القائمة
Converts written content into conversational two-host podcast audio format with natural dialogue structure.
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| name | podcast-generation |
| description | Converts written content into conversational two-host podcast audio format with natural dialogue structure. |
| version | 1.0.0 |
| tags | ["content","audio","media"] |
This skill generates high-quality podcast audio from text content. The workflow includes creating a structured JSON script (conversational dialogue) and executing audio generation through text-to-speech synthesis.
When a user requests podcast generation, identify:
/mnt/user-dataGenerate a structured JSON script file in /mnt/user-data/workspace/ with naming pattern: {descriptive-name}-script.json
The JSON structure:
{
"locale": "en",
"lines": [
{"speaker": "male", "paragraph": "dialogue text"},
{"speaker": "female", "paragraph": "dialogue text"}
]
}
Call the Python script:
python /mnt/skills/public/podcast-generation/scripts/generate.py \
--script-file /mnt/user-data/workspace/script-file.json \
--output-file /mnt/user-data/outputs/generated-podcast.mp3 \
--transcript-file /mnt/user-data/outputs/generated-podcast-transcript.md
Parameters:
--script-file: Absolute path to JSON script file (required)--output-file: Absolute path to output MP3 file (required)--transcript-file: Absolute path to output transcript markdown file (optional, but recommended)[!IMPORTANT]
- Execute the script in one complete call. Do NOT split the workflow into separate steps.
- The script handles all TTS API calls and audio generation internally.
- Do NOT read the Python file, just call it with the parameters.
- Always include
--transcript-fileto generate a readable transcript for the user.
The script JSON file must follow this structure:
{
"title": "The History of Artificial Intelligence",
"locale": "en",
"lines": [
{"speaker": "male", "paragraph": "Hello Deer! Welcome back to another episode."},
{"speaker": "female", "paragraph": "Hey everyone! Today we have an exciting topic to discuss."},
{"speaker": "male", "paragraph": "That's right! We're going to talk about..."}
]
}
Fields:
title: Title of the podcast episode (optional, used as heading in transcript)locale: Language code - "en" for English or "zh" for Chineselines: Array of dialogue lines
speaker: Either "male" or "female"paragraph: The dialogue text for this speakerWhen creating the script JSON, follow these guidelines:
User request: "Generate a podcast about the history of artificial intelligence"
Step 1: Create script file /mnt/user-data/workspace/ai-history-script.json:
{
"title": "The History of Artificial Intelligence",
"locale": "en",
"lines": [
{"speaker": "male", "paragraph": "Hello Deer! Welcome back to another fascinating episode. Today we're diving into something that's literally shaping our future - the history of artificial intelligence."},
{"speaker": "female", "paragraph": "Oh, I love this topic! You know, AI feels so modern, but it actually has roots going back over seventy years."},
{"speaker": "male", "paragraph": "Exactly! It all started back in the 1950s. The term artificial intelligence was actually coined by John McCarthy in 1956 at a famous conference at Dartmouth."},
{"speaker": "female", "paragraph": "Wait, so they were already thinking about machines that could think back then? That's incredible!"},
{"speaker": "male", "paragraph": "Right? The early pioneers were so optimistic. They thought we'd have human-level AI within a generation."},
{"speaker": "female", "paragraph": "But things didn't quite work out that way, did they?"},
{"speaker": "male", "paragraph": "No, not at all. The 1970s brought what's called the first AI winter..."}
]
}
Step 2: Execute generation:
python /mnt/skills/public/podcast-generation/scripts/generate.py \
--script-file /mnt/user-data/workspace/ai-history-script.json \
--output-file /mnt/user-data/outputs/ai-history-podcast.mp3 \
--transcript-file /mnt/user-data/outputs/ai-history-transcript.md
This will generate:
ai-history-podcast.mp3: The audio podcast fileai-history-transcript.md: A readable markdown transcript of the podcastRead the following template file only when matching the user request.
The generated podcast follows the "Hello Deer" format:
After generation:
/mnt/user-data/outputs/present_files toolThe following environment variables must be set:
VOLCENGINE_TTS_APPID: Volcengine TTS application IDVOLCENGINE_TTS_ACCESS_TOKEN: Volcengine TTS access tokenVOLCENGINE_TTS_CLUSTER: Volcengine TTS cluster (optional, defaults to "volcano_tts")