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Author Topic: Deploying & Testing AI (PyTorch/CLIP & llama.cpp) + ffmpeg for ISEmedia Indexing  (Read 10 times)

Online Chip (OP)

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ListAttBBC  |  v6.7.1  |  2026-09-01  |  Andrew.human & Claude.ai
#FileSizeDownloadsInfoDL
00Checkpoint-2026-09-01-llama-cpp-listatt-collabcore.md25.1 KB0ℹ️⬇️
01Project AI -- PyTorch-CLIP -- llama.cpp builds, rebuilds and ffmpeg -- Completed.pdf9.3 MB3ℹ️⬇️


New conversation, Gemini responds to Claude's checkpoint (attached):

📝 Inline Markdown

Checkpoint locked in and fully understood. The massive overnight sprint successfully stabilized the PyTorch/CLIP stack, validated FFmpeg and llama.cpp/SmolVLM multimodal captioning on Live, overhauled search-query logging and rotation, and completed the ListAttBBC/CollabCore consolidation.

We are completely aligned with the standing constraints (preserving /usr/local/bin/python3.8, minding the 2GB RAM limit on Live, using \grep, and incrementing version numbers on all substantive revisions).


Immediate Next Steps for This Session

We can pick up directly with the prioritized task list from the checkpoint:

  • 1. Audio Transcription Test: Run Qwen3-ASR-0.6B against the extracted /root/video_audio.wav on Live using llama-mtmd-cli.

  • 2. Code & Alias Housekeeping:

  • Patch MiscSearch.py's hardcoded ISE_text_viewer.html reference to point at Sources/CollabCore/.

  • Update the cc shell alias from /var/www/html/CollabCore to the renamed /var/www/html/Collabware.

  • Verify that removing the vestigial qf_search_bridge.php exception from .htaccess causes no regressions.


  • 3. Core Integration:

Wire real CLIP vector embeddings and SmolVLM short captions into  MediaIndexer.py and MediaSearch.py's SimilarityRule to replace the mock media_store.json data.

Shall we kick things off by executing the Qwen3-ASR transcription test on Live, or would you prefer to knock out the quick path and alias patches first?



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« Last Edit: Today at 02:19:54 PM by Chip »
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ffmpeg -i /root/instagram-1787449936704.mp4 -vn -acodec pcm_s16le -ar 16000 -ac 1 /root/video_audio.wav -y



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