Add cinema management video agent#3
Open
Laksh-star wants to merge 1 commit into
Open
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Summary
Adds a new
cinema-managementagent that turns an existing Twelve Labs film index into a management training video. The agent searches indexed film scenes, uses Pegasus to generate management-framed narration, extracts short scene clips locally, and assembles a streamable HLS video with VideoDB.What changed
cinema-management/withSKILL.md,AGENTS.md,README.md, and runnableagent.py..env.examplefor required Twelve Labs and VideoDB credentials.README.mdto list the new agent and include the verified demo stream.cinema-management/outputs/artifacts.Verification
PYTHONPYCACHEPREFIX=/tmp/cinema-management-pycache python3 -m py_compile cinema-management/agent.pyhttps://console.videodb.io/player?url=https://play.videodb.io/v1/39b00ef8-9fbf-477a-b3b4-09ed69f62f6a.m3u8