使用 Python 自動化簡報生成：2Slides API 教學

Python 是自動化、資料管線和 AI 工作流程的首選語言。本教學將展示如何從 Python 使用 2Slides REST API 自動生成簡報 — 從簡單的一次性投影片到複雜的自動化管線。

前置作業

pip install requests python-dotenv

建立一個

檔案：

TWOSLIDES_API_KEY=sk-2slides-your-api-key

快速入門：生成您的第一份簡報

import os
import time
import requests
from dotenv import load_dotenv

load_dotenv()

API_KEY = os.getenv('TWOSLIDES_API_KEY')
BASE_URL = 'https://2slides.com/api/v1'
HEADERS = {
    'Authorization': f'Bearer {API_KEY}',
    'Content-Type': 'application/json'
}

def generate_slides(topic, theme_id=None, mode='async'):
    """從文字主題生成簡報。"""
    payload = {
        'userInput': topic,
        'mode': mode,
        'responseLanguage': 'en',
        'resolution': '2K',
    }
    if theme_id:
        payload['themeId'] = theme_id

    response = requests.post(
        f'{BASE_URL}/slides/generate',
        headers=HEADERS,
        json=payload
    )
    response.raise_for_status()
    return response.json()

def wait_for_job(job_id, timeout=300, interval=3):
    """輪詢直到任務完成。"""
    start = time.time()
    while time.time() - start < timeout:
        response = requests.get(
            f'{BASE_URL}/jobs/{job_id}',
            headers=HEADERS
        )
        data = response.json()
        status = data.get('status')
        print(f'  任務 {job_id}: {status}')

        if status == 'success':
            return data
        if status == 'failed':
            raise Exception(f'任務失敗: {data}')

        time.sleep(interval)
    raise TimeoutError(f'任務 {job_id} 在 {timeout} 秒後逾時')

# 生成一份簡報
job = generate_slides('Top 10 AI Trends for 2026')
print(f'任務 ID: {job["jobId"]}')

result = wait_for_job(job['jobId'])
print(f'下載連結: {result["downloadUrl"]}')

將文件轉換為簡報

def convert_file_to_slides(file_url, prompt='', theme_id=None):
    """將 PDF、DOCX、XLSX 或其他檔案轉換為簡報。"""
    payload = {
        'fileUrl': file_url,
        'userInput': prompt,
        'mode': 'async'
    }
    if theme_id:
        payload['themeId'] = theme_id

    response = requests.post(
        f'{BASE_URL}/slides/create-pdf-slides',
        headers=HEADERS,
        json=payload
    )
    response.raise_for_status()
    job = response.json()
    return wait_for_job(job['jobId'])

# 轉換一份季度報告 PDF
result = convert_file_to_slides(
    file_url='https://your-storage.com/q1-report.pdf',
    prompt='Executive summary for the board, 10 slides max'
)
print(f'下載連結: {result["downloadUrl"]}')

設計風格匹配的簡報（以此為範本建立）

def create_like_this(topic, reference_image_url, resolution='2K'):
    """生成與參考設計匹配的簡報。"""
    payload = {
        'userInput': topic,
        'designStyle': {
            'global': {
                'referenceImageUrl': reference_image_url
            }
        },
        'resolution': resolution,
        'mode': 'async'
    }

    response = requests.post(
        f'{BASE_URL}/slides/create-like-this',
        headers=HEADERS,
        json=payload
    )
    response.raise_for_status()
    job = response.json()
    return wait_for_job(job['jobId'])

# 匹配您的品牌範本
result = create_like_this(
    topic='Monthly Team Update — March 2026',
    reference_image_url='https://your-brand.com/slide-template.png'
)

新增語音旁白

def add_narration(job_id, mode='single', voice='Charon', content_mode='concise'):
    """為現有簡報新增 AI 語音旁白。"""
    payload = {
        'jobId': job_id,
        'mode': mode,
        'voice': voice,
        'contentMode': content_mode
    }

    response = requests.post(
        f'{BASE_URL}/slides/generate-narration',
        headers=HEADERS,
        json=payload
    )
    response.raise_for_status()
    return response.json()

def download_with_audio(job_id):
    """下載包含語音音訊檔案的簡報。"""
    response = requests.post(
        f'{BASE_URL}/slides/download-slides-pages-voices',
        headers=HEADERS,
        json={'jobId': job_id}
    )
    response.raise_for_status()
    return response.json()

瀏覽主題

def search_themes(query=''):
    """搜尋可用的簡報主題。"""
    params = {'query': query} if query else {}
    response = requests.get(
        f'{BASE_URL}/themes',
        headers=HEADERS,
        params=params
    )
    response.raise_for_status()
    return response.json()

themes = search_themes('corporate')
for theme in themes.get('themes', []):
    print(f"{theme['id']}: {theme['name']}")

生產管線範例

"""
自動化週報管線。
透過 cron 執行：0 9 * * MON python weekly_report.py
"""

import json
from datetime import datetime

def weekly_report_pipeline():
    print(f'正在生成週報: {datetime.now().isoformat()}')

    # 1. 生成簡報
    job = generate_slides(
        topic='''Weekly Engineering Update — Week of March 23, 2026:
        - Deployed v2.4 to production (99.9% uptime)
        - 3 new API endpoints shipped
        - Performance: p99 latency down 40%
        - Sprint velocity: 42 story points (target: 40)
        - Next week: database migration, new auth system''',
        theme_id='corporate-standard-id'
    )

    result = wait_for_job(job['jobId'])
    print(f'簡報已準備就緒: {result["downloadUrl"]}')

    # 2. 新增旁白
    add_narration(job['jobId'], mode='single', voice='Kore')
    print('旁白已新增')

    # 3. 下載套件
    package = download_with_audio(job['jobId'])
    print(f'完整套件: {json.dumps(package, indent=2)}')

    return result['downloadUrl']

if __name__ == '__main__':
    url = weekly_report_pipeline()
    print(f'\n報告網址: {url}')

錯誤處理最佳實踐

from requests.exceptions import HTTPError, Timeout, ConnectionError

def safe_generate(topic, retries=3):
    """使用重試邏輯生成簡報。"""
    for attempt in range(retries):
        try:
            job = generate_slides(topic)
            return wait_for_job(job['jobId'])
        except HTTPError as e:
            if e.response.status_code == 429:
                wait = 2 ** attempt * 5  # 指數退避
                print(f'達到速率限制。等待 {wait} 秒...')
                time.sleep(wait)
            elif e.response.status_code == 402:
                raise Exception('點數不足')
            else:
                raise
        except (Timeout, ConnectionError) as e:
            print(f'網路錯誤 (嘗試 {attempt + 1}): {e}')
            time.sleep(5)
    raise Exception(f'在 {retries} 次重試後失敗')

常見問題

需要哪個 Python 版本？

Python 3.7+，以支援 f-strings 和

相容性。

我可以使用非同步 Python (asyncio/aiohttp) 嗎？

可以 — 將

替換為 以進行非同步 HTTP 呼叫。輪詢模式的工作方式相同。

如何處理大型批次任務？

使用 asyncio 同步執行多個生成任務，同時遵守速率限制（每分鐘 60 個請求）。

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開始自動化 — 取得您的 2Slides API 金鑰 並從 Python 生成簡報。