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clip-forge/backend/app
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Jeff Emmett d480c635ff Increase Ollama timeout to 1800s for long video transcripts 
47-minute videos produce ~48K chars of transcript which takes
>10 minutes for llama3.1:8b on CPU to process.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 		2026-02-09 21:27:36 +00:00
..
api feat: ClipForge Phase 1 - core pipeline MVP 2026-02-08 12:27:43 +00:00
services Increase Ollama timeout to 1800s for long video transcripts 2026-02-09 21:27:36 +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: ClipForge Phase 1 - core pipeline MVP 2026-02-08 12:27:43 +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