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wm-topicgpt

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0.1.5 wm_topicgpt-0.1.5-py3-none-any.whl

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Project: wm-topicgpt
Version: 0.1.5
Filename: wm_topicgpt-0.1.5-py3-none-any.whl
Download: [link]
Size: 24118
MD5: 2385a5614a6953b3bc7d03cb49ef4653
SHA256: 7ab388d16e54e00dba108eeba689be50e89497aab468094a59054c3027b4d933
Uploaded: 2024-05-08 19:45:55 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: wm-topicgpt
Version: 0.1.5
Summary: This is a package to generate topics for the text corpus.
Requires-Python: >=3.9
Requires-Dist: numpy (==1.26.4)
Requires-Dist: pandas (==2.2.1)
Requires-Dist: tqdm (==4.66.2)
Requires-Dist: azure-ai-textanalytics (==5.3.0)
Requires-Dist: aiohttp (==3.9.3)
Requires-Dist: langchain (==0.1.14)
Requires-Dist: langchain-community (==0.0.31)
Requires-Dist: pycryptodome (==3.10.1)
Requires-Dist: tiktoken (==0.6.0)
Requires-Dist: openai (==1.16.0)
Requires-Dist: scikit-learn (==1.4.0)
Requires-Dist: umap-learn (==0.5.5)
Requires-Dist: sentence-transformers (==2.6.1)
Requires-Dist: pydantic (==2.7.1)
Requires-Dist: google-cloud-bigquery (==3.21.0)
Requires-Dist: gradio (==4.28.3)
Requires-Dist: appscript (==1.2.5)
Requires-Dist: keybert (==0.8.4)
Requires-Dist: pyarrow (==16.0.0)
Description-Content-Type: text/markdown
[Description omitted; length: 6411 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
topicgpt/__init__.py sha256=0WZYByfxhoFaGUmmrS7iTFLy0wRkad0qwfRubD14ho8 209
topicgpt/_config.py sha256=3kYrD_aP9IfrDmlN8H8wGSfensoKrrVla1WaXWkbvRQ 312
topicgpt/base.py sha256=_JAEpLsqZrCxn0iIwoZRZEZzOs_4Nd6zh2XfgtyCWDg 276
topicgpt/pipeline.py sha256=NcjTmmBZPVpFxk3oH4Dx6K0kv1jjnjhQoFjhW5DK4Ts 5375
topicgpt/utils.py sha256=3oorvtRXFBZ5Hb3NwjmvuJsKKTOGZU1OcEeP5ztcxNk 412
topicgpt/clustering/__init__.py sha256=-3Jx1XrtAqlDtymiviTsuc_RTvkf2-WVi6nZL9ASNwk 191
topicgpt/clustering/_base_cluster.py sha256=WCiZublm8klS85i2OikYOAJEH0krAAFHLJ2vbBDXjos 428
topicgpt/clustering/_hdbscan.py sha256=SD3ZTqmCSjr4yfI4cZ7cCqPSJsZvypz9zz3wIjuLgow 3035
topicgpt/clustering/_kmeans.py sha256=n0oYQiREZN8tY2WmqB1FoQpOT77XU-HJ4UMrOUlWzAI 10045
topicgpt/clustering/_sampling.py sha256=erZnp064q7sIvbWyBHArTqT7YXzN9K3jacrxgd192Ck 2285
topicgpt/generation/__init__.py sha256=xj41mZD77Txdd1g2J6GI_WiBusy_SGaCoTHCFTTZKzg 138
topicgpt/generation/_keywords.py sha256=G_wH7Ex7ea2Srw1jU52s1IzkigBLIXz990oMtBDJl5o 2910
topicgpt/generation/_topic.py sha256=k3jZz-w-KeSX8XtuxumRNc8EX5AovJn7Af5kcRLq6TM 5765
topicgpt/persistence/__init__.py sha256=-lR3wwP276OYPK9nwxHpKVarjoWaa2SdwtH1R5Krm5Q 330
topicgpt/persistence/_plot.py sha256=O6PGHwXy_nV1t3qc-G9vEwDGoljFlUMh5dhqQ8NrLmY 1012
topicgpt/persistence/_save.py sha256=Vc_N2nAYnpn21MBZ9zktrMc4b7k1D87r-yDePNnSMUU 4297
topicgpt/preprocessing/__init__.py sha256=k0TmYWxCw5BhXthQWNc8y9a-zEzhBdXdrbzXJV0BMtg 108
topicgpt/preprocessing/_data.py sha256=VJMyEX_3D0Ym8m48hhAXd4oW16yW1GdnmwkjvQLSDUM 2854
topicgpt/walmart_llm/__init__.py sha256=SZkzVRjDiRByt5iieKVq-ryzVUYtyNwZOG3MYJJdL70 153
topicgpt/walmart_llm/_chat_model.py sha256=804NybVnixkEn8zdC5vr9sgj4cacBRDNkY4jMuRWvk4 9052
topicgpt/walmart_llm/_embed_model.py sha256=CU1jr4bBo1cm-Q81WX1jPCEOgpAmzuppKlBdsRPFQ6Q 8079
topicgpt/walmart_llm/_llm_client.py sha256=a-n2oD9q281txSO1TlCSsvIclid0oJhGWixEGugJtPI 7922
wm_topicgpt-0.1.5.dist-info/METADATA sha256=UdB9Qevjmlzj2JkZmLOXgEEV01yAra1XtjwKonWTgtI 7261
wm_topicgpt-0.1.5.dist-info/WHEEL sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ 92
wm_topicgpt-0.1.5.dist-info/top_level.txt sha256=G21kkadGUYCDXNtssmQGKUPSH6vXvAN2NT9AEnFPhNs 9
wm_topicgpt-0.1.5.dist-info/RECORD — —

top_level.txt

topicgpt