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multimodel-rag-chat-with-videos

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multimodel-rag-chat-with-videos

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History: 98 commits

88hours's picture

improved limited UI

913d475 about 1 month ago

mm_rag
Add more path in ignore about 2 months ago
shared_data
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.gitattributes

1.6 kB

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.gitignore

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Update gitignore and use dockerfile for dev container about 2 months ago
Dockerfile

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README.md

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app.py

13.9 kB

improved limited UI about 1 month ago
gradio_utils.py

19 kB

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lrn_vector_embeddings.py

3.76 kB

Changing embedding from PredictionGuard to Local 2 months ago
requirements.txt

330 Bytes

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s2_download_data.py

1.34 kB

Remove Hugging Face download 2 months ago
s3_data_to_vector_embedding.py

2.03 kB

Remove Hugging Face download 2 months ago
s4_calculate_distance.py

2.85 kB

File Rename 2 months ago
s5-how-to-umap.py

5.3 kB

Plot shows, however, I am not certain if it is showing the right data. The main confusion is that to see vector data of 512 dimenstion, you need to reduce it to 2 dimension on a scaler plot. The function given here does not work. First np.concatenate does not like lists that has embeddings and has grad init. It want me to detach numpy. The second problem is with MinMaxScaler method that has issue with dimention, it expects 2, but one is given. Not very clear on this 2 months ago
s6_prepare_video_input.py

3.17 kB

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s7_store_in_rag.py

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utility.py

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