AI Media & Film Production with Chinese LLMs

# Screenplay scene generation with character development import requests script_request = { "genre": "Urban romance drama", "episode": "Pilot (45 minutes)", "scene": "Opening scene - meet-cute at Shanghai coffee shop", "characters": [ {"name": "Lin Yue", "age": 28, "trait": "Ambitious architect, workaholic, recently broke up"}, {"name": "Chen Wei", "age": 30, "trait": "Easy-going barista, secretly wealthy heir"} ], "tone": "Warm, slightly comedic, with underlying emotional depth", "setting": "Independent coffee shop in Former French Concession, rainy afternoon", "target_platform": "iQiyi, female audience 18-35", "scene_length": "5-7 minutes" } response = requests.post( "https://tokenease.io/v1/chat/completions", headers={"Authorization": "Bearer YOUR_TOKENEASE_API_KEY"}, json={ "model": "deepseek-v4", "messages": [ {"role": "system", "content": "You are a screenwriter AI. Write scenes with natural dialogue, character development, and visual descriptions. Format in standard screenplay format. Understand Chinese audience preferences."}, {"role": "user", "content": f"Write scene: {json.dumps(script_request, ensure_ascii=False)}"} ], "max_tokens": 2500 } ) print(response.json()["choices"][0]["message"]["content"])

# Subtitle generation and translation for video content import requests subtitle_job = { "video_title": "Shanghai Street Food Tour - Episode 12", "source_language": "Chinese (Mandarin)", "target_languages": ["English", "Japanese", "Korean"], "transcript": "大家好，今天我们来探索上海最有名的小笼包店。这家藏在弄堂里的老店已经开了三十年...", "context": "Food vlog, casual and enthusiastic tone, local slang used", "format": "SRT with timestamps" } response = requests.post( "https://tokenease.io/v1/chat/completions", headers={"Authorization": "Bearer YOUR_TOKENEASE_API_KEY"}, json={ "model": "glm-4", "messages": [ {"role": "system", "content": "You are a subtitle specialist AI. Generate accurate subtitles, translate while preserving tone and cultural references, and format for video platforms. Handle idioms appropriately."}, {"role": "user", "content": f"Generate subtitles: {json.dumps(subtitle_job, ensure_ascii=False)}"} ], "max_tokens": 2500 } ) print(response.json()["choices"][0]["message"]["content"])

# Video content moderation and compliance check import requests content_review = { "content_type": "User-uploaded short video", "title": "How I made 500K in one month trading stocks", "description": "Follow my strategy and you can do it too! DM me for my paid course. Guaranteed returns 30% monthly.", "comments_sample": [ "Is this legit?", "Just lost money using this guy's tips", "DM sent, waiting for course link" ], "platform_policies": [ "No financial advice without credentials", "No guaranteed return claims", "No promotion of paid services in description", "No misleading or fraudulent content" ], "regulatory_requirements": ["CSRC: unlicensed investment advice prohibited"] } response = requests.post( "https://tokenease.io/v1/chat/completions", headers={"Authorization": "Bearer YOUR_TOKENEASE_API_KEY"}, json={ "model": "qwen3-235b", "messages": [ {"role": "system", "content": "You are a content moderation AI. Analyze content against platform policies and regulations. Flag violations with specific policy references and severity levels. Recommend actions."}, {"role": "user", "content": f"Review content: {json.dumps(content_review, ensure_ascii=False)}"} ], "max_tokens": 2000 } ) print(response.json()["choices"][0]["message"]["content"])

# Pre-release content sentiment and performance prediction import requests content_analysis = { "title": "The Last Dynasty", "genre": "Historical drama", "synopsis": "A fictionalized account of political intrigue during the late Qing dynasty, focusing on a reformist official's tragic attempt to modernize China.", "social_media_buzz": { "mention_volume": "12,000 mentions in past 7 days", "positive_pct": 62, "negative_pct": 18, "neutral_pct": 20, "key_themes": [ "Historical accuracy concerns", "Praise for cinematography", "Debate over fictionalization of real figures" ] }, "competitive_landscape": [ {"film": "Qing Palace Secrets", "opening": "2 weeks earlier, 180M yuan"}, {"film": "Modern Romance", "opening": "same weekend, strong cast"} ], "target_demo": "25-45, urban, history enthusiasts" } response = requests.post( "https://tokenease.io/v1/chat/completions", headers={"Authorization": "Bearer YOUR_TOKENEASE_API_KEY"}, json={ "model": "deepseek-v4", "messages": [ {"role": "system", "content": "You are an audience intelligence AI. Analyze content and social sentiment to predict performance, identify risks, and recommend marketing positioning. Consider Chinese cultural sensitivities."}, {"role": "user", "content": f"Analyze content potential: {json.dumps(content_analysis, ensure_ascii=False)}"} ], "max_tokens": 2000 } ) print(response.json()["choices"][0]["message"]["content"])

# Video metadata generation for multiple platforms import requests video_data = { "content_summary": "A 15-minute documentary-style video about the dying art of traditional Suzhou embroidery. Features interviews with three master embroiderers in their 70s, showing the intricate needlework process, and discusses the challenge of finding young apprentices.", "key_moments": [ "Close-up of single-thread embroidery (extremely detailed)", "Master embroiderer crying when discussing no apprentices", "Young woman trying embroidery for first time" ], "target_platforms": ["Bilibili", "Douyin", "YouTube"], "audience": "Cultural enthusiasts, 18-35, interested in traditional crafts", "hashtag_strategy": "Mix of popular and niche tags for discoverability" } response = requests.post( "https://tokenease.io/v1/chat/completions", headers={"Authorization": "Bearer YOUR_TOKENEASE_API_KEY"}, json={ "model": "glm-4", "messages": [ {"role": "system", "content": "You are a video SEO specialist AI. Generate platform-optimized titles, descriptions, tags, and thumbnail concepts. Understand Chinese platform algorithms and user behavior. Maximize discoverability and CTR."}, {"role": "user", "content": f"Generate metadata: {json.dumps(video_data, ensure_ascii=False)}"} ], "max_tokens": 2500 } ) print(response.json()["choices"][0]["message"]["content"])

# Automated edit log generation from footage description import requests footage_data = { "project": "Documentary: China's High-Speed Rail", "shoot_day": "Day 3 - Beijing-Shanghai route", "clips": [ {"clip_id": "A001", "description": "Train departing Beijing South station at sunrise, aerial drone shot", "duration": "0:45"}, {"clip_id": "A002", "description": "Interview with chief engineer discussing speed record, medium close-up", "duration": "8:30"}, {"clip_id": "A003", "description": "Passenger using onboard WiFi, smartphone close-up, candid", "duration": "1:20"}, {"clip_id": "A004", "description": "Landscape passing by at 350km/h, window POV, mountains", "duration": "2:15"} ], "story_beats": ["Introduction to technology", "Human impact", "Engineering achievement"], "editor_notes": "Need B-roll of countryside, may use A004. Interview A002 has audio interference 3:20-4:10." } response = requests.post( "https://tokenease.io/v1/chat/completions", headers={"Authorization": "Bearer YOUR_TOKENEASE_API_KEY"}, json={ "model": "qwen3-235b", "messages": [ {"role": "system", "content": "You are a post-production AI. Generate organized edit logs, shot lists, and asset metadata. Suggest edit sequences and identify technical issues. Understand documentary workflow."}, {"role": "user", "content": f"Generate edit log: {json.dumps(footage_data, ensure_ascii=False)}"} ], "max_tokens": 2000 } ) print(response.json()["choices"][0]["message"]["content"])