Commits · jnalv/semantic-explorer

Fix: Properly check numpy array length instead of truthiness to avoid ambiguity error

8d18a79

jnalv commited on about 1 month ago

Fix: Use query_texts instead of query_embeddings for better compatibility with HF Spaces ChromaDB

eada2c9

jnalv commited on about 1 month ago

Fix: Use query() with distances and compute actual similarities for least similar words

a298b4e

jnalv commited on about 1 month ago

Fix: Use get() with limit instead of query() to avoid ChromaDB query issues on HF Spaces

731a733

jnalv commited on about 1 month ago

Fix: Add error handling and use 2000-word sample for most/least similar

9fbadd1

jnalv commited on Jan 6

Fix: Properly compute cosine similarity for most/least similar by fetching subset and calculating manually

c6796a5

jnalv commited on Jan 6

Fix: Use ChromaDB query() instead of get() to avoid memory issues with large collections

4f8a417

jnalv commited on Jan 6

Cleanup: remove app_hf_spaces.py, update PROJECT.md to reflect current deployed state

87f87b4

jnalv commited on Jan 6

Fix: Update app.py with refined version (was using old version)

872bfa3

jnalv commited on Jan 6

Refine HF Spaces app: remove Target Score tab, fix Most & Least Similar to 20 results, change to radio buttons

46dbeda

jnalv commited on Jan 6

Semantic Word Explorer: 2 embedding models, 102k words

c4e691d

jnalv commited on Jan 5

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Commit History

Fix: Properly check numpy array length instead of truthiness to avoid ambiguity error

8d18a79

Fix: Use query_texts instead of query_embeddings for better compatibility with HF Spaces ChromaDB

eada2c9

Fix: Use query() with distances and compute actual similarities for least similar words

a298b4e

Fix: Use get() with limit instead of query() to avoid ChromaDB query issues on HF Spaces

731a733

Fix: Add error handling and use 2000-word sample for most/least similar

9fbadd1

Fix: Properly compute cosine similarity for most/least similar by fetching subset and calculating manually

c6796a5

Fix: Use ChromaDB query() instead of get() to avoid memory issues with large collections

4f8a417

Cleanup: remove app_hf_spaces.py, update PROJECT.md to reflect current deployed state

87f87b4

Fix: Update app.py with refined version (was using old version)

872bfa3

Refine HF Spaces app: remove Target Score tab, fix Most & Least Similar to 20 results, change to radio buttons

46dbeda

Semantic Word Explorer: 2 embedding models, 102k words

c4e691d

Commit History

Fix: Properly check numpy array length instead of truthiness to avoid ambiguity error 8d18a79

Fix: Use query_texts instead of query_embeddings for better compatibility with HF Spaces ChromaDB eada2c9

Fix: Use query() with distances and compute actual similarities for least similar words a298b4e

Fix: Use get() with limit instead of query() to avoid ChromaDB query issues on HF Spaces 731a733

Fix: Add error handling and use 2000-word sample for most/least similar 9fbadd1

Fix: Properly compute cosine similarity for most/least similar by fetching subset and calculating manually c6796a5

Fix: Use ChromaDB query() instead of get() to avoid memory issues with large collections 4f8a417

Cleanup: remove app_hf_spaces.py, update PROJECT.md to reflect current deployed state 87f87b4

Fix: Update app.py with refined version (was using old version) 872bfa3

Refine HF Spaces app: remove Target Score tab, fix Most & Least Similar to 20 results, change to radio buttons 46dbeda

Semantic Word Explorer: 2 embedding models, 102k words c4e691d

Fix: Properly check numpy array length instead of truthiness to avoid ambiguity error

8d18a79

Fix: Use query_texts instead of query_embeddings for better compatibility with HF Spaces ChromaDB

eada2c9

Fix: Use query() with distances and compute actual similarities for least similar words

a298b4e

Fix: Use get() with limit instead of query() to avoid ChromaDB query issues on HF Spaces

731a733

Fix: Add error handling and use 2000-word sample for most/least similar

9fbadd1

Fix: Properly compute cosine similarity for most/least similar by fetching subset and calculating manually

c6796a5

Fix: Use ChromaDB query() instead of get() to avoid memory issues with large collections

4f8a417

Cleanup: remove app_hf_spaces.py, update PROJECT.md to reflect current deployed state

87f87b4

Fix: Update app.py with refined version (was using old version)

872bfa3

Refine HF Spaces app: remove Target Score tab, fix Most & Least Similar to 20 results, change to radio buttons

46dbeda

Semantic Word Explorer: 2 embedding models, 102k words

c4e691d