app.py

import gradio as gr
import openai
import os
import pandas as pd


openai.api_key = os.getenv("OPENAI_API_KEY")


def generate_itinerary(prompt):
    system_prompt = (
        "You are a helpful travel assistant. Given a short travel request, "
        "generate a detailed day-by-day itinerary in a clear format.\n\n"
        "Requirements:\n"
        "- Break down the trip by days (Day 1, Day 2, etc.)\n"
        "- Include morning, afternoon, and evening suggestions\n"
        "- Be specific but concise\n"
        "- Focus on the traveler's stated interests\n"
    )

    user_prompt = f"Prompt: {prompt}\nItinerary:\n"

    try:
        response = openai.chat.completions.create(
            model="gpt-4",
            messages=[
                {"role": "system", "content": system_prompt},
                {"role": "user", "content": user_prompt}
            ],
            temperature=0.7,
            max_tokens=700,
        )
        content = response.choices[0].message.content.strip()
        # Convert newlines to <br> for proper table formatting
        return content.replace("\n", "<br>")
    except Exception as e:
        return f"Error: {e}"


def batch_generate_itineraries(multi_prompt):
    lines = [line.strip() for line in multi_prompt.splitlines() if line.strip()]
    results = []
    for req in lines:
        itinerary = generate_itinerary(req)
        results.append((req, itinerary))
    return results  # Returns list of (request, itinerary) tuples


iface = gr.Interface(
    fn=batch_generate_itineraries,
    inputs=gr.Textbox(
        lines=10,
        placeholder="Enter one travel request per line\nExample:\n3-day trip to Rome focused on history and food",
        label="Multiple Travel Requests"
    ),
    outputs=gr.Dataframe(
        headers=["Request", "Generated Itinerary"],
        datatype=["str", "html"],
        label="Itineraries Table"
    ),
    title="🧳 Batch Travel Itinerary Generator",
    description="Paste multiple travel requests (one per line). Get structured GPT-4 itineraries in a table."
)

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