README.md

metadata

title: Tricket
emoji: 🎬
colorFrom: purple
colorTo: blue
sdk: gradio
sdk_version: 6.5.1
app_file: app.py
pinned: false
short_description: One prompt → a vertical product ad video

🎬 tricket — one prompt → a product ad video

Describe a product and tricket produces a finished vertical (9:16) ad:

1. GLM-4.6 (via the HF inference router) writes a multi-scene ad script.
2. FLUX.1-schnell paints each scene.
3. Kokoro voices the narration (English or 中文).
4. ffmpeg cuts it together — Ken Burns motion, burned captions, voiceover — into an MP4.

All GPU work runs on-demand on Modal and scales to zero when idle.

Built for the build-small hackathon.

Architecture

HF Space (Gradio, this repo)                Modal.com  (app: tricket-flux)
  app.py  ── GLM script (HF router)
          ── Model.generate   (FLUX.1-schnell, A100)  per scene
          ── TTS.synth        (Kokoro, CPU)           per scene
          ── assemble_video   (ffmpeg, CPU)  → 9:16 MP4

Two tabs: 🎬 Ad Studio (the pipeline above) and 🖼 Single Image (plain FLUX text-to-image).

Setup (for maintainers)

1. Deploy the backend (Modal CLI authenticated):

   modal secret create huggingface HF_TOKEN=hf_xxx   # FLUX is gated
   modal deploy modal_app.py
   

2. Set this Space's secrets (Settings → Variables and secrets):
   • MODAL_TOKEN_ID, MODAL_TOKEN_SECRET — call Modal from the Space
   • HF_TOKEN — used by the GLM script writer (router.huggingface.co)