# requirements: requests, beautifulsoup4, readability-lxml
import requests
from readability import Documentdef extract_text_from_url(url: str) -> (str, str):"""從URL提取文章標題和純文本內容"""try:response = requests.get(url, headers={'User-Agent': 'Mozilla/5.0'})response.raise_for_status()doc = Document(response.content)title = doc.title()content_html = doc.summary()# 使用BeautifulSoup從HTML中提取純文本from bs4 import BeautifulSoupsoup = BeautifulSoup(content_html, 'lxml')content_text = soup.get_text(separator='\n', strip=True)return title, content_textexcept requests.RequestException as e:print(f"Error fetching URL {url}: {e}")return None, None# # 示例
# url = "一篇公開的飛書文檔或博客文章鏈接"
# title, text = extract_text_from_url(url)
# if text:
#     print(f"Title: {title}")
#     print(f"Content length: {len(text)}")

# 角色
你是一位專業的視頻腳本編劇和課程設計師。# 任務
我將提供一段長文本，請你將其改編成一個結構化的視頻講解腳本。腳本應該被分解為多個“幻燈片”(slides)。# 輸入文本
"""
{{long_text}}
"""# 輸出要求
請嚴格按照以下JSON格式輸出，不要有任何額外解釋。每一張幻燈片包含一個標題(title)和要講解的核心內容(content)，內容應簡潔明了，適合口語化講解。
[{"slide_number": 1,"title": "幻燈片1的標題","content": "這是第一張幻燈片要講解的具體內容..."},{"slide_number": 2,"title": "幻燈片2的標題","content": "這是第二張幻燈片要講解的具體內容..."},// ... 更多幻燈片
]

# 假設使用一個TTS庫或API
def generate_audio_for_slide(slide_text: str, output_path: str):# 此處為調用具體TTS服務的代碼，例如：# response = openai.audio.speech.create(#     model="tts-1",#     voice="alloy",#     input=slide_text# )# response.stream_to_file(output_path)print(f"Generated audio at: {output_path}")# 注意：實際應用中需要處理API調用、認證和錯誤pass

# requirements: Pillow
from PIL import Image, ImageDraw, ImageFontdef create_slide_image(title: str, content: str, output_path: str, width=1920, height=1080):"""使用Pillow創建一張包含標題和內容的簡單幻燈片圖片"""img = Image.new('RGB', (width, height), color = (25, 25, 112)) # 深藍色背景draw = ImageDraw.Draw(img)# 簡化處理，實際應用中字體路徑和大小需要更精細的控制try:title_font = ImageFont.truetype("msyh.ttc", 80) # 微軟雅黑content_font = ImageFont.truetype("msyh.ttc", 50)except IOError:title_font = ImageFont.load_default()content_font = ImageFont.load_default()# 繪制標題draw.text((width/2, height*0.2), title, font=title_font, fill=(255, 255, 255), anchor="ms")# 繪制內容 (簡化處理，未做自動換行)draw.text((width/2, height*0.4), content, font=content_font, fill=(255, 255, 255), anchor="ma")img.save(output_path)print(f"Generated image at: {output_path}")

# requirements: moviepy
from moviepy.editor import ImageClip, AudioFileClip, concatenate_videoclipsdef synthesize_video(slides_data: list, audio_paths: list, image_paths: list, output_path: str):"""將圖片序列和音頻序列合成為視頻:param slides_data: 包含腳本信息的列表:param audio_paths: 每個slide對應音頻文件的路徑列表:param image_paths: 每個slide對應圖片文件的路徑列表:param output_path: 最終視頻的輸出路徑"""clips = []for i, slide in enumerate(slides_data):try:audio_clip = AudioFileClip(audio_paths[i])# 視頻片段的長度由音頻的長度決定image_clip = ImageClip(image_paths[i]).set_duration(audio_clip.duration)# 將音頻附加到視頻片段上video_clip = image_clip.set_audio(audio_clip)clips.append(video_clip)except Exception as e:print(f"Error processing slide {i+1}: {e}")continueif not clips:print("No valid clips to concatenate.")returnfinal_video = concatenate_videoclips(clips, method="compose")final_video.write_videofile(output_path, fps=24, codec="libx264")print(f"Final video saved to: {output_path}")