelCatalogueCreator",
|
| 392 |
description="Creates comprehensive, personalized travel catalogues with images",
|
| 393 |
+
prompt_templates={"system_prompt": system_prompt},
|
| 394 |
)
|
| 395 |
|
| 396 |
# Launch UI
|