app.py

import spacy.cli
spacy.cli.download("en_core_web_sm")
import os
import gradio as gr
from groq import Groq
from reportlab.pdfgen import canvas
from reportlab.lib.pagesizes import letter
import tempfile
import re
from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer
from reportlab.lib.styles import getSampleStyleSheet
from reportlab.lib.pagesizes import letter
import spacy
from geopy.geocoders import Nominatim
import folium
import time
import traceback
from reportlab.pdfbase import pdfmetrics
from reportlab.pdfbase.ttfonts import TTFont


# Load API key 
GR_API_KEY = os.getenv("GR_API_KEY")
client = Groq(api_key=GR_API_KEY)

MOODS = [
    "Adventure",
    "Relaxing",
    "Romantic",
    "Cultural & Heritage",
    "Foodie & Culinary",
    "Shopping & Urban",
    "Beach & Island",
    "Any"
]

MOOD_IMAGES = {
    "Adventure": "images/adventure.png",
    "Relaxing": "images/relaxing.png",
    "Romantic": "images/romantic.png",
    "Cultural & Heritage": "images/cultural.png",
    "Foodie & Culinary": "images/foodie.png",
    "Shopping & Urban": "images/shopping.png",
    "Beach & Island": "images/beach.png",
    "Any": "images/default.png"
}

nlp = spacy.load("en_core_web_sm")

def clean_place_name(name):
    return re.sub(r'^(the|a|an)\s+', '', name, flags=re.IGNORECASE).strip()

def extract_places_and_map(itinerary_text, city_context=None):
    pattern = r"(visit|explore|trip to|at|go to|see)\s+([A-Z][A-Za-zÀ-ÖØ-öø-ÿ'’\- ]+)"
    matches = re.findall(pattern, itinerary_text, re.IGNORECASE)
    rule_places = [m[1].strip() for m in matches]

    doc = nlp(itinerary_text)
    ner_places = [ent.text for ent in doc.ents if ent.label_ in ["GPE", "LOC", "FAC"]]

    places = list(set(rule_places + ner_places))

    geolocator = Nominatim(user_agent="feelaway_app")
    locations = []
    for place in places:
        try:
            query = f"{place}, {city_context}" if city_context else place
            loc = geolocator.geocode(query, language='en', timeout=10)
            if loc:
                locations.append((place, loc.latitude, loc.longitude))
        except Exception:
            continue

    if not locations:
        return "<p>No locations found for mapping.</p>"

    m = folium.Map(location=[locations[0][1], locations[0][2]], zoom_start=10)
    for name, lat, lon in locations:
        folium.Marker([lat, lon], popup=name).add_to(m)

    return m._repr_html_()

def generate_itinerary(mood, location, budget, days):
    mood_text = "any mood" if mood == "Any" else mood
    budget_text = "any budget" if budget == "Any" else budget
    location_text = location if location.strip() != "" else "any destination"
    
    # 🧠 AI prompt
    prompt = (
        f"Create a detailed {days}-day travel itinerary for {location_text}. "
        f"The traveler’s mood is {mood_text}, with a {budget_text} budget. "
        f"Include daily activities, key landmarks, and meal or cultural suggestions. "
        f"Use Markdown formatting with **bold headings** for days and time slots."
    )

    try:
        print(f"🔍 Calling Groq API for itinerary: {location_text}")

        # Generate itinerary
        response = client.chat.completions.create(
            messages=[
                {"role": "system", "content": "You are an expert travel planner."},
                {"role": "user", "content": prompt}
            ],
            model="openai/gpt-oss-20b",
            temperature=0.8,
            max_tokens=2800,
            top_p=1
        )

        itinerary_text = response.choices[0].message.content

        # Get general season/weather info
        season_text = get_best_season(location_text)

        # 📍 Map and image
        image_path = os.path.abspath(MOOD_IMAGES.get(mood, MOOD_IMAGES["Any"]))
        map_html = extract_places_and_map(itinerary_text, city_context=location_text if location_text.lower() != "any destination" else None)

        # 🧾 Combine output
        combined_output = f"### {season_text}\n\n{itinerary_text}"
        return combined_output, image_path, map_html

    except Exception as e:
        print("⚠️ Error while generating itinerary:\n", e)
        return "🌤️ Unable to generate itinerary at this time.", None, None

def get_best_season(location):
    location_clean = location.strip()
    if not location_clean or location_clean.lower() == "any destination":
        return "🌤️ Best season info is available for specific locations only."
    
    prompt = (
        f"You are a travel expert. Suggest the best season or months to visit {location_clean}, "
        f"considering weather, tourist crowds, and local events. Keep it 1-2 sentences."
    )

    try:
        response = client.chat.completions.create(
            messages=[
                {"role": "system", "content": "You are a travel expert."},
                {"role": "user", "content": prompt}
            ],
            model="openai/gpt-oss-20b",
            temperature=0.7,
            max_tokens=250,
            top_p=1
        )

        season_text = (
            getattr(response.choices[0].message, "content", "")
            or getattr(response.choices[0], "text", "")
        ).strip()

        if not season_text:
            # fallback if model returns nothing
            return SEASON_FALLBACK.get(location_clean, "🌤️ Season info not available right now.")
        return f"🌤️ {season_text}"

    except Exception as e:
        print("⚠️ Error while getting season:\n", e)
        return SEASON_FALLBACK.get(location_clean, "🌤️ Unable to determine the best season right now.")

def generate_pdf(itinerary_text):
    if not itinerary_text.strip():
        return None, gr.update(visible=False)

    # Unique file name for each download
    temp_dir = tempfile.gettempdir()
    temp_filename = f"feelaway_itinerary_{int(time.time())}.pdf"
    temp_path = os.path.join(temp_dir, temp_filename)

    # Create a clean PDF
    doc = SimpleDocTemplate(temp_path, pagesize=letter,
                            rightMargin=40, leftMargin=40,
                            topMargin=40, bottomMargin=40)
    pdfmetrics.registerFont(TTFont('DejaVu', '/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf'))

    styles = getSampleStyleSheet()
    style = styles["Normal"]
    style.fontName = "DejaVu"
    style.fontSize = 13
    style.leading = 18

    # Convert markdown bold to HTML bold
    html_text = re.sub(r'\*\*(.+?)\*\*', r'<b>\1</b>', itinerary_text)
    
    # ✅ Fix invalid <br> tags for ReportLab
    html_text = re.sub(r'<br\s*/?>', '<br/> ', html_text)
    
    # ✅ Handle markdown tables gracefully
    html_text = re.sub(r'\|[^\n]*\|', lambda m: m.group(0).replace('|', '  '), html_text)
    


    paragraphs = html_text.split('\n')
    story = []
    for para in paragraphs:
        p = Paragraph(para if para.strip() else ' ', style)
        story.append(p)
        story.append(Spacer(1, 6))

    doc.build(story)
    return temp_path, gr.update(visible=True)

# ---------------------- UI ----------------------
with gr.Blocks(theme=gr.themes.Default(primary_hue="teal", secondary_hue="teal")) as demo:
    
    header_html = """
    <style>
    @keyframes colorCycle {
        0% { color: #008080; }
        25% { color: #20b2aa; }
        50% { color: #40e0d0; }
        75% { color: #008080; }
        100% { color: #20b2aa; }
    }
    .color-cycle {
        animation: colorCycle 3s infinite;
        font-weight: 800;
        letter-spacing: 1.5px;
        text-transform: uppercase;
        text-shadow: 1px 1px 3px #a0d1d1;
    }
    .tagline {
        font-style: italic;
        color: #007777 !important;
        font-size: 20px;
        margin-top: 4px;
        height: 30px;
        white-space: nowrap;
        overflow: hidden;
        font-weight: 600;
        animation: pulseOpacity 2s infinite;
    }
    .equal-row {
        display: flex;
        gap: 16px;
    }
    .equal-row > div {
        flex: 1;
    }
    #map-container iframe,
    #image-container img {
        width: 100%;
        height: 500px;
        border-radius: 8px;
        object-fit: cover;
        display: block;
    }
    </style>
    <div style='text-align: center; margin-top: 30px; margin-bottom: 30px;'>
        <h1 class="color-cycle" style="font-size: 42px; margin: 0;">FEEL AWAY APP</h1>
        <p class="tagline" id="typing-text-main"></p>
    </div>
    <script>
    const tagline = "Your Mood, Your Journey – Personalized Itineraries, Instantly!";
    function typeWriter(elId) {
        let i = 0;
        let forward = true;
        const el = document.getElementById(elId);
        function typing() {
            if (forward) {
                if (i < tagline.length) {
                    el.innerHTML += tagline.charAt(i);
                    i++;
                } else {
                    forward = false;
                    setTimeout(typing, 2000);
                    return;
                }
            } else {
                if (i > 0) {
                    el.innerHTML = tagline.substring(0, i-1);
                    i--;
                } else {
                    forward = true;
                }
            }
            setTimeout(typing, 60);
        }
        typing();
    }
    window.onload = () => {
        typeWriter("typing-text-main");
    }
    </script>
    """

    with gr.Column(elem_id="main-content"):
        gr.HTML(header_html)

        with gr.Row():
            mood = gr.Dropdown(MOODS, label="Mood", value="Any")
            location = gr.Textbox(label="Destination", placeholder="e.g., India, Japan, France (leave blank for Any)")
        
        with gr.Row():
            budget = gr.Dropdown(["Low", "Medium", "High", "Any"], label="Budget", value="Any")
            days = gr.Slider(1, 10, value=5, step=1, label="Days")
        
        generate_btn = gr.Button("Generate Itinerary", variant="primary")

        with gr.Column():
            itinerary_output = gr.Markdown(label="Generated Itinerary")

            with gr.Row(elem_classes="equal-row"):
                with gr.Column(scale=1):
                    gr.HTML("<div id='image-container'>")
                    image_output = gr.Image(type="filepath", show_label=False)
                    gr.HTML("</div>")
                with gr.Column(scale=1):
                    gr.HTML("<div id='map-container'>")
                    map_output = gr.HTML(show_label=False)
                    gr.HTML("</div>")

        with gr.Column():
            download_btn = gr.Button("Download Itinerary as PDF", variant="secondary")
            pdf_file = gr.File(file_types=[".pdf"], visible=False)

    generate_btn.click(
        generate_itinerary,
        inputs=[mood, location, budget, days],
        outputs=[itinerary_output, image_output, map_output],
        show_progress=True
    )

    download_btn.click(
        generate_pdf,
        inputs=[itinerary_output],
        outputs=[pdf_file, pdf_file]
    )
print(get_best_season("France"))
demo.launch()