travel_agent_ai.py

import gradio as gr
import openai
import requests
import json

api_key = "AIzaSyDdiDlKE0XRsJAxR3eNOZNjBUjoexEuXLg"
openai.api_key = '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'

def find_place(input_text):
    url = f"https://maps.googleapis.com/maps/api/place/findplacefromtext/json?input={input_text}&inputtype=textquery&fields=formatted_address,name,rating,opening_hours,geometry&key={api_key}"
    response = requests.get(url)
    data = json.loads(response.text)
    return data

def get_map_and_places(start_location, end_location, mode):
    # 使用 Google Maps Directions API 來取得路線資訊
    response = requests.get(f"https://maps.googleapis.com/maps/api/directions/json?origin={start_location}&destination={end_location}&mode={mode}&key={api_key}")
    data = response.json()

    # 取得路線上的所有步驟
    steps = data["routes"][0]["legs"][0]["steps"]

    # 對於終點，使用 find_place 函數來取得詳細資訊
    destination_info = find_place(end_location)

    # 建立一個 HTML 字串來顯示地圖和路線
    map_html = f"""
    <iframe
        width="600"
        height="450"
        style="border:0"
        loading="lazy"
        allowfullscreen
        src="https://www.google.com/maps/embed/v1/directions?key={api_key}&origin={start_location}&destination={end_location}&mode={mode}">
    </iframe>
    """

    # 執行 OpenAI API 請求並取得回應
    response = openai.ChatCompletion.create( 
      model="gpt-3.5-turbo",
      messages=[
            {"role": "system", "content": "你現在是資深旅行社導遊，必須以導遊的口吻，幽默的介紹行程以及景點的資訊，並提醒我當地注意事項"},
            {"role": "user", "content": f"請根據我的地圖資料，告訴我行程規劃，行程規劃裡需要包含所需時間，推薦的沿路景點以及我的目的地資訊。地圖資料：```路線資料:{steps}```;```目的地:{destination_info}```"},
            {"role": "assistant", "content": "身為您的在地導遊，建議您："},
        ]
    )

    # 提取 OpenAI 回應中的內容
    answer = response['choices'][0]['message']['content']

    # 回傳 HTML 字串、景點詳細資訊和 OpenAI 的回應
    return map_html, answer

# 建立 Gradio 介面
iface = gr.Interface(
    fn=get_map_and_places,
    inputs=[
        "text",
        "text",
        gr.inputs.Dropdown(choices=["driving", "walking", "bicycling", "transit"], label="Mode of Transportation")
    ],
    outputs=["html", "text"]
)
iface.launch()