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[UPDATED requirements.txt with verison numbers]
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Dec 13, 2023
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max_tokens=1000, | ||
) | ||
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## Initialize the workflow | ||
agent = Agent( | ||
llm=llm, | ||
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[tool.poetry] | ||
name = "swarms" | ||
version = "2.8.0" | ||
version = "2.8.1" | ||
description = "Swarms - Pytorch" | ||
license = "MIT" | ||
authors = ["Kye Gomez <[email protected]>"] | ||
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torch==2.1.1 | ||
transformers>2.10 | ||
pandas | ||
langchain | ||
nest_asyncio | ||
langchain-experimental | ||
playwright | ||
transformers>2.10==4.35.0 | ||
pandas==1.5.3 | ||
langchain==0.0.333 | ||
nest_asyncio==1.5.6 | ||
langchain-experimental==0.0.10 | ||
playwright==1.34.0 | ||
wget==3.2 | ||
simpleaichat | ||
httpx | ||
open_clip_torch | ||
ggl | ||
beautifulsoup4 | ||
google-search-results==2.4.2 | ||
Pillow | ||
faiss-cpu | ||
simpleaichat==0.2.2 | ||
httpx==0.24.1 | ||
open_clip_torch==2.20.0 | ||
ggl==1.1.0 | ||
beautifulsoup4==4.11.2 | ||
google-search-results | ||
Pillow==9.4.0 | ||
faiss-cpu==1.7.4 | ||
openai==0.28.0 | ||
attrs | ||
datasets | ||
attrs==22.2.0 | ||
datasets==2.10.1 | ||
pydantic==1.10.12 | ||
soundfile | ||
soundfile==0.12.1 | ||
arize-phoenix | ||
weaviate-client | ||
huggingface-hub | ||
google-generativeai | ||
sentencepiece | ||
PyPDF2 | ||
accelerate | ||
weaviate-client==3.25.3 | ||
huggingface-hub==0.16.4 | ||
google-generativeai==0.3.1 | ||
sentencepiece==0.1.98 | ||
PyPDF2==3.0.1 | ||
accelerate==0.22.0 | ||
vllm | ||
chromadb | ||
tensorflow | ||
chromadb==0.4.14 | ||
tensorflow==2.12.0 | ||
optimum | ||
tiktoken | ||
tabulate | ||
tiktoken==0.4.0 | ||
tabulate==0.9.0 | ||
colored | ||
addict | ||
backoff | ||
ratelimit | ||
backoff==2.2.1 | ||
ratelimit==2.2.1 | ||
albumentations | ||
basicsr | ||
termcolor | ||
termcolor==2.2.0 | ||
controlnet-aux | ||
diffusers | ||
einops | ||
imageio | ||
opencv-python-headless | ||
imageio-ffmpeg | ||
diffusers==0.17.1 | ||
einops==0.7.0 | ||
imageio==2.25.1 | ||
opencv-python-headless==4.8.1.78 | ||
imageio-ffmpeg==0.4.9 | ||
invisible-watermark | ||
kornia | ||
safetensors | ||
numpy | ||
omegaconf | ||
open_clip_torch | ||
openai | ||
opencv-python | ||
prettytable | ||
safetensors | ||
safetensors==0.3.3 | ||
numpy==1.25.2 | ||
omegaconf==2.3.0 | ||
open_clip_torch==2.20.0 | ||
openai==0.28.0 | ||
opencv-python==4.7.0.72 | ||
prettytable==3.9.0 | ||
safetensors==0.3.3 | ||
test-tube | ||
timm | ||
timm==0.6.13 | ||
torchmetrics | ||
webdataset | ||
marshmallow | ||
marshmallow==3.19.0 | ||
yapf | ||
autopep8 | ||
cohere | ||
torchvision | ||
rich | ||
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cohere==4.24 | ||
torchvision==0.16.1 | ||
rich==13.5.2 | ||
mkdocs | ||
mkdocs-material | ||
mkdocs-glightbox | ||
pre-commit | ||
pre-commit==3.2.2 |
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import pkg_resources | ||
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def get_package_versions(requirements_path, output_path): | ||
try: | ||
with open(requirements_path, 'r') as file: | ||
requirements = file.readlines() | ||
except FileNotFoundError: | ||
print(f"Error: The file '{requirements_path}' was not found.") | ||
return | ||
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package_versions = [] | ||
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for requirement in requirements: | ||
# Skip empty lines and comments | ||
if requirement.strip() == '' or requirement.strip().startswith('#'): | ||
continue | ||
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# Extract package name | ||
package_name = requirement.split('==')[0].strip() | ||
try: | ||
version = pkg_resources.get_distribution(package_name).version | ||
package_versions.append(f"{package_name}=={version}") | ||
except pkg_resources.DistributionNotFound: | ||
package_versions.append(f"{package_name}: not installed") | ||
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with open(output_path, 'w') as file: | ||
for package_version in package_versions: | ||
file.write(package_version + '\n') | ||
print(f"Versions written to {output_path}") | ||
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# Usage | ||
get_package_versions('requirements.txt', 'installed_versions.txt') |