devika

[werruww]

not work

[werruww]

Lists do not open and project name does not appear

[darrassi1]

try this PR #603

[werruww]

Is it possible to upload the entire repaired files?

[werruww]

#603

[werruww]

(base) C:\WINDOWS\system32>cd C:\Users\m\Desktop\p

(base) C:\Users\m\Desktop\p>git clone https://github.com/stitionai/devika.git
Cloning into 'devika'...
remote: Enumerating objects: 1483, done.
remote: Counting objects: 100% (637/637), done.
remote: Compressing objects: 100% (202/202), done.
Receiving objects: 100% (1483/1483), 6.07 MiB | 3.32 MiB/s, done.
Resolving deltas: 1% (9/864), reused 449 (delta 434), pack-reused 846Resolving deltas: 0% (0/864)
Resolving deltas: 100% (864/864), done.

(base) C:\Users\m\Desktop\p>cd devika

(base) C:\Users\m\Desktop\p\devika>gh pr checkout 603
remote: Enumerating objects: 71, done.
remote: Counting objects: 100% (71/71), done.
remote: Compressing objects: 100% (65/65), done.
remote: Total 71 (delta 42), reused 15 (delta 6), pack-reused 0
Unpacking objects: 100% (71/71), 23.13 KiB | 8.00 KiB/s, done.
From https://github.com/stitionai/devika

• [new ref] refs/pull/603/head -> darrassi1/main
  Switched to branch 'darrassi1/main'

(base) C:\Users\m\Desktop\p\devika>uv venv
Using Python 3.11.5 interpreter at: C:\Users\m\anaconda3\python.exe
Creating virtualenv at: .venv
Activate with: .venv\Scripts\activate

(base) C:\Users\m\Desktop\p\devika>.venv\Scripts\activate

(devika) (base) C:\Users\m\Desktop\p\devika>uv pip install -r requirements.txt
Resolved 143 packages in 7.43s
Downloaded 2 packages in 5.57s
Installed 143 packages in 1m 05s

• annotated-types==0.7.0
• anthropic==0.28.1
• anyio==4.4.0
• arabic-reshaper==3.0.0
• asn1crypto==1.5.1
• beautifulsoup4==4.12.3
• bidict==0.23.1
• blinker==1.8.2
• cachetools==5.3.3
• certifi==2024.6.2
• cffi==1.16.0
• chardet==5.2.0
• charset-normalizer==3.3.2
• click==8.1.7
• colorama==0.4.6
• cryptography==42.0.8
• cssselect2==0.7.0
• distro==1.9.0
• dnspython==2.6.1
• duckduckgo-search==6.1.6
• eventlet==0.36.1
• fastlogging==1.0.0
• filelock==3.15.1
• flask==3.0.3
• flask-cors==4.0.1
• flask-socketio==5.3.6
• fsspec==2024.6.0
• gevent==24.2.1
• gevent-websocket==0.10.1
• gitdb==4.0.11
• gitpython==3.1.43
• google-ai-generativelanguage==0.6.4
• google-api-core==2.19.0
• google-api-python-client==2.133.0
• google-auth==2.30.0
• google-auth-httplib2==0.2.0
• google-generativeai==0.6.0
• googleapis-common-protos==1.63.1
• greenlet==3.0.3
• groq==0.9.0
• grpcio==1.64.1
• grpcio-status==1.62.2
• h11==0.14.0
• html5lib==1.1
• httpcore==1.0.5
• httplib2==0.22.0
• httpx==0.27.0
• huggingface-hub==0.23.4
• idna==3.7
• iniconfig==2.0.0
• intel-openmp==2021.4.0
• itsdangerous==2.2.0
• jinja2==3.1.4
• jiter==0.4.2
• joblib==1.4.2
• keybert==0.8.5
• lxml==5.2.2
• markdown==3.6
• markdown-it-py==3.0.0
• markdownify==0.12.1
• markupsafe==2.1.5
• mdurl==0.1.2
• mistletoe==1.3.0
• mistralai==0.3.0
• mkl==2021.4.0
• mpmath==1.3.0
• netlify-py==0.1.0
• networkx==3.3
• numpy==2.0.0
• ollama==0.2.1
• openai==1.34.0
• orjson==3.10.5
• oscrypto==1.3.0
• packaging==24.1
• pdfminer-six==20231228
• pillow==10.3.0
• playwright==1.44.0
• pluggy==1.5.0
• proto-plus==1.23.0
• protobuf==4.25.3
• pyasn1==0.6.0
• pyasn1-modules==0.4.0
• pycparser==2.22
• pydantic==2.7.4
• pydantic-core==2.18.4
• pyee==11.1.0
• pygments==2.18.0
• pyhanko==0.25.0
• pyhanko-certvalidator==0.26.3
• pyparsing==3.1.2
• pypdf==4.2.0
• pypng==0.20220715.0
• pyreqwest-impersonate==0.4.7
• pytest==8.2.2
• pytest-base-url==2.1.0
• pytest-playwright==0.5.0
• python-bidi==0.4.2
• python-engineio==4.9.1
• python-slugify==8.0.4
• python-socketio==5.11.2
• pyyaml==6.0.1
• qrcode==7.4.2
• regex==2024.5.15
• reportlab==4.2.0
• requests==2.32.3
• rich==13.7.1
• rsa==4.9
• safetensors==0.4.3
• scikit-learn==1.5.0
• scipy==1.13.1
• sentence-transformers==3.0.1
• setuptools==70.0.0
• simple-websocket==1.0.0
• six==1.16.0
• smmap==5.0.1
• sniffio==1.3.1
• soupsieve==2.5
• sqlalchemy==2.0.30
• sqlmodel==0.0.19
• svglib==1.5.1
• sympy==1.12.1
• tbb==2021.12.0
• text-unidecode==1.3
• threadpoolctl==3.5.0
• tiktoken==0.7.0
• tinycss2==1.3.0
• tokenizers==0.19.1
• toml==0.10.2
• torch==2.3.1
• tqdm==4.66.4
• transformers==4.41.2
• typing-extensions==4.12.2
• tzdata==2024.1
• tzlocal==5.2
• uritemplate==4.1.1
• uritools==4.0.3
• urllib3==2.2.2
• webencodings==0.5.1
• werkzeug==3.0.3
• wsproto==1.2.0
• xhtml2pdf==0.2.16
• zope-event==5.0
• zope-interface==6.4.post2

(devika) (base) C:\Users\m\Desktop\p\devika>playwright install --with-deps

(devika) (base) C:\Users\m\Desktop\p\devika>python devika.py
24.06.17 10:28:44: root: INFO : Initializing Devika...
24.06.17 10:28:44: root: INFO : checking configurations...
24.06.17 10:28:44: root: INFO : Initializing Prerequisites Jobs...

A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.0.0 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.

If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.

Traceback (most recent call last): File "C:\Users\m\Desktop\p\devika\devika.py", line 8, in
init_devika()
File "C:\Users\m\Desktop\p\devika\src\init.py", line 27, in init_devika
from src.bert.sentence import SentenceBert
File "C:\Users\m\Desktop\p\devika\src\bert\sentence.py", line 1, in
from keybert import KeyBERT
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\keybert_init_.py", line 3, in
from keybert.llm import KeyLLM
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\keybert_llm.py", line 4, in
from sentence_transformers import util
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\sentence_transformers_init.py", line 15, in
from sentence_transformers.trainer import SentenceTransformerTrainer
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\sentence_transformers\trainer.py", line 10, in
from transformers import EvalPrediction, PreTrainedTokenizerBase, Trainer, TrainerCallback
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\transformers\utils\import_utils.py", line 1525, in getattr
module = self._get_module(self._class_to_module[name])
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\transformers\utils\import_utils.py", line 1535, in get_module
return importlib.import_module("." + module_name, self.name)
File "C:\Users\m\anaconda3\Lib\importlib_init.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\transformers\trainer.py", line 71, in
from .optimization import Adafactor, get_scheduler
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\transformers\optimization.py", line 27, in
from .trainer_pt_utils import LayerWiseDummyOptimizer, LayerWiseDummyScheduler
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\transformers\trainer_pt_utils.py", line 235, in
device: Optional[torch.device] = torch.device("cuda"),
C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\transformers\trainer_pt_utils.py:235: UserWarning: Failed to initialize NumPy: _ARRAY_API not found (Triggered internally at ..\torch\csrc\utils\tensor_numpy.cpp:84.)
device: Optional[torch.device] = torch.device("cuda"),
24.06.17 10:30:31: root: INFO : Loading sentence-transformer BERT models...
Traceback (most recent call last):
File "C:\Users\m\Desktop\p\devika\devika.py", line 8, in
init_devika()
File "C:\Users\m\Desktop\p\devika\src\init.py", line 31, in init_devika
SentenceBert(prompt).extract_keywords()
File "C:\Users\m\Desktop\p\devika\src\bert\sentence.py", line 9, in extract_keywords
keywords = self.kw_model.extract_keywords(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\keybert_model.py", line 195, in extract_keywords
doc_embeddings = self.model.embed(docs)
^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\keybert\backend_sentencetransformers.py", line 67, in embed embeddings = self.embedding_model.encode(documents, **self.encode_kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\sentence_transformers\SentenceTransformer.py", line 568, in encode
all_embeddings = np.asarray([emb.numpy() for emb in all_embeddings])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\sentence_transformers\SentenceTransformer.py", line 568, in
all_embeddings = np.asarray([emb.numpy() for emb in all_embeddings])
^^^^^^^^^^^
RuntimeError: Numpy is not available

(devika) (base) C:\Users\m\Desktop\p\devika>

[werruww]

(base) C:\Users\m>cd C:\Users\m\Desktop\p

(base) C:\Users\m\Desktop\p>git clone https://github.com/stitionai/devika.git
Cloning into 'devika'...
remote: Enumerating objects: 1483, done.
remote: Counting objects: 100% (648/648), done.
remote: Compressing objects: 100% (205/205), done.
Receiving objects: 100% (1483/1483), 6.07 MiB | 1.54 MiB/s, done.
remote: Total 1483 (delta 519), reused 457 (delta 442), pack-reused 835
Resolving deltas: 100% (866/866), done.

(base) C:\Users\m\Desktop\p>cd devika

(base) C:\Users\m\Desktop\p\devika>uv venv
Using Python 3.11.5 interpreter at: C:\Users\m\anaconda3\python.exe
Creating virtualenv at: .venv
Activate with: .venv\Scripts\activate

(base) C:\Users\m\Desktop\p\devika>.venv\Scripts\activate

(devika) (base) C:\Users\m\Desktop\p\devika>uv pip install -r requirements.txt
Resolved 143 packages in 1.12s
Installed 143 packages in 30.15s

• annotated-types==0.7.0
• anthropic==0.28.1
• anyio==4.4.0
• arabic-reshaper==3.0.0
• asn1crypto==1.5.1
• beautifulsoup4==4.12.3
• bidict==0.23.1
• blinker==1.8.2
• cachetools==5.3.3
• certifi==2024.6.2
• cffi==1.16.0
• chardet==5.2.0
• charset-normalizer==3.3.2
• click==8.1.7
• colorama==0.4.6
• cryptography==42.0.8
• cssselect2==0.7.0
• distro==1.9.0
• dnspython==2.6.1
• duckduckgo-search==6.1.6
• eventlet==0.36.1
• fastlogging==1.0.0
• filelock==3.15.1
• flask==3.0.3
• flask-cors==4.0.1
• flask-socketio==5.3.6
• fsspec==2024.6.0
• gevent==24.2.1
• gevent-websocket==0.10.1
• gitdb==4.0.11
• gitpython==3.1.43
• google-ai-generativelanguage==0.6.4
• google-api-core==2.19.0
• google-api-python-client==2.133.0
• google-auth==2.30.0
• google-auth-httplib2==0.2.0
• google-generativeai==0.6.0
• googleapis-common-protos==1.63.1
• greenlet==3.0.3
• groq==0.9.0
• grpcio==1.64.1
• grpcio-status==1.62.2
• h11==0.14.0
• html5lib==1.1
• httpcore==1.0.5
• httplib2==0.22.0
• httpx==0.27.0
• huggingface-hub==0.23.4
• idna==3.7
• iniconfig==2.0.0
• intel-openmp==2021.4.0
• itsdangerous==2.2.0
• jinja2==3.1.4
• jiter==0.4.2
• joblib==1.4.2
• keybert==0.8.5
• lxml==5.2.2
• markdown==3.6
• markdown-it-py==3.0.0
• markdownify==0.12.1
• markupsafe==2.1.5
• mdurl==0.1.2
• mistletoe==1.3.0
• mistralai==0.3.0
• mkl==2021.4.0
• mpmath==1.3.0
• netlify-py==0.1.0
• networkx==3.3
• numpy==2.0.0
• ollama==0.2.1
• openai==1.34.0
• orjson==3.10.5
• oscrypto==1.3.0
• packaging==24.1
• pdfminer-six==20231228
• pillow==10.3.0
• playwright==1.44.0
• pluggy==1.5.0
• proto-plus==1.23.0
• protobuf==4.25.3
• pyasn1==0.6.0
• pyasn1-modules==0.4.0
• pycparser==2.22
• pydantic==2.7.4
• pydantic-core==2.18.4
• pyee==11.1.0
• pygments==2.18.0
• pyhanko==0.25.0
• pyhanko-certvalidator==0.26.3
• pyparsing==3.1.2
• pypdf==4.2.0
• pypng==0.20220715.0
• pyreqwest-impersonate==0.4.7
• pytest==8.2.2
• pytest-base-url==2.1.0
• pytest-playwright==0.5.0
• python-bidi==0.4.2
• python-engineio==4.9.1
• python-slugify==8.0.4
• python-socketio==5.11.2
• pyyaml==6.0.1
• qrcode==7.4.2
• regex==2024.5.15
• reportlab==4.2.0
• requests==2.32.3
• rich==13.7.1
• rsa==4.9
• safetensors==0.4.3
• scikit-learn==1.5.0
• scipy==1.13.1
• sentence-transformers==3.0.1
• setuptools==70.0.0
• simple-websocket==1.0.0
• six==1.16.0
• smmap==5.0.1
• sniffio==1.3.1
• soupsieve==2.5
• sqlalchemy==2.0.30
• sqlmodel==0.0.19
• svglib==1.5.1
• sympy==1.12.1
• tbb==2021.12.0
• text-unidecode==1.3
• threadpoolctl==3.5.0
• tiktoken==0.7.0
• tinycss2==1.3.0
• tokenizers==0.19.1
• toml==0.10.2
• torch==2.3.1
• tqdm==4.66.4
• transformers==4.41.2
• typing-extensions==4.12.2
• tzdata==2024.1
• tzlocal==5.2
• uritemplate==4.1.1
• uritools==4.0.3
• urllib3==2.2.2
• webencodings==0.5.1
• werkzeug==3.0.3
• wsproto==1.2.0
• xhtml2pdf==0.2.16
• zope-event==5.0
• zope-interface==6.4.post2

(devika) (base) C:\Users\m\Desktop\p\devika>playwright install --with-deps

(devika) (base) C:\Users\m\Desktop\p\devika>python devika.py
24.06.17 10:37:54: root: INFO : Initializing Devika...
24.06.17 10:37:54: root: INFO : checking configurations...
24.06.17 10:37:54: root: INFO : Initializing Prerequisites Jobs...

A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.0.0 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.

If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.

Traceback (most recent call last): File "C:\Users\m\Desktop\p\devika\devika.py", line 8, in
init_devika()
File "C:\Users\m\Desktop\p\devika\src\init.py", line 27, in init_devika
from src.bert.sentence import SentenceBert
File "C:\Users\m\Desktop\p\devika\src\bert\sentence.py", line 1, in
from keybert import KeyBERT
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\keybert_init_.py", line 3, in
from keybert.llm import KeyLLM
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\keybert_llm.py", line 4, in
from sentence_transformers import util
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\sentence_transformers_init.py", line 15, in
from sentence_transformers.trainer import SentenceTransformerTrainer
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\sentence_transformers\trainer.py", line 10, in
from transformers import EvalPrediction, PreTrainedTokenizerBase, Trainer, TrainerCallback File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\transformers\utils\import_utils.py", line 1525, in getattr
module = self._get_module(self._class_to_module[name])
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\transformers\utils\import_utils.py", line 1535, in get_module
return importlib.import_module("." + module_name, self.name)
File "C:\Users\m\anaconda3\Lib\importlib_init.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\transformers\trainer.py", line 71, in
from .optimization import Adafactor, get_scheduler
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\transformers\optimization.py", line 27, in
from .trainer_pt_utils import LayerWiseDummyOptimizer, LayerWiseDummyScheduler
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\transformers\trainer_pt_utils.py", line 235, in
device: Optional[torch.device] = torch.device("cuda"),
C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\transformers\trainer_pt_utils.py:235: UserWarning: Failed to initialize NumPy: _ARRAY_API not found (Triggered internally at ..\torch\csrc\utils\tensor_numpy.cpp:84.)
device: Optional[torch.device] = torch.device("cuda"),
24.06.17 10:38:27: root: INFO : Loading sentence-transformer BERT models...
Traceback (most recent call last):
File "C:\Users\m\Desktop\p\devika\devika.py", line 8, in
init_devika()
File "C:\Users\m\Desktop\p\devika\src\init.py", line 31, in init_devika
SentenceBert(prompt).extract_keywords()
File "C:\Users\m\Desktop\p\devika\src\bert\sentence.py", line 9, in extract_keywords
keywords = self.kw_model.extract_keywords(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\keybert_model.py", line 195, in extract_keywords
doc_embeddings = self.model.embed(docs)
^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\keybert\backend_sentencetransformers.py", line 67, in embed
embeddings = self.embedding_model.encode(documents, **self.encode_kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\sentence_transformers\SentenceTransformer.py", line 568, in encode
all_embeddings = np.asarray([emb.numpy() for emb in all_embeddings])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\sentence_transformers\SentenceTransformer.py", line 568, in
all_embeddings = np.asarray([emb.numpy() for emb in all_embeddings])
^^^^^^^^^^^
RuntimeError: Numpy is not available

(devika) (base) C:\Users\m\Desktop\p\devika>python devika.py
24.06.17 10:41:53: root: INFO : Initializing Devika...
24.06.17 10:41:53: root: INFO : checking configurations...
24.06.17 10:41:53: root: INFO : Initializing Prerequisites Jobs...

A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.0.0 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.

If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.

Traceback (most recent call last): File "C:\Users\m\Desktop\p\devika\devika.py", line 8, in
init_devika()
File "C:\Users\m\Desktop\p\devika\src\init.py", line 27, in init_devika
from src.bert.sentence import SentenceBert
File "C:\Users\m\Desktop\p\devika\src\bert\sentence.py", line 1, in
from keybert import KeyBERT
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\keybert_init_.py", line 3, in
from keybert.llm import KeyLLM
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\keybert_llm.py", line 4, in
from sentence_transformers import util
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\sentence_transformers_init.py", line 15, in
from sentence_transformers.trainer import SentenceTransformerTrainer
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\sentence_transformers\trainer.py", line 10, in
from transformers import EvalPrediction, PreTrainedTokenizerBase, Trainer, TrainerCallback
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\transformers\utils\import_utils.py", line 1525, in getattr
module = self._get_module(self._class_to_module[name])
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\transformers\utils\import_utils.py", line 1535, in get_module
return importlib.import_module("." + module_name, self.name)
File "C:\Users\m\anaconda3\Lib\importlib_init.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\transformers\trainer.py", line 71, in
from .optimization import Adafactor, get_scheduler
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\transformers\optimization.py", line 27, in
from .trainer_pt_utils import LayerWiseDummyOptimizer, LayerWiseDummyScheduler
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\transformers\trainer_pt_utils.py", line 235, in
device: Optional[torch.device] = torch.device("cuda"),
C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\transformers\trainer_pt_utils.py:235: UserWarning: Failed to initialize NumPy: _ARRAY_API not found (Triggered internally at ..\torch\csrc\utils\tensor_numpy.cpp:84.)
device: Optional[torch.device] = torch.device("cuda"),
24.06.17 10:42:00: root: INFO : Loading sentence-transformer BERT models...
modules.json: 100%|████████████████████████████████████████████████████████████████████████████████| 349/349 [00:00<?, ?B/s]
C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\huggingface_hub\file_download.py:157: UserWarning: huggingface_hub cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\Users\m.cache\huggingface\hub\models--sentence-transformers--all-MiniLM-L6-v2. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the HF_HUB_DISABLE_SYMLINKS_WARNING environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.
To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to see activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development
warnings.warn(message)
config_sentence_transformers.json: 100%|███████████████████████████████████████████████████████████| 116/116 [00:00<?, ?B/s]
README.md: 100%|███████████████████████████████████████████████████████████████████████████████| 10.7k/10.7k [00:00<?, ?B/s]
sentence_bert_config.json: 100%|█████████████████████████████████████████████████████████████████| 53.0/53.0 [00:00<?, ?B/s]
config.json: 100%|█████████████████████████████████████████████████████████████████████████| 612/612 [00:00<00:00, 39.2kB/s]
model.safetensors: 100%|███████████████████████████████████████████████████████████████| 90.9M/90.9M [00:25<00:00, 3.53MB/s]
tokenizer_config.json: 100%|███████████████████████████████████████████████████████████████████████| 350/350 [00:00<?, ?B/s]
vocab.txt: 100%|██████████████████████████████████████████████████████████████████████████| 232k/232k [00:00<00:00, 872kB/s]
tokenizer.json: 100%|████████████████████████████████████████████████████████████████████| 466k/466k [00:00<00:00, 1.11MB/s]
special_tokens_map.json: 100%|█████████████████████████████████████████████████████████████| 112/112 [00:00<00:00, 7.18kB/s]
1_Pooling/config.json: 100%|███████████████████████████████████████████████████████████████████████| 190/190 [00:00<?, ?B/s]
Traceback (most recent call last):
File "C:\Users\m\Desktop\p\devika\devika.py", line 8, in
init_devika()
File "C:\Users\m\Desktop\p\devika\src\init.py", line 31, in init_devika
SentenceBert(prompt).extract_keywords()
File "C:\Users\m\Desktop\p\devika\src\bert\sentence.py", line 9, in extract_keywords
keywords = self.kw_model.extract_keywords(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\keybert_model.py", line 195, in extract_keywords
doc_embeddings = self.model.embed(docs)
^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\keybert\backend_sentencetransformers.py", line 67, in embed
embeddings = self.embedding_model.encode(documents, **self.encode_kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\sentence_transformers\SentenceTransformer.py", line 568, in encode
all_embeddings = np.asarray([emb.numpy() for emb in all_embeddings])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\m\Desktop\p\devika.venv\Lib\site-packages\sentence_transformers\SentenceTransformer.py", line 568, in
all_embeddings = np.asarray([emb.numpy() for emb in all_embeddings])
^^^^^^^^^^^
RuntimeError: Numpy is not available