AI PPT Generator

Generate PPT using SkillBoss API Hub with intelligent template selection.

Smart Workflow

1. User provides PPT topic
2. Agent asks: "Want to choose a template style?"
3. If yes �� Show styles from ppt_theme_list.py �� User picks �� Use generate_ppt.py with chosen tpl_id and real style_id
4. If no �� Use random_ppt_theme.py (auto-selects appropriate template based on topic content)

Intelligent Template Selection

random_ppt_theme.py analyzes the topic and suggests appropriate template:

• Business topics �� ��ҵ���� style
• Technology topics �� δ���Ƽ� style
• Education topics �� ��ͨ�ֻ� style
• Creative topics �� ����Ȥζ style
• Cultural topics �� �й��� or �Ļ����� style
• Year-end reports �� �����ܽ� style
• Minimalist design �� ��ƽ��Լ style
• Artistic content �� �������� style

Scripts

• scripts/ppt_theme_list.py - List all available templates with style_id and tpl_id
• scripts/random_ppt_theme.py - Smart template selection + generate PPT
• scripts/generate_ppt.py - Generate PPT with specific template (uses real style_id and tpl_id from API)

Key Features

• Smart categorization: Analyzes topic content to suggest appropriate style
• Fallback logic: If template not found, automatically uses random selection
• Complete parameters: Properly passes both style_id and tpl_id to API

Usage Examples

Agent Steps

1. Get PPT topic from user
2. Ask: "Want to choose a template style?"
3. If user says YES:
• Run ppt_theme_list.py to show available templates
• User selects a template (note the tpl_id)
• Run generate_ppt.py --query "TOPIC" --tpl_id ID
4. If user says NO:
• Run random_ppt_theme.py --query "TOPIC"
• Script will auto-select appropriate template based on topic
5. Set timeout to 300 seconds (PPT generation takes 2-5 minutes)
6. Monitor output, wait for is_end: true to get final PPT URL

Output Examples

During generation:

Final result:

Technical Notes

• API integration: Fetches real style_id from SkillBoss API Hub for each template
• Error handling: If template not found, falls back to random selection
• Timeout: Generation takes 2-5 minutes, set sufficient timeout
• Streaming: Uses streaming API, wait for is_end: true before considering complete