app.py

from typing import TypedDict, Annotated, List, Union
from langchain_core.messages import HumanMessage, AIMessage
from langchain_core.prompts import ChatPromptTemplate
from langchain_groq import ChatGroq
import requests
import gradio as gr


class PlannerState(TypedDict):
    messages: Annotated[List[Union[HumanMessage, AIMessage]], "The messages in the conversation"]
    city: str
    interests: List[str]
    itinerary: str


# Initialize the LLM with better engagement
llm = ChatGroq(
    temperature=0.7,
    groq_api_key="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",
    model_name="llama-3.3-70b-versatile"
)

# Prompt for generating an itinerary
itinerary_prompt = ChatPromptTemplate.from_messages([
    ("system", "You are a smart travel agent who creates engaging, fun, and optimized day trip itineraries for {city}. \
     Tailor recommendations based on the user's interests: {interests}. \
     Include hidden gems, famous spots, and local cuisine. Keep it structured, with timestamps."),
    ("human", "Plan my perfect day trip!")
])

# Prompt for generating a fun fact
fun_fact_prompt = ChatPromptTemplate.from_messages([
    ("system", "You are a knowledgeable travel guide. Share an interesting and unique fun fact about {city} that most travelers don’t know."),
    ("human", "Tell me a fun fact about {city}!")
])


# Function to collect city input
def input_city(city: str, state: PlannerState) -> PlannerState:
    return {
        **state,
        "city": city,
        "messages": state["messages"] + [HumanMessage(content=f"City: {city}")]
    }


# Function to collect interests input
def input_interests(interests: str, state: PlannerState) -> PlannerState:
    interest_list = [interest.strip() for interest in interests.split(",")]
    return {
        **state,
        "interests": interest_list,
        "messages": state["messages"] + [HumanMessage(content=f"Interests: {', '.join(interest_list)}")]
    }


# Function to create the itinerary
def create_itinerary(state: PlannerState) -> str:
    response = llm.invoke(itinerary_prompt.format_messages(city=state["city"], interests=', '.join(state["interests"])))
    return response.content


# Function to fetch real-time weather data
def get_weather(city: str) -> str:
    api_key = "b787841c42e84b32b70235141251102"
    url = f"http://api.weatherapi.com/v1/current.json?key={api_key}&q={city}&aqi=no"
    try:
        response = requests.get(url)
        data = response.json()
        if "current" in data:
            weather_desc = data["current"]["condition"]["text"]
            temp = data["current"]["temp_c"]
            return f"Current weather in {city}: {weather_desc}, {temp}°C"
        else:
            return "Weather data unavailable."
    except:
        return "Error fetching weather."


# Function to generate a fun fact about the city
def fun_fact(city: str) -> str:
    response = llm.invoke(fun_fact_prompt.format_messages(city=city))
    return response.content


# Gradio function to generate travel plan
def travel_planner(city: str, interests: str):
    # Initialize state
    state = {
        "messages": [],
        "city": "",
        "interests": [],
        "itinerary": "",
    }

    # Update state with user inputs
    state = input_city(city, state)
    state = input_interests(interests, state)

    # Generate itinerary, weather, and fun fact
    itinerary = create_itinerary(state)
    weather = get_weather(city)
    fact = fun_fact(city)

    return itinerary, weather, fact


# Build the Gradio interface with enhanced UI
interface = gr.Interface(
    fn=travel_planner,
    inputs=[
        gr.Textbox(label="Enter the city for your trip", placeholder="e.g., Paris, Tokyo, New York"),
        gr.Textbox(label="Enter your interests (comma-separated)", placeholder="e.g., history, food, adventure"),
    ],
    outputs=[
        gr.Textbox(label="Generated Itinerary", interactive=False),
        gr.Textbox(label="Current Weather", interactive=False),
        gr.Textbox(label="Fun Fact", interactive=False)
    ],
    theme="soft",
    title="✈️ AI Travel Planner",
    description="Plan your next adventure! Get a custom itinerary, weather forecast, and a fun fact!",
    live=True,
)

# Launch the Gradio application
interface.launch()