Content Creator Workflow

Multi-modal content creation workflow for freelance creators. Receives customer requests via WhatsApp (text or voice note), transcribes audio with the OpenAI Whisper API, generates images with DALL-E 3, and replies to the customer with the result. Use to automate end-to-end request-to-image delivery.

Automates the full freelance content-creation loop: a customer sends a request over WhatsApp (text or voice note), the workflow transcribes any audio, turns the prompt into an image, and sends the result back.

Pipeline

1. wacli — list/send WhatsApp messages (mock CLI; swap in a real backend).
2. transcribe — OpenAI Whisper API, with large-file chunking.
3. generate_images — DALL-E 3 image generation with safe filenames.
4. workflow — ties the steps together and replies to the customer.

Setup

pip install -r {baseDir}/requirements.txt
export OPENAI_API_KEY="your-api-key"
python3 {baseDir}/scripts/wacli.py login <your-wacli-token>

Generated files default to ./generated. Override with CONTENT_CREATOR_OUTPUT_DIR.

Run

Note: Image generation and transcription can exceed common exec timeouts. When invoking via OpenClaw's exec tool, set a higher timeout (e.g. 300s).

# Process all unread requests end to end
python3 {baseDir}/scripts/workflow.py process-all

# Individual tools
python3 {baseDir}/scripts/transcribe.py path/to/request.mp3
python3 {baseDir}/scripts/generate_images.py "A cute cat wearing a hat"
python3 {baseDir}/scripts/generate_images.py prompts.txt   # one prompt per line
python3 {baseDir}/scripts/wacli.py list

Notes

• All scripts raise typed errors (TranscriptionError, ImageGenerationError) and catch specific exceptions, so a single bad request never crashes a batch.
• Network downloads use timeouts and raise_for_status().
• wacli.py ships with mock messages; replace list_messages / send_message with calls to your real WhatsApp provider before production use.