Unify into FastAPI generation studio with integrated FE/BE generator

[edumgt]

Motivation

• Consolidate scattered scripts into a single FastAPI-backed generation studio that combines backend validation/generation and a lightweight frontend UI.
• Allow users to pick a Hugging Face model, choose image vs video preview, set image width/height or video_size, and provide a prompt in a single page.
• Keep runtime lightweight and safe for the demo environment by returning SVG preview assets instead of pulling heavy ML model dependencies.

Description

• Added a generator service in backend/app/generator.py providing GenerateRequest, GenerationResult, and GeneratorService with video size presets and SVG preview creation.
• Reworked backend/app/main.py to expose GET /api/options and POST /api/generate, mount a generated outputs directory at /outputs, and wire the GeneratorService into the app.
• Replaced the dashboard with a studio UI by updating frontend/index.html, frontend/app.js, and frontend/styles.css to support model selection, output-type toggling, width/height inputs, video-size presets, prompt entry, and submission to /api/generate.
• Updated tests/test_api.py to validate the new GET /api/options and POST /api/generate workflows, and updated README.md, backend/requirements.txt, and .gitignore to match the new studio layout and generated artifact handling.

Testing

• Ran the test suite with pytest -q, which passed: 3 passed.

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