ryefoxlime
commited on
Commit
•
dca99f4
1
Parent(s):
892da85
updated readme and required libs
Browse files- README.md +35 -0
- cuda_test.py +7 -0
- hello.py +0 -6
- pyproject.toml +21 -2
- requirements.txt +0 -131
- uv.lock +616 -0
README.md
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# TADBot
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## Overview
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TADBot is small language model that is trained on the <input_data_set_name> dataset. It is a fine-tuned version of the Gemma 2 2B, which is a small language model with 2 billion parameters. TADBot is designed to assist people deal with mental problems and offer them advice based on the context of the conversation. It is not intended to replace professional mental health care, but rather to provide a supportive and empathetic resource for those who may be struggling with mental health issues. TADBot is still in development and is not yet available for public use.
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## Technology used
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- Gemma 2 2B: A small language model with 2 billion parameters that TADBot is fine-tuned on.
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- <input_data_set_name>: The dataset used to train TADBot on mental health and advice-giving tasks.
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- Hugging Face Transformers: A library used to fine-tune the Gemma 2 2B model on the <input_data_set_name> dataset.
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- PyTorch: A library used for training and fine-tuning the language model.
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- Flask: A library used to create a server for TADBot.
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- Raspberry Pi: A small, low-cost computer used to host Test to Speech and Speech To Text models and TADBot server.
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- FER: A deep learning model used to detect emotions from faces in real-time using a webcam.
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# Features
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# How It Works
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## Model
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# Implementation
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## Deployment Instructions
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To deploy TADBot locally, you will need to follow these steps:
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- create a virtual environment(preferrablly python 3.11.10) with pip-tools or uv installed and install the required dependencies
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```
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pip sync requirements.txt #if u are using pip-tools
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pip install -r requirements.txt #if u are using pip
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uv sync #if u are using uv
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```
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cuda_test.py
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def main():
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import torch
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print(torch.cuda.is_available())
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print(torch.cuda.get_device_name())
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if __name__ == '__main__':
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main()
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hello.py
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def main():
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print("Hello from tadbot!")
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if __name__ == "__main__":
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main()
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pyproject.toml
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[project]
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name = "tadbot"
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version = "0.1.0"
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description = "
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readme = "README.md"
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requires-python = ">=3.11"
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dependencies = [
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"huggingface-hub",
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]
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[project]
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name = "tadbot"
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version = "0.1.0"
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description = "Add your description here"
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readme = "README.md"
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requires-python = ">=3.11"
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dependencies = [
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"huggingface-hub>=0.26.2",
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"torch==2.5.1+cu124",
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"torchaudio==2.5.1+cu124",
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"torchvision==0.20.1+cu124",
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]
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[tool.uv.sources]
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torch = {index = "pytorch"}
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torchaudio = {index = "pytorch"}
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torchvision = {index = "pytorch"}
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cudf-cu12 = {index = "pandas_cuda"}
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[[tool.uv.index]]
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name = "pytorch"
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url = "https://download.pytorch.org/whl/cu124"
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explicit = true
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[[tool.uv.index]]
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name = "pandas_cuda"
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url = "https://pypi.nvidia.com"
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explicit = true
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requirements.txt
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-
appdirs==1.4.4
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asgiref==3.7.2
|
3 |
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attr==0.3.1
|
4 |
-
azure-core==1.29.5
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5 |
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azure-storage-blob==12.18.3
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6 |
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bleach==5.0.1
|
7 |
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boto==2.49.0
|
8 |
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boto3==1.16.63
|
9 |
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botocore==1.19.63
|
10 |
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boxing==0.1.4
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Brotli @ file:///Users/runner/miniforge3/conda-bld/brotli-split_1695989934239/work
|
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certifi==2023.7.22
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13 |
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cffi==1.16.0
|
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charset-normalizer @ file:///home/conda/feedstock_root/build_artifacts/charset-normalizer_1698833585322/work
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15 |
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click==8.1.7
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16 |
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colorama==0.4.6
|
17 |
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contourpy @ file:///Users/runner/miniforge3/conda-bld/contourpy_1699041448398/work
|
18 |
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coreapi==2.3.3
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coreschema==0.0.4
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20 |
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cryptography==41.0.5
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cycler @ file:///home/conda/feedstock_root/build_artifacts/cycler_1696677705766/work
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defusedxml==0.7.1
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Django==3.2.20
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24 |
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django-annoying==0.10.6
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25 |
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django-cors-headers==3.6.0
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26 |
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django-debug-toolbar==3.2.1
|
27 |
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django-environ==0.10.0
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28 |
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django-extensions==3.1.0
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29 |
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django-filter==2.4.0
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30 |
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django-model-utils==4.1.1
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31 |
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django-ranged-fileresponse==0.1.2
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32 |
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django-rest-swagger==2.2.0
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33 |
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django-rq==2.5.1
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django-storages==1.12.3
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django-user-agents==0.4.0
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djangorestframework==3.13.1
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drf-dynamic-fields==0.3.0
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38 |
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drf-flex-fields==0.9.5
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39 |
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drf-generators==0.3.0
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40 |
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drf-yasg==1.20.0
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41 |
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expiringdict==1.2.2
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42 |
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filelock @ file:///home/conda/feedstock_root/build_artifacts/filelock_1698714947081/work
|
43 |
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fonttools @ file:///Users/runner/miniforge3/conda-bld/fonttools_1699023568720/work
|
44 |
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fsspec==2023.10.0
|
45 |
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gmpy2 @ file:///Users/runner/miniforge3/conda-bld/gmpy2_1666808749046/work
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46 |
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google-api-core==2.11.0
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47 |
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google-cloud-appengine-logging==1.1.0
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48 |
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google-cloud-audit-log==0.2.0
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49 |
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google-cloud-core==2.3.2
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50 |
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google-cloud-logging==2.7.1
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51 |
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google-cloud-storage==2.5.0
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52 |
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google-crc32c==1.5.0
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53 |
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google-resumable-media==2.3.3
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54 |
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googleapis-common-protos==1.56.4
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55 |
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grpc-google-iam-v1==0.12.4
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grpcio-status==1.59.2
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57 |
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htmlmin==0.1.12
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58 |
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huggingface-hub==0.18.0
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59 |
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idna @ file:///home/conda/feedstock_root/build_artifacts/idna_1663625384323/work
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60 |
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ijson==3.2.3
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inflection==0.5.1
|
62 |
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isodate==0.6.1
|
63 |
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itypes==1.2.0
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64 |
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Jinja2 @ file:///home/conda/feedstock_root/build_artifacts/jinja2_1654302431367/work
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65 |
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jmespath==0.10.0
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joblib==1.3.2
|
67 |
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jsonschema==3.2.0
|
68 |
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kiwisolver @ file:///Users/runner/miniforge3/conda-bld/kiwisolver_1695380058985/work
|
69 |
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label-studio==1.8.2.post1
|
70 |
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label-studio-converter==0.0.54rc0
|
71 |
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label-studio-tools==0.0.3
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launchdarkly-server-sdk==7.5.0
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73 |
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lockfile==0.12.2
|
74 |
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lxml==4.9.3
|
75 |
-
MarkupSafe @ file:///Users/runner/miniforge3/conda-bld/markupsafe_1695367660391/work
|
76 |
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matplotlib @ file:///Users/runner/miniforge3/conda-bld/matplotlib-suite_1698868590489/work
|
77 |
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mpmath @ file:///home/conda/feedstock_root/build_artifacts/mpmath_1678228039184/work
|
78 |
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munkres==1.1.4
|
79 |
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networkx @ file:///home/conda/feedstock_root/build_artifacts/networkx_1698504735452/work
|
80 |
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nltk==3.6.7
|
81 |
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numpy @ file:///Users/runner/miniforge3/conda-bld/numpy_1694920094885/work/dist/numpy-1.26.0-cp311-cp311-macosx_11_0_arm64.whl#sha256=6909902123b8421906e90ad77fb0041d9eb2d95bbdc29f3d09c7d244b0e0e5a5
|
82 |
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openapi-codec==1.3.2
|
83 |
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ordered-set==4.0.2
|
84 |
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packaging @ file:///home/conda/feedstock_root/build_artifacts/packaging_1696202382185/work
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85 |
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pandas==2.1.2
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86 |
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Pillow @ file:///Users/runner/miniforge3/conda-bld/pillow_1697423665652/work
|
87 |
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proto-plus==1.22.3
|
88 |
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psycopg2-binary==2.9.6
|
89 |
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pycparser==2.21
|
90 |
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pyparsing @ file:///home/conda/feedstock_root/build_artifacts/pyparsing_1690737849915/work
|
91 |
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pyRFC3339==1.1
|
92 |
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pyrsistent==0.20.0
|
93 |
-
PySocks @ file:///home/conda/feedstock_root/build_artifacts/pysocks_1661604839144/work
|
94 |
-
python-dateutil @ file:///home/conda/feedstock_root/build_artifacts/python-dateutil_1626286286081/work
|
95 |
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python-json-logger==2.0.4
|
96 |
-
pytz==2023.3.post1
|
97 |
-
PyYAML @ file:///Users/runner/miniforge3/conda-bld/pyyaml_1695373486380/work
|
98 |
-
redis==3.5.3
|
99 |
-
requests @ file:///home/conda/feedstock_root/build_artifacts/requests_1684774241324/work
|
100 |
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rq==1.10.1
|
101 |
-
ruamel.yaml==0.18.5
|
102 |
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ruamel.yaml.clib==0.2.8
|
103 |
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rules==2.2
|
104 |
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s3transfer==0.3.7
|
105 |
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safetensors==0.4.0
|
106 |
-
scikit-learn==1.3.2
|
107 |
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scipy==1.11.3
|
108 |
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semver==2.13.0
|
109 |
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sentry-sdk==1.34.0
|
110 |
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simplejson==3.19.2
|
111 |
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six @ file:///home/conda/feedstock_root/build_artifacts/six_1620240208055/work
|
112 |
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sqlparse==0.4.4
|
113 |
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sympy @ file:///home/conda/feedstock_root/build_artifacts/sympy_1684180540116/work
|
114 |
-
thop==0.1.1.post2209072238
|
115 |
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threadpoolctl==3.2.0
|
116 |
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timm==0.9.10
|
117 |
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torch==2.1.0
|
118 |
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torchaudio==2.1.0
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119 |
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torchsampler==0.1.2
|
120 |
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torchvision==0.16.0
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121 |
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tornado @ file:///Users/runner/miniforge3/conda-bld/tornado_1695373481350/work
|
122 |
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tqdm==4.66.1
|
123 |
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typing_extensions @ file:///home/conda/feedstock_root/build_artifacts/typing_extensions_1695040754690/work
|
124 |
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tzdata @ file:///home/conda/feedstock_root/build_artifacts/python-tzdata_1680081134351/work
|
125 |
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ua-parser==0.18.0
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126 |
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ujson==5.8.0
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127 |
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uritemplate==4.1.1
|
128 |
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urllib3 @ file:///home/conda/feedstock_root/build_artifacts/urllib3_1697720414277/work
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129 |
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user-agents==2.2.0
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130 |
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webencodings==0.5.1
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131 |
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xmljson==0.2.0
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uv.lock
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version = 1
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requires-python = ">=3.11"
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