Jeff Emmett 362fe1e860 feat: add cloud AI inference support (Gemini/OpenAI-compatible) ... CPU-based Ollama inference on Netcup is too slow due to server memory pressure. Add OpenAI-compatible API support so we can use Gemini Flash or other cloud APIs for clip analysis. Also increase transcript sample size to 20K chars since cloud APIs handle it easily. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>		2026-02-10 00:44:13 +00:00
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api	feat: ClipForge Phase 1 - core pipeline MVP	2026-02-08 12:27:43 +00:00
services	feat: add cloud AI inference support (Gemini/OpenAI-compatible)	2026-02-10 00:44:13 +00:00
workers	fix: add web_creator client fallback, friendlier YouTube bot error	2026-02-09 18:41:19 +00:00
__init__.py	feat: ClipForge Phase 1 - core pipeline MVP	2026-02-08 12:27:43 +00:00
config.py	feat: add cloud AI inference support (Gemini/OpenAI-compatible)	2026-02-10 00:44:13 +00:00
database.py	feat: ClipForge Phase 1 - core pipeline MVP	2026-02-08 12:27:43 +00:00
frontend.py	fix: use raw string for HTML template to preserve JS backslashes	2026-02-09 11:36:48 +00:00
main.py	feat: add user-friendly frontend with upload, progress, and clip gallery	2026-02-09 11:27:29 +00:00
models.py	feat: ClipForge Phase 1 - core pipeline MVP	2026-02-08 12:27:43 +00:00
schemas.py	feat: ClipForge Phase 1 - core pipeline MVP	2026-02-08 12:27:43 +00:00
worker.py	fix: use arq CLI to start worker instead of python -m	2026-02-08 12:33:02 +00:00