app.py

import os
import gradio as gr
from dotenv import load_dotenv

from crewai import Agent, Task, Crew

# Firecrawl tool (from crewai tools package)
from crewai_tools import FirecrawlSearchTool


# -----------------------------
# Load environment variables
# -----------------------------
load_dotenv()  # reads local .env (HF Spaces uses Secrets as env vars)

OPENAI_API_KEY = os.getenv("OPENAI_API_KEY", "").strip()
FIRECRAWL_API_KEY = os.getenv("FIRECRAWL_API_KEY", "").strip()


def _validate_env():
    missing = []
    if not OPENAI_API_KEY:
        missing.append("OPENAI_API_KEY")
    if not FIRECRAWL_API_KEY:
        missing.append("FIRECRAWL_API_KEY")
    if missing:
        return (
            "❌ Missing environment variables: "
            + ", ".join(missing)
            + "\n\n"
            "On Hugging Face Spaces:\n"
            "Space → Settings → Secrets → add them as:\n"
            "- OPENAI_API_KEY\n"
            "- FIRECRAWL_API_KEY\n"
        )
    return None


# -----------------------------
# Build CrewAI setup
# -----------------------------
def build_crew():
    """

    Builds tools, agents, tasks, and the crew.

    """
    # Tool
    travel_search_tool = FirecrawlSearchTool(api_key=FIRECRAWL_API_KEY)

    # Agents
    flights_agent = Agent(
        role="Flight Search Specialist",
        goal="Find round-trip flight options that balance price, duration, and convenience.",
        backstory="Expert in comparing flights across airlines, booking sites, and schedules.",
        tools=[travel_search_tool],
        allow_delegation=False,
    )

    hotels_agent = Agent(
        role="Hotel Research Specialist",
        goal="Find good hotel options near destination city center, balancing price, reviews, and amenities.",
        backstory="Knows how to compare hotels on different sites and summarize top picks.",
        tools=[travel_search_tool],
        allow_delegation=False,
    )

    info_agent = Agent(
        role="Destination Info Specialist",
        goal="Collect useful information about attractions, safety tips, and transport options in the destination.",
        backstory="Experienced in giving local insights to travelers, focusing on practical tips.",
        tools=[travel_search_tool],
        allow_delegation=False,
    )

    consultant_agent = Agent(
        role="Travel Consultant",
        goal="Summarize all findings (flights, hotels, destination info) into a final travel plan.",
        backstory="Expert travel planner who creates easy-to-follow itineraries.",
        allow_delegation=False,
    )

    # Tasks
    search_flights = Task(
        description=(
            "Search for round-trip flights from {origin} to {destination}, departing around {departure_date} "
            "and returning around {return_date}, within budget {budget}."
        ),
        expected_output="""

Top 3 round-trip flight options:

1) Airline/Provider: ..., Route: ..., Depart/Arrive: ..., Return: ..., Total duration: ..., Stops: ..., Price: ...

2) ...

3) ...

""",
        agent=flights_agent,
    )

    search_hotels = Task(
        description=(
            "Find 3-4 hotel options in {destination}, near city center, within nightly budget {hotel_budget}. "
            "Include hotel name, location, rating, and price per night."
        ),
        expected_output="""

Top hotel options:

1) Name: ..., Area: ..., Rating: ..., Price/night: ..., Why it’s good: ...

2) ...

3) ...

4) ...

""",
        agent=hotels_agent,
    )

    get_destination_info = Task(
        description=(
            "Gather key travel info for {destination}: top attractions, safety advice, and transport options "
            "from airport to city center."
        ),
        expected_output="""

Destination info:

- Attractions: ...

- Safety: ...

- Transport (airport -> city): ...

- Local tips: ...

""",
        agent=info_agent,
    )

    create_summary = Task(
        description="Summarize the results from flights, hotels, and destination info into a structured final travel plan.",
        expected_output="""

Final Travel Plan:



✈️ Flights:

- ...



🏨 Hotels:

- ...



📍 Destination Tips:

- ...

""",
        agent=consultant_agent,
    )

    crew = Crew(
        agents=[flights_agent, hotels_agent, info_agent, consultant_agent],
        tasks=[search_flights, search_hotels, get_destination_info, create_summary],
        verbose=True,
    )

    return crew


def run_travel_planner(origin, destination, departure_date, return_date, trip_budget, hotel_budget):
    env_error = _validate_env()
    if env_error:
        return env_error

    # Some light cleanup
    origin = (origin or "").strip()
    destination = (destination or "").strip()
    departure_date = (departure_date or "").strip()
    return_date = (return_date or "").strip()
    trip_budget = (trip_budget or "").strip()
    hotel_budget = (hotel_budget or "").strip()

    if not all([origin, destination, departure_date, return_date, trip_budget, hotel_budget]):
        return "❗ Please fill in all fields before running."

    try:
        crew = build_crew()
        result = crew.kickoff(
            inputs={
                "origin": origin,
                "destination": destination,
                "departure_date": departure_date,
                "return_date": return_date,
                "budget": trip_budget,
                "hotel_budget": hotel_budget,
            }
        )
        # CrewAI may return a string or richer object; stringify safely
        return str(result)

    except Exception as e:
        return f"❌ Error while running the crew:\n{type(e).__name__}: {e}"


# -----------------------------
# Gradio UI
# -----------------------------
with gr.Blocks(title="CrewAI Multi-Agent Travel Planner") as demo:
    gr.Markdown(
        "# ✈️🏨 CrewAI Multi-Agent Travel Planner\n"
        "Enter your trip details and run the multi-agent workflow (Flights + Hotels + Destination Info → Final Plan)."
    )

    with gr.Row():
        origin = gr.Textbox(label="Origin", value="Singapore")
        destination = gr.Textbox(label="Destination", value="Tokyo")

    with gr.Row():
        departure_date = gr.Textbox(label="Departure Date", value="Mar 15th, 2026")
        return_date = gr.Textbox(label="Return Date", value="Mar 30th, 2026")

    with gr.Row():
        trip_budget = gr.Textbox(label="Trip Budget (total flights budget)", value="$2000")
        hotel_budget = gr.Textbox(label="Hotel Budget (per night)", value="$150")

    run_btn = gr.Button("Run Multi-Agent Planner", variant="primary")
    output = gr.Textbox(label="Result", lines=22)

    run_btn.click(
        fn=run_travel_planner,
        inputs=[origin, destination, departure_date, return_date, trip_budget, hotel_budget],
        outputs=[output],
    )

    gr.Markdown(
        "### 🔐 Secrets needed on Hugging Face\n"
        "- `OPENAI_API_KEY`\n"
        "- `FIRECRAWL_API_KEY`\n"
    )

if __name__ == "__main__":
    demo.launch()