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Zlovoblachko
commited on
Commit
•
da53684
1
Parent(s):
4299211
Add application file
Browse files- app.py +57 -0
- requirements.txt +174 -0
app.py
ADDED
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import spacy
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from spacy import displacy
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from transformers import T5ForConditionalGeneration, T5Tokenizer
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import gradio as gr
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import torch
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import difflib
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import nltk
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nltk.download("punkt")
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from nltk.tokenize import sent_tokenize
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nlp = spacy.load("en_test_L1_model")
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model = T5ForConditionalGeneration.from_pretrained("Unbabel/gec-t5_small")
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tokenizer = T5Tokenizer.from_pretrained('t5-small')
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def text_analysis(text):
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sentences = sent_tokenize(text)
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processed_sentences = []
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highlighted_sentences = []
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for sentence in sentences:
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doc = nlp(sentence)
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html_highlight = displacy.render(doc, style="span", options = {"compact": True})
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html_highlight = (
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"<div style='max-width:100%; max-height:360px; overflow:auto'>"
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+ html_highlight
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+ "</div>"
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)
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processed_sentences.append(html_highlight)
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inputs = tokenizer("gec: " + sentence, return_tensors="pt")
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with torch.no_grad():
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outputs = model.generate(**inputs, max_length=128, num_beams=4, early_stopping=True)
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corrected_sentence = tokenizer.decode(outputs[0], skip_special_tokens=True)
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diff = difflib.ndiff(sentence.split(), corrected_sentence.split())
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highlighted_output = ""
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for word in diff:
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if word.startswith("+ "):
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highlighted_output += f"<span style='color: green; font-weight: bold;'>{word[2:]}</span> "
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elif word.startswith("- "):
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highlighted_output += f"<span style='color: red; text-decoration: line-through;'>{word[2:]}</span> "
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else:
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highlighted_output += word[2:] + " "
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highlighted_sentences.append(f"<p><b>Corrected:</b> {highlighted_output}</p>")
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return "<hr>".join(processed_sentences) + "<hr>", "<hr>".join(highlighted_sentences)
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demo = gr.Interface(
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text_analysis,
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gr.Textbox(placeholder="Enter sentence here..."),
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["html", "html"],
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examples=[
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["Then there was a sharp decrease so by 2013 the worldwide outlay accounted for 214 billions. Moreother there is a huge difference between part of 60+ years people. It is clearly seen that in Yemen the share of children before 14 years tend to become less - from 50,1% in 2000 to 37% in 2050."],
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["In post - school 70 percent were the same men a postgraduate diploma and women undergraduate diploma. Parents can try to know friends of their child, so they will know what they are doing and who they are."],
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],
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)
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demo.launch()
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requirements.txt
ADDED
@@ -0,0 +1,174 @@
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aiofiles==23.2.1
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altair==5.4.1
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anyio==4.6.2.post1
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argon2-cffi==23.1.0
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argon2-cffi-bindings==21.2.0
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arrow==1.3.0
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asttokens==2.4.1
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async-lru==2.0.4
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attrs==24.2.0
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babel==2.16.0
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beautifulsoup4==4.12.3
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bleach==6.2.0
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blis==0.7.11
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catalogue==2.0.10
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certifi==2024.8.30
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cffi==1.17.1
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charset-normalizer==3.4.0
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click==8.1.7
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comm==0.2.2
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confection==0.1.5
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contourpy==1.3.0
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cycler==0.12.1
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cymem==2.0.8
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debugpy==1.8.7
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decorator==5.1.1
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defusedxml==0.7.1
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en_test_L1_model @ https://huggingface.co/Zlovoblachko/en_test_L1_model/resolve/main/en_test_L1_model-any-py3-none-any.whl
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exceptiongroup==1.2.2
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executing==2.1.0
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fastapi==0.115.4
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fastjsonschema==2.20.0
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ffmpy==0.4.0
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filelock==3.16.1
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fonttools==4.54.1
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fqdn==1.5.1
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fsspec==2024.10.0
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gradio==3.41.0
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gradio_client==0.5.0
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h11==0.14.0
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httpcore==1.0.6
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httpx==0.27.2
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huggingface-hub==0.26.2
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idna==3.10
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importlib_resources==6.4.5
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ipykernel==6.29.5
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ipython==8.29.0
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ipywidgets==8.1.5
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isoduration==20.11.0
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jedi==0.19.1
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Jinja2==3.1.4
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joblib==1.4.2
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json5==0.9.25
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jsonpointer==3.0.0
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jsonschema==4.23.0
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jsonschema-specifications==2024.10.1
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jupyter==1.1.1
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jupyter-console==6.6.3
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jupyter-events==0.10.0
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jupyter-lsp==2.2.5
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jupyter_client==8.6.3
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jupyter_core==5.7.2
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jupyter_server==2.14.2
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jupyter_server_terminals==0.5.3
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jupyterlab==4.2.5
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jupyterlab_pygments==0.3.0
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jupyterlab_server==2.27.3
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jupyterlab_widgets==3.0.13
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kiwisolver==1.4.7
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langcodes==3.4.1
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language_data==1.2.0
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marisa-trie==1.2.1
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MarkupSafe==2.1.5
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matplotlib==3.9.2
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matplotlib-inline==0.1.7
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mistune==3.0.2
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mpmath==1.3.0
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murmurhash==1.0.10
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narwhals==1.13.1
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nbclient==0.10.0
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nbconvert==7.16.4
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nbformat==5.10.4
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nest-asyncio==1.6.0
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networkx==3.4.2
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nltk==3.9.1
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notebook==7.2.2
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notebook_shim==0.2.4
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numpy==1.26.4
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nvidia-cublas-cu12==12.4.5.8
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nvidia-cuda-cupti-cu12==12.4.127
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nvidia-cuda-nvrtc-cu12==12.4.127
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nvidia-cuda-runtime-cu12==12.4.127
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nvidia-cudnn-cu12==9.1.0.70
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nvidia-cufft-cu12==11.2.1.3
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nvidia-curand-cu12==10.3.5.147
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nvidia-cusolver-cu12==11.6.1.9
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nvidia-cusparse-cu12==12.3.1.170
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nvidia-nccl-cu12==2.21.5
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nvidia-nvjitlink-cu12==12.4.127
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nvidia-nvtx-cu12==12.4.127
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orjson==3.10.11
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overrides==7.7.0
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packaging==24.1
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pandas==2.2.3
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pandocfilters==1.5.1
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parso==0.8.4
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pathlib_abc==0.1.1
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pathy==0.11.0
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pexpect==4.9.0
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pillow==10.4.0
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platformdirs==4.3.6
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preshed==3.0.9
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prometheus_client==0.21.0
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prompt_toolkit==3.0.48
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psutil==6.1.0
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ptyprocess==0.7.0
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pure_eval==0.2.3
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pycparser==2.22
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pydantic==1.10.18
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pydub==0.25.1
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Pygments==2.18.0
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pyparsing==3.2.0
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python-dateutil==2.9.0.post0
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python-json-logger==2.0.7
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python-multipart==0.0.17
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pytz==2024.2
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PyYAML==6.0.2
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pyzmq==26.2.0
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referencing==0.35.1
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regex==2024.9.11
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requests==2.32.3
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rfc3339-validator==0.1.4
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rfc3986-validator==0.1.1
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rpds-py==0.20.1
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semantic-version==2.10.0
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Send2Trash==1.8.3
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sentencepiece==0.2.0
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six==1.16.0
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138 |
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smart-open==6.4.0
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sniffio==1.3.1
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140 |
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soupsieve==2.6
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spacy==3.4.4
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spacy-alignments==0.9.1
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spacy-legacy==3.0.12
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144 |
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spacy-loggers==1.0.5
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145 |
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spacy-transformers==1.2.1
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146 |
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srsly==2.4.8
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147 |
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stack-data==0.6.3
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148 |
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starlette==0.41.2
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149 |
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sympy==1.13.1
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terminado==0.18.1
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151 |
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thinc==8.1.12
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152 |
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tinycss2==1.4.0
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153 |
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tokenizers==0.13.3
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tomli==2.0.2
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torch==2.5.1
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156 |
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tornado==6.4.1
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157 |
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tqdm==4.66.6
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158 |
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traitlets==5.14.3
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159 |
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transformers==4.26.1
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triton==3.1.0
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typer==0.7.0
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162 |
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types-python-dateutil==2.9.0.20241003
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163 |
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typing_extensions==4.12.2
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164 |
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tzdata==2024.2
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165 |
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uri-template==1.3.0
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166 |
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urllib3==2.2.3
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167 |
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uvicorn==0.32.0
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168 |
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wasabi==0.10.1
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169 |
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wcwidth==0.2.13
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170 |
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webcolors==24.8.0
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171 |
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webencodings==0.5.1
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172 |
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websocket-client==1.8.0
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173 |
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websockets==11.0.3
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widgetsnbextension==4.0.13
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