Update app.py

app.py

@@ -1,54 +1,284 @@
-# app.py
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
 import gradio as gr
-from split_video import split_video
 import os
-import subprocess
-import sys
+import tempfile
+import json
+import random
+from datetime import datetime
+from pathlib import Path
 
-def process_video(input_video, segment_duration, enable_mix=False):
-    if not input_video:
-        return []  # 返回空列表，避免無效輸入
-    try:
-        # 步驟 1: 切割長影片
-        output_dir = "temp_segments"
-        outputs = split_video(input_video, output_dir, int(segment_duration))
-        print(f"切割完成：生成 {len(outputs)} 個短片")  # 改用 print
-    except Exception as e:
-        print(f"切割錯誤：{str(e)}")  # 改用 print
-        return []  # 返回空列表，防止錯誤訊息被誤解析
-    
-    # 步驟 2: 可選混剪（使用 pyToVideo2 的 main.py）
-    if enable_mix:
+# AI 和视频处理导入
+try:
+    from openai import OpenAI
+    client = OpenAI(api_key=os.getenv("OPENAI_API_KEY")) if os.getenv("OPENAI_API_KEY") else None
+    OPENAI_AVAILABLE = bool(client)
+except ImportError:
+    OPENAI_AVAILABLE = False
+    client = None
+
+# 视频处理导入
+try:
+    from moviepy.editor import VideoFileClip, concatenate_videoclips, AudioFileClip, vfx
+    MOVIEPY_AVAILABLE = True
+except ImportError:
+    MOVIEPY_AVAILABLE = False
+    print("⚠️ MoviePy 不可用，将使用模拟模式")
+
+# YouTube 上传导入
+try:
+    from googleapiclient.discovery import build
+    from googleapiclient.http import MediaFileUpload
+    from google_auth_oauthlib.flow import InstalledAppFlow
+    from google.auth.transport.requests import Request
+    import pickle
+    YOUTUBE_AVAILABLE = True
+except ImportError:
+    YOUTUBE_AVAILABLE = False
+
+# 全局配置
+MAX_VIDEO_SIZE = 100 * 1024 * 1024  # 100MB
+MAX_AUDIO_SIZE = 50 * 1024 * 1024   # 50MB
+MAX_TOTAL_SIZE = 500 * 1024 * 1024  # 500MB
+
+class YouTubeUploader:
+    """YouTube 上传工具类"""
+    
+    def __init__(self):
+        self.SCOPES = ['https://www.googleapis.com/auth/youtube.upload']
+        self.youtube = None
+        self.authenticated = False
+    
+    def setup_credentials(self, client_secrets_content):
+        """设置 Google Cloud 凭据"""
         try:
-            cmd = [
-                sys.executable, "main.py",
-                "--input_folder", output_dir,
-                "--output_folder", "mixed_output",
-                "--num_clips", "20"
-            ]
-            result = subprocess.run(cmd, capture_output=True, text=True)
-            if result.returncode != 0:
-                print(f"混剪警告：{result.stderr}")  # 改用 print
-            else:
-                mixed_files = [os.path.join("mixed_output", f) for f in os.listdir("mixed_output") if f.endswith(".mp4")]
-                outputs.extend(mixed_files)
-                print("混剪完成")  # 改用 print
+            # 使用你已有的凭据
+            credentials_data = {
+                "installed": {
+                    "client_id": "288005932157-k7dhq8c7rgmt8km0nm50ntuif9lse7j1.apps.googleusercontent.com",
+                    "project_id": "corded-palisade-458105-p7", 
+                    "auth_uri": "https://accounts.google.com/o/oauth2/auth",
+                    "token_uri": "https://oauth2.googleapis.com/token",
+                    "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
+                    "client_secret": "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",
+                    "redirect_uris": ["http://localhost"]
+                }
+            }
+            
+            # 保存到临时文件
+            temp_file = tempfile.NamedTemporaryFile(mode='w', suffix='.json', delete=False)
+            json.dump(credentials_data, temp_file)
+            temp_file.close()
+            
+            return temp_file.name
         except Exception as e:
-            print(f"混剪錯誤：{str(e)}")  # 改用 print
-    
-    return outputs if outputs else []  # 確保返回檔案路徑列表或空列表
-
-iface = gr.Interface(
-    fn=process_video,
-    inputs=[
-        gr.File(label="上傳長影片 (MP4)"),
-        gr.Number(label="每段長度 (秒)", value=60),
-        gr.Checkbox(label="啟用 pyToVideo2 混剪", value=False)
-    ],
-    outputs=gr.Files(label="下載短影片 / 混剪結果"),
-    title="pyToVideo2 影片切割與混剪",
-    description="上傳長影片切割成短片（使用 FFmpeg），並可選使用 pyToVideo2 混剪成 20 個新影片。"
-)
+            return None
+    
+    def generate_upload_script(self, video_titles):
+        """生成 YouTube 上传脚本"""
+        
+        script_template = f'''#!/usr/bin/env python3
+"""
+pyTovideo2 YouTube 自动上传脚本
+使用说明：
+1. pip install google-api-python-client google-auth-oauthlib
+2. 将此脚本与你的视频文件放在同一目录
+3. 运行：python youtube_upload_script.py
+"""
+
+import os
+import pickle
+import json
+from googleapiclient.discovery import build
+from googleapiclient.http import MediaFileUpload
+from google_auth_oauthlib.flow import InstalledAppFlow
+from google.auth.transport.requests import Request
+
+# Google Cloud 凭据（已配置好）
+CLIENT_SECRETS = {{
+    "installed": {{
+        "client_id": "288005932157-k7dhq8c7rgmt8km0nm50ntuif9lse7j1.apps.googleusercontent.com",
+        "project_id": "corded-palisade-458105-p7",
+        "auth_uri": "https://accounts.google.com/o/oauth2/auth", 
+        "token_uri": "https://oauth2.googleapis.com/token",
+        "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
+        "client_secret": "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",
+        "redirect_uris": ["http://localhost"]
+    }}
+}}
+
+class YouTubeUploader:
+    def __init__(self):
+        self.SCOPES = ['https://www.googleapis.com/auth/youtube.upload']
+        self.youtube = None
+        
+        # 保存凭据文件
+        with open('client_secrets.json', 'w') as f:
+            json.dump(CLIENT_SECRETS, f)
+    
+    def authenticate(self):
+        """认证 YouTube API"""
+        credentials = None
+        
+        if os.path.exists('youtube_token.pickle'):
+            with open('youtube_token.pickle', 'rb') as token:
+                credentials = pickle.load(token)
+        
+        if not credentials or not credentials.valid:
+            if credentials and credentials.expired and credentials.refresh_token:
+                credentials.refresh(Request())
+            else:
+                flow = InstalledAppFlow.from_client_secrets_file(
+                    'client_secrets.json', self.SCOPES)
+                credentials = flow.run_local_server(port=0)
+            
+            with open('youtube_token.pickle', 'wb') as token:
+                pickle.dump(credentials, token)
+        
+        self.youtube = build('youtube', 'v3', credentials=credentials)
+        return True
+    
+    def upload_video(self, video_path, title, description="", tags="", privacy="private"):
+        """上传视频到 YouTube"""
+        body = {{
+            'snippet': {{
+                'title': title,
+                'description': description,
+                'tags': tags.split(',') if tags else [],
+                'categoryId': '22'
+            }},
+            'status': {{
+                'privacyStatus': privacy
+            }}
+        }}
+        
+        media = MediaFileUpload(video_path, resumable=True)
+        request = self.youtube.videos().insert(
+            part=','.join(body.keys()),
+            body=body,
+            media_body=media
+        )
+        
+        response = request.execute()
+        return f"https://www.youtube.com/watch?v={{response['id']}}"
+
+def main():
+    """主程序"""
+    print("🎬 pyTovideo2 YouTube 上传工具")
+    print("=" * 40)
+    
+    uploader = YouTubeUploader()
+    
+    if not uploader.authenticate():
+        print("❌ 认证失败")
+        return
+    
+    print("✅ YouTube 认证成功！")
+    
+    # 要上传的视频列表
+    videos_info = ['''
+        
+        for i, title in enumerate(video_titles, 1):
+            script_template += f'''
+        {{
+            "file": "混剪视频_{i:02d}.mp4",
+            "title": "{title}",
+            "description": """🎬 使用 pyTovideo2 制作的精彩混剪视频
+
+✨ 制作特色：
+• 智能视频切片处理
+• 音乐节拍完美同步
+• 创意片段随机组合  
+• 镜像翻转防重复检测
+
+💡 工具优势：
+• 批量处理高效率
+• 支持多种视频格式
+• 一键生成多个版本
+• 完美适配各大平台
+
+👍 如果喜欢请：
+• 点赞支持这个项目
+• 订阅获取更多内容
+• 分享给感兴趣的朋友
+• 评论交流制作心得
+
+🔗 项目开源地址: https://github.com/BassZou/pyToVideo2
+
+#短视频 #混剪 #Python #自动化 #pyTovideo2 #视频制作""",
+            "tags": "短视频,混剪,Python,自动化,pyTovideo2,视频制作,内容创作",
+            "privacy": "private"  # private, unlisted, public
+        }},'''
+        
+        script_template += f'''
+    ]
+    
+    # 批量上传
+    print(f"🚀 开始批量上传 {{len(videos_info)}} 个视频...")
+    
+    for i, video_info in enumerate(videos_info, 1):
+        if os.path.exists(video_info['file']):
+            print(f"\\n--- 上传第 {{i}}/{{len(videos_info)}} 个视频 ---")
+            print(f"📹 文件: {{video_info['file']}}")
+            
+            try:
+                url = uploader.upload_video(
+                    video_path=video_info['file'],
+                    title=video_info['title'],
+                    description=video_info['description'],
+                    tags=video_info['tags'],
+                    privacy=video_info['privacy']
+                )
+                print(f"✅ 上传成功: {{url}}")
+            except Exception as e:
+                print(f"❌ 上传失败: {{e}}")
+        else:
+            print(f"❌ 文件不存在: {{video_info['file']}}")
+    
+    print("\\n🎉 批量上���完成！")
 
 if __name__ == "__main__":
-    iface.launch()
+    main()
+'''
+        
+        return script_template
+
+def generate_ai_analysis(video_count, file_names):
+    """使用 AI 生成视频分析"""
+    if not OPENAI_AVAILABLE:
+        return f"""
+📊 **视频分析报告**（基于文件信息）
+
+📹 **内容预测**：
+根据上传的 {video_count} 个视频文件，预测内容类型：
+• 生活记录类：适合温馨背景音乐
+• 技能展示类：适合节奏感强的音乐
+• 风景旅行类：适合轻松舒缓音乐
+• 娱乐搞笑类：适合活泼欢快音乐
+
+🎵 **音乐建议**：
+• 节拍：120-140 BPM 最适合短视频
+• 风格：流行、电子、轻音乐
+• 时长：与最终视频长度匹配
+
+✂️ **剪辑策略**：
+• 快切：适合动感内容，2-3秒一切
+• 慢节奏：适合情感内容，4-5秒一切
+• 混合节奏：根据音乐变化调整
+
+🎯 **平台优化**：
+• 抖音：竖屏 9:16，15-60秒
+• 小红书：方形 1:1，15-90秒  
+• YouTube：横屏 16:9，3-10分钟
+        """
+    
+    try:
+        file_info = ", ".join([f"'{name}'" for name in file_names[:3]])  # 只取前3个文件名
+        
+        prompt = f"""作为专业视频分析师，基于用户上传的 {video_count} 个视频文件（文件名包括：{file_info}等），请提供详细分析：
+
+1. 📹 内容类型推测和特点分析
+2. 🎵 最佳背景音乐风格和节拍建议
+3. ✂️ 推荐的剪辑策略和转场效果
+4. 🎯 目标受