Spaces:
Sleeping
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Update app.py
Browse files
app.py
CHANGED
@@ -1,6 +1,7 @@
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import gradio as gr
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from huggingface_hub import InferenceClient
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import json
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# Hotel data
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HOTELS = [
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}
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]
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client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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-
def
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suitable_hotels = []
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for hotel in HOTELS:
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if hotel["pricingPerDay"] <=
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def generate_itinerary(
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destination: str,
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temperature: float,
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top_p: float,
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) -> str:
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# Calculate
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prompt = f"""Create a detailed {num_days}-day travel itinerary for a trip:
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- From: {origin}
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- To: {destination}
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- Total Budget: ${budget} (approximately ${daily_budget:.2f} per day after transportation)
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- Type of Holiday: {holiday_type}
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Consider these recommended accommodations based on the budget and preferences:
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{hotel_recommendations}
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Please include in your itinerary:
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1. A day-by-day breakdown of activities and sightseeing
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2. Estimated costs for each activity
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3. Suggested accommodation from the recommended hotels above
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4. Local transportation recommendations
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5. Must-try local food spots and estimated meal costs
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6. Any money-saving tips
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-
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messages = [
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{"role": "system", "content": system_message},
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]
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response = ""
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-
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for message in client.chat_completion(
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messages,
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max_tokens=max_tokens,
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response += token
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yield response
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# Create the Gradio interface
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown("# 🌎 AI Travel Itinerary Generator ✈️")
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gr.Markdown("Enter your travel details
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with gr.Row():
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with gr.Column():
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origin = gr.Textbox(label="Starting Location", placeholder="e.g., New York, USA")
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destination = gr.Textbox(label="Destination", placeholder="e.g., Paris, France")
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budget = gr.Slider(minimum=
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num_days = gr.Slider(minimum=1, maximum=14, value=3, step=1, label="Number of Days")
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holiday_type = gr.Dropdown(
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choices=[
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"Cultural & Sightseeing",
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"Adventure & Outdoor",
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"Relaxation & Wellness",
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"Food & Culinary",
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"Budget Backpacking",
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"Luxury & High-End",
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"Family-Friendly",
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],
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label="Type of Holiday",
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value="Cultural & Sightseeing"
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)
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with gr.Accordion("Advanced Settings", open=False):
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system_message = gr.Textbox(
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value="You are an experienced travel planner
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label="System Message",
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lines=3
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)
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top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p")
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with gr.Row():
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-
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output = gr.Textbox(
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label="Your Custom Itinerary",
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lines=20,
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show_copy_button=True
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)
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# Display available hotels
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with gr.Accordion("Available Hotels", open=False):
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hotel_info = "\n\n".join([
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f"**{hotel['name']}**\n" +
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f"- Price per day: ${hotel['pricingPerDay']}\n" +
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f"- Room Types: {', '.join(hotel['roomTypes'])}\n" +
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f"- {hotel['description']}"
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for hotel in HOTELS
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])
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gr.Markdown(hotel_info)
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generate_button.click(
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fn=generate_itinerary,
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import gradio as gr
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from huggingface_hub import InferenceClient
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import json
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from typing import Dict, List, Tuple
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# Hotel data
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HOTELS = [
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}
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]
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# Cost constants
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COST_FACTORS = {
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"local_transport_per_day": {
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"Budget Backpacking": 10,
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"Cultural & Sightseeing": 20,
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"Adventure & Outdoor": 25,
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"Food & Culinary": 20,
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"Relaxation & Wellness": 15,
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"Luxury & High-End": 50,
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"Family-Friendly": 30
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},
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"food_cost_per_day": {
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"Budget Backpacking": 30,
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"Cultural & Sightseeing": 50,
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"Adventure & Outdoor": 45,
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"Food & Culinary": 80,
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"Relaxation & Wellness": 60,
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"Luxury & High-End": 120,
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"Family-Friendly": 70
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},
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"activities_cost_per_day": {
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"Budget Backpacking": 20,
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"Cultural & Sightseeing": 40,
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"Adventure & Outdoor": 60,
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"Food & Culinary": 45,
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"Relaxation & Wellness": 80,
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"Luxury & High-End": 150,
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"Family-Friendly": 70
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}
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}
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client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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def calculate_flight_cost(origin: str, destination: str, budget: int) -> float:
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"""Estimate flight cost based on budget and journey type."""
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# Basic estimation - can be enhanced with actual flight data API
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if budget < 2000:
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return budget * 0.3 # 30% of budget for budget trips
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elif budget < 5000:
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return budget * 0.35 # 35% for mid-range trips
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else:
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return budget * 0.4 # 40% for luxury trips
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def calculate_daily_costs(holiday_type: str) -> Dict[str, float]:
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"""Calculate daily costs based on holiday type."""
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return {
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"local_transport": COST_FACTORS["local_transport_per_day"][holiday_type],
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"food": COST_FACTORS["food_cost_per_day"][holiday_type],
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"activities": COST_FACTORS["activities_cost_per_day"][holiday_type]
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}
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def get_suitable_hotels(budget_per_day: float, holiday_type: str) -> List[Dict]:
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"""Get suitable hotels based on daily budget and holiday type."""
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max_hotel_budget = budget_per_day * 0.4 # 40% of daily budget for accommodation
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suitable_hotels = []
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for hotel in HOTELS:
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if hotel["pricingPerDay"] <= max_hotel_budget:
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match_score = 0
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# Score hotels based on type match
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if holiday_type == "Relaxation & Wellness" and ("Haven" in hotel["name"] or "Retreat" in hotel["name"]):
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match_score += 2
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elif holiday_type == "Adventure & Outdoor" and ("Mountain" in hotel["name"] or "Sands" in hotel["name"]):
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match_score += 2
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elif holiday_type == "Cultural & Sightseeing" and "Urban" in hotel["name"]:
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match_score += 2
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elif holiday_type == "Family-Friendly" and "Family" in str(hotel["roomTypes"]):
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match_score += 2
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suitable_hotels.append({"hotel": hotel, "match_score": match_score})
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# Sort by match score and then price
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sorted_hotels = sorted(suitable_hotels, key=lambda x: (-x["match_score"], x["hotel"]["pricingPerDay"]))
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return [hotel["hotel"] for hotel in sorted_hotels]
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def calculate_total_costs(
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origin: str,
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destination: str,
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budget: int,
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num_days: int,
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holiday_type: str,
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selected_hotel: Dict
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) -> Dict[str, float]:
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"""Calculate detailed cost breakdown."""
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flight_cost = calculate_flight_cost(origin, destination, budget)
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daily_costs = calculate_daily_costs(holiday_type)
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accommodation_cost = selected_hotel["pricingPerDay"] * num_days
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local_transport_cost = daily_costs["local_transport"] * num_days
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food_cost = daily_costs["food"] * num_days
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activities_cost = daily_costs["activities"] * num_days
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total_cost = (
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flight_cost +
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accommodation_cost +
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local_transport_cost +
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food_cost +
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activities_cost
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)
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return {
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"flight": flight_cost,
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"accommodation": accommodation_cost,
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"local_transport": local_transport_cost,
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"food": food_cost,
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"activities": activities_cost,
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"total": total_cost,
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"per_day": total_cost / num_days
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}
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def format_cost_breakdown(costs: Dict[str, float]) -> str:
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"""Format cost breakdown for display."""
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return f"""Cost Breakdown:
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- Flight: ${costs['flight']:,.2f}
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- Accommodation: ${costs['accommodation']:,.2f}
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- Local Transportation: ${costs['local_transport']:,.2f}
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- Food & Dining: ${costs['food']:,.2f}
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- Activities & Entertainment: ${costs['activities']:,.2f}
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Total Cost: ${costs['total']:,.2f}
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Average Daily Cost: ${costs['per_day']:,.2f}"""
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def generate_itinerary(
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destination: str,
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temperature: float,
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top_p: float,
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) -> str:
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# Calculate initial costs and get hotel recommendations
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recommended_hotels = get_suitable_hotels(budget/num_days, holiday_type)
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if not recommended_hotels:
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return "Error: No suitable hotels found for your budget. Please increase your budget or reduce the number of days."
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selected_hotel = recommended_hotels[0]
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costs = calculate_total_costs(origin, destination, budget, num_days, holiday_type, selected_hotel)
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if costs["total"] > budget:
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return f"""Warning: The estimated total cost (${costs['total']:,.2f}) exceeds your budget (${budget:,.2f}).
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Please consider:
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1. Increasing your budget
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2. Reducing the number of days
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3. Choosing a more budget-friendly holiday type
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4. Selecting different destinations
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{format_cost_breakdown(costs)}"""
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# Construct prompt with accurate cost information
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prompt = f"""Create a detailed {num_days}-day travel itinerary for a trip:
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From: {origin}
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To: {destination}
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Budget Breakdown: {format_cost_breakdown(costs)}
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Holiday Type: {holiday_type}
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Recommended Accommodation:
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{selected_hotel['name']} (${selected_hotel['pricingPerDay']}/night)
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{selected_hotel['description']}
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Please provide:
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1. Day-by-day itinerary with specific activities and timing
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2. Daily budget allocation matching the cost breakdown above
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3. Specific local transportation recommendations
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4. Restaurant suggestions within the food budget (${costs['food']/num_days:.2f}/day)
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5. Activity recommendations within the activities budget (${costs['activities']/num_days:.2f}/day)
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Format as a clear day-by-day breakdown with budgets for each activity."""
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messages = [
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{"role": "system", "content": system_message},
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]
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response = ""
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for message in client.chat_completion(
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messages,
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max_tokens=max_tokens,
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response += token
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yield response
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# [Previous Gradio interface code remains the same, just update the button click handler to use the new generate_itinerary function]
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# Create the Gradio interface
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown("# 🌎 AI Travel Itinerary Generator ✈️")
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gr.Markdown("Enter your travel details for a customized itinerary with accurate cost calculations!")
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with gr.Row():
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with gr.Column():
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origin = gr.Textbox(label="Starting Location", placeholder="e.g., New York, USA")
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destination = gr.Textbox(label="Destination", placeholder="e.g., Paris, France")
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budget = gr.Slider(minimum=1000, maximum=15000, value=3000, step=100, label="Total Budget (USD)")
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num_days = gr.Slider(minimum=1, maximum=14, value=3, step=1, label="Number of Days")
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holiday_type = gr.Dropdown(
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choices=list(COST_FACTORS["local_transport_per_day"].keys()),
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label="Type of Holiday",
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value="Cultural & Sightseeing"
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)
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with gr.Accordion("Advanced Settings", open=False):
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system_message = gr.Textbox(
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value="You are an experienced travel planner. Provide detailed itineraries that strictly adhere to the given budget constraints and cost breakdown.",
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label="System Message",
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lines=3
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)
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top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p")
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with gr.Row():
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generate_button = gr.Button("Generate Itinerary", variant="primary")
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output = gr.Textbox(label="Your Custom Itinerary", lines=20, show_copy_button=True)
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generate_button.click(
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fn=generate_itinerary,
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