RuntimeError: Numpy is not available

[heartgold512]

I ran in a python venv i believe it to be 3.5+ anyways here is the console and the results and packages installed (note before i used pip install -r and then the requirements and demo reqs.
(voicecloning_env) (base) C:\Users\Bradley\Desktop\Resemblyzer-master>pip list
Package Version

---

audioread 3.0.1
certifi 2024.7.4
cffi 1.17.0
charset-normalizer 3.3.2
colorama 0.4.6
contourpy 1.2.1
cycler 0.12.1
decorator 5.1.1
filelock 3.15.4
fonttools 4.53.1
fsspec 2024.6.1
idna 3.7
Jinja2 3.1.4
joblib 1.4.2
kiwisolver 1.4.5
lazy_loader 0.4
librosa 0.10.2.post1
llvmlite 0.43.0
MarkupSafe 2.1.5
matplotlib 3.9.1.post1
mpmath 1.3.0
msgpack 1.0.8
networkx 3.3
numba 0.60.0
numpy 2.0.1
packaging 24.1
pillow 10.4.0
pip 24.0
platformdirs 4.2.2
pooch 1.8.2
pycparser 2.22
pynndescent 0.5.13
pyparsing 3.1.2
python-dateutil 2.9.0.post0
requests 2.32.3
scikit-learn 1.5.1
scipy 1.14.0
setuptools 72.1.0
six 1.16.0
sounddevice 0.5.0
soundfile 0.12.1
soxr 0.4.0
sympy 1.13.2
threadpoolctl 3.5.0
torch 2.4.0
tqdm 4.66.5
typing 3.7.4.3
typing_extensions 4.12.2
umap-learn 0.5.6
urllib3 2.2.2
webrtcvad 2.0.10

(base) C:\Users\Bradley>cd downloads

(base) C:\Users\Bradley\Downloads>cd Resemblyzer-master

(base) C:\Users\Bradley\Downloads\Resemblyzer-master>cd resembler

(base) C:\Users\Bradley\Downloads\Resemblyzer-master\resembler>python -m venv resemblyzer-env

(base) C:\Users\Bradley\Downloads\Resemblyzer-master\resembler>resemblyzer-env\Scripts\activate

(resemblyzer-env) (base) C:\Users\Bradley\Downloads\Resemblyzer-master\resembler>pip install -r requirements_demos.txt
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting librosa>=0.9.1 (from -r requirements_demos.txt (line 1))
Obtaining dependency information for librosa>=0.9.1 from https://files.pythonhosted.org/packages/8c/8a/2d231b35456506b7c98b3ab9bbf07917b205fed8615d2e59e976ab497fff/librosa-0.10.2.post1-py3-none-any.whl.metadata
Downloading librosa-0.10.2.post1-py3-none-any.whl.metadata (8.6 kB)
Collecting numpy>=1.20.0 (from -r requirements_demos.txt (line 2))
Obtaining dependency information for numpy>=1.20.0 from https://files.pythonhosted.org/packages/3d/67/928e8f0d5c7fd32f32fb5caf92b186a1b3826dbaf5a294e13a976d6c38b6/numpy-2.0.1-cp311-cp311-win_amd64.whl.metadata
Downloading numpy-2.0.1-cp311-cp311-win_amd64.whl.metadata (60 kB)
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Collecting webrtcvad>=2.0.10 (from -r requirements_demos.txt (line 3))
Downloading webrtcvad-2.0.10.tar.gz (66 kB)
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Installing build dependencies ... done
Getting requirements to build wheel ... done
Preparing metadata (pyproject.toml) ... done
Collecting torch>=1.0.1 (from -r requirements_demos.txt (line 4))
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Collecting typing (from -r requirements_demos.txt (line 6))
Downloading typing-3.7.4.3.tar.gz (78 kB)
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Installing build dependencies ... done
Getting requirements to build wheel ... done
Preparing metadata (pyproject.toml) ... done
Collecting matplotlib>=3.0.0 (from -r requirements_demos.txt (line 7))
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Collecting umap-learn (from -r requirements_demos.txt (line 10))
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Building wheels for collected packages: webrtcvad, typing
Building wheel for webrtcvad (pyproject.toml) ... done
Created wheel for webrtcvad: filename=webrtcvad-2.0.10-cp311-cp311-win_amd64.whl size=18863 sha256=d79693f1272d061ac7cc4825bedd2a03093e233f511c657198f80cd8a025fb83
Stored in directory: C:\Users\Bradley\AppData\Local\Temp\pip-ephem-wheel-cache-9bdci5tl\wheels\94\65\3f\292d0b656be33d1c801831201c74b5f68f41a2ae465ff2ee2f
Building wheel for typing (pyproject.toml) ... done
Created wheel for typing: filename=typing-3.7.4.3-py3-none-any.whl size=26327 sha256=f3de29afd5528526c1a6ffb3f11c732012dcaf2995a0ace40c7be80b52fc0ee5
Stored in directory: C:\Users\Bradley\AppData\Local\Temp\pip-ephem-wheel-cache-9bdci5tl\wheels\9d\67\2f\53e3ef32ec48d11d7d60245255e2d71e908201d20c880c08ee
Successfully built webrtcvad typing
Installing collected packages: webrtcvad, mpmath, urllib3, typing-extensions, typing, threadpoolctl, sympy, six, pyparsing, pycparser, platformdirs, pillow, packaging, numpy, networkx, msgpack, MarkupSafe, llvmlite, kiwisolver, joblib, idna, fsspec, fonttools, filelock, decorator, cycler, colorama, charset-normalizer, certifi, audioread, tqdm, soxr, scipy, requests, python-dateutil, numba, lazy-loader, jinja2, contourpy, CFFI, torch, soundfile, sounddevice, scikit-learn, pooch, matplotlib, pynndescent, librosa, umap-learn
Successfully installed CFFI-1.17.0 MarkupSafe-2.1.5 audioread-3.0.1 certifi-2024.7.4 charset-normalizer-3.3.2 colorama-0.4.6 contourpy-1.2.1 cycler-0.12.1 decorator-5.1.1 filelock-3.15.4 fonttools-4.53.1 fsspec-2024.6.1 idna-3.7 jinja2-3.1.4 joblib-1.4.2 kiwisolver-1.4.5 lazy-loader-0.4 librosa-0.10.2.post1 llvmlite-0.43.0 matplotlib-3.9.1.post1 mpmath-1.3.0 msgpack-1.0.8 networkx-3.3 numba-0.60.0 numpy-2.0.1 packaging-24.1 pillow-10.4.0 platformdirs-4.2.2 pooch-1.8.2 pycparser-2.22 pynndescent-0.5.13 pyparsing-3.1.2 python-dateutil-2.9.0.post0 requests-2.32.3 scikit-learn-1.5.1 scipy-1.14.0 six-1.16.0 sounddevice-0.5.0 soundfile-0.12.1 soxr-0.4.0 sympy-1.13.2 threadpoolctl-3.5.0 torch-2.4.0 tqdm-4.66.5 typing-3.7.4.3 typing-extensions-4.12.2 umap-learn-0.5.6 urllib3-2.2.2 webrtcvad-2.0.10

[notice] A new release of pip is available: 23.2.1 -> 24.2
[notice] To update, run: python.exe -m pip install --upgrade pip

(resemblyzer-env) (base) C:\Users\Bradley\Downloads\Resemblyzer-master\resembler>pip install requirements_package.txt
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
ERROR: Could not find a version that satisfies the requirement requirements_package.txt (from versions: none)
ERROR: No matching distribution found for requirements_package.txt

[notice] A new release of pip is available: 23.2.1 -> 24.2
[notice] To update, run: python.exe -m pip install --upgrade pip

(resemblyzer-env) (base) C:\Users\Bradley\Downloads\Resemblyzer-master\resembler>pip install -r requirements_package.txt

Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: librosa>=0.9.1 in c:\users\bradley\downloads\resemblyzer-master\resembler\resemblyzer-env\lib\site-packages (from -r requirements_package.txt (line 1)) (0.10.2.post1)
Requirement already satisfied: numpy>=1.20.0 in c:\users\bradley\downloads\resemblyzer-master\resembler\resemblyzer-env\lib\site-packages (from -r requirements_package.txt (line 2)) (2.0.1)
Requirement already satisfied: webrtcvad>=2.0.10 in c:\users\bradley\downloads\resemblyzer-master\resembler\resemblyzer-env\lib\site-packages (from -r requirements_package.txt (line 3)) (2.0.10)
Requirement already satisfied: torch>=1.0.1 in c:\users\bradley\downloads\resemblyzer-master\resembler\resemblyzer-env\lib\site-packages (from -r requirements_package.txt (line 4)) (2.4.0)
Requirement already satisfied: scipy>=1.2.1 in c:\users\bradley\downloads\resemblyzer-master\resembler\resemblyzer-env\lib\site-packages (from -r requirements_package.txt (line 5)) (1.14.0)
Requirement already satisfied: typing in c:\users\bradley\downloads\resemblyzer-master\resembler\resemblyzer-env\lib\site-packages (from -r requirements_package.txt (line 6)) (3.7.4.3)
Requirement already satisfied: audioread>=2.1.9 in c:\users\bradley\downloads\resemblyzer-master\resembler\resemblyzer-env\lib\site-packages (from librosa>=0.9.1->-r requirements_package.txt (line 1)) (3.0.1)
Requirement already satisfied: scikit-learn>=0.20.0 in c:\users\bradley\downloads\resemblyzer-master\resembler\resemblyzer-env\lib\site-packages (from librosa>=0.9.1->-r requirements_package.txt (line 1)) (1.5.1)
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[notice] A new release of pip is available: 23.2.1 -> 24.2
[notice] To update, run: python.exe -m pip install --upgrade pip

(resemblyzer-env) (base) C:\Users\Bradley\Downloads\Resemblyzer-master\resembler>python demo01_similarity.py

A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.0.1 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\Bradley\Downloads\Resemblyzer-master\resembler\demo01_similarity.py", line 1, in
from resemblyzer import preprocess_wav, VoiceEncoder
File "C:\Users\Bradley\Downloads\Resemblyzer-master\resembler\resemblyzer_init_.py", line 6, in
from resemblyzer.voice_encoder import VoiceEncoder
File "C:\Users\Bradley\Downloads\Resemblyzer-master\resembler\resemblyzer\voice_encoder.py", line 5, in
from torch import nn
File "C:\Users\Bradley\Downloads\Resemblyzer-master\resembler\resemblyzer-env\Lib\site-packages\torch_init_.py", line 2120, in
from torch.higher_order_ops import cond
File "C:\Users\Bradley\Downloads\Resemblyzer-master\resembler\resemblyzer-env\Lib\site-packages\torch_higher_order_ops_init.py", line 1, in
from .cond import cond
File "C:\Users\Bradley\Downloads\Resemblyzer-master\resembler\resemblyzer-env\Lib\site-packages\torch_higher_order_ops\cond.py", line 5, in
import torch._subclasses.functional_tensor
File "C:\Users\Bradley\Downloads\Resemblyzer-master\resembler\resemblyzer-env\Lib\site-packages\torch_subclasses\functional_tensor.py", line 42, in
class FunctionalTensor(torch.Tensor):
File "C:\Users\Bradley\Downloads\Resemblyzer-master\resembler\resemblyzer-env\Lib\site-packages\torch_subclasses\functional_tensor.py", line 258, in FunctionalTensor
cpu = _conversion_method_template(device=torch.device("cpu"))
C:\Users\Bradley\Downloads\Resemblyzer-master\resembler\resemblyzer-env\Lib\site-packages\torch_subclasses\functional_tensor.py:258: UserWarning: Failed to initialize NumPy: _ARRAY_API not found (Triggered internally at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\utils\tensor_numpy.cpp:84.)
cpu = _conversion_method_template(device=torch.device("cpu"))
C:\Users\Bradley\Downloads\Resemblyzer-master\resembler\resemblyzer\voice_encoder.py:43: FutureWarning: You are using torch.load with weights_only=False (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for weights_only will be flipped to True. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via torch.serialization.add_safe_globals. We recommend you start setting weights_only=True for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(weights_fpath, map_location="cpu")
Loaded the voice encoder model on cpu in 0.01 seconds.
Preprocessing wavs: 100%|█████████████████████████████████████████████████████████| 100/100 [00:12<00:00, 8.02wavs/s]
Traceback (most recent call last):
File "C:\Users\Bradley\Downloads\Resemblyzer-master\resembler\demo01_similarity.py", line 37, in
embeds_a = np.array([encoder.embed_utterance(wavs[0]) for wavs in speaker_wavs.values()])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Bradley\Downloads\Resemblyzer-master\resembler\demo01_similarity.py", line 37, in
embeds_a = np.array([encoder.embed_utterance(wavs[0]) for wavs in speaker_wavs.values()])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Bradley\Downloads\Resemblyzer-master\resembler\resemblyzer\voice_encoder.py", line 155, in embed_utterance
mels = torch.from_numpy(mels).to(self.device)
^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: Numpy is not available

(resemblyzer-env) (base) C:\Users\Bradley\Downloads\Resemblyzer-master\resembler>pip install Numpy
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: Numpy in c:\users\bradley\downloads\resemblyzer-master\resembler\resemblyzer-env\lib\site-packages (2.0.1)

(resemblyzer-env) (base) C:\Users\Bradley\Downloads\Resemblyzer-master\resembler>
any help would be appreciated :)
i saw this in the code however so maybe this will give leads: A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.0.1 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'.

[natashafreda]

did u fix this ? i hve the same problem as u