Metadata Generation
Generate a structured JSON file containing metadata for the radio show. This is done by sending the final mixed audio file and the original transcript back to Gemini.
Prerequisites
pip install google-genai
Workflow
- Read Inputs: Load the transcript from
./workspace/data/script.mdand the final audio from./workspace/audio/final/ai_radio.mp3. - Upload Audio: Upload the audio file to the Gemini Files API.
- Generate Metadata: Call Gemini (e.g.,
gemini-3-flash-preview) using the Interactions API, passing the uploaded audio file and the transcript. - Save Output: Save the resulting JSON to
./workspace/data/show_notes.json.
Python Code
The skill is implemented in scripts/generate_metadata.py.
# Example usage
python3 skills/metadata-generation/scripts/generate_metadata.py --workspace ./workspace
Output
The skill produces a JSON file at ./workspace/data/show_notes.json with the following structure:
{
"show_title": "...",
"show_duration": "...",
"two_sentence_summary": "...",
"date_of_generation": "YYYY-MM-DD",
"timecoded_transcript": [
{
"timecode": "MM:SS",
"speaker": "...",
"text": "..."
},
...
]
}
Error Handling
- If the audio file is missing, the script will fail.
- If the transcript is missing, it will fail.
- If the Gemini API call fails, it will report the error and exit.