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Browse files- README.md +3 -3
- app.py +149 -0
- requirements.txt +78 -0
README.md
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---
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title: Foqa Validation
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sdk: gradio
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sdk_version: 4.28.3
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app_file: app.py
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---
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title: Foqa Validation
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emoji: ⚡
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colorFrom: yellow
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colorTo: gray
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sdk: gradio
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sdk_version: 4.28.3
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app_file: app.py
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app.py
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"""Gradio app to validate examples of the FoQA dataset."""
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from functools import partial
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import os
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from typing import Generator
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import gradio as gr
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from datasets import Dataset, load_dataset
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import logging
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import pandas as pd
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import os
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from dotenv import load_dotenv
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load_dotenv()
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger("foqa")
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# Load the FoQA dataset in the global scope, as it is used in multiple functions
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foqa = load_dataset(
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"alexandrainst/foqa", split="train", token=os.getenv("HF_HUB_TOKEN")
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)
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assert isinstance(foqa, Dataset)
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df = foqa.to_pandas()
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assert isinstance(df, pd.DataFrame)
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def main():
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def non_validated_samples() -> Generator[tuple[str, str, str], None, None]:
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"""Iterate over non-validated samples in the FoQA dataset.
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Yields:
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A tuple (idx, question, answer) of a non-validated sample.
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"""
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for idx, sample in df.iterrows():
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if sample.validation is None:
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yield str(idx), sample.question, sample.answers["text"][0]
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itr = non_validated_samples()
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idx, question, answer = next(itr)
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with gr.Blocks(theme="monochrome", title="FoQA validation") as demo:
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gr.Markdown("""
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# FoQA Validation
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This app automatically fetches examples from the Faroese Question Answering
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dataset (FoQA), allowing you to annotate whether the question and answer
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are correct Faroese or not.
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""")
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with gr.Row():
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with gr.Column():
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gr.Markdown("### Sample ID")
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idx_box = gr.Markdown(value=idx)
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gr.Markdown("### Question")
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question_box = gr.Markdown(value=question)
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gr.Markdown("### Answer")
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answer_box = gr.Markdown(value=answer)
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with gr.Column():
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correct_btn = gr.Button(value="Correct")
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incorrect_btn = gr.Button(value="Incorrect")
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save_results_btn = gr.Button(value="Save results")
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correct_btn.click(
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fn=partial(assign_correct, itr=itr),
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inputs=[idx_box, question_box, answer_box],
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outputs=[idx_box, question_box, answer_box],
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)
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incorrect_btn.click(
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fn=partial(assign_incorrect, itr=itr),
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inputs=[idx_box, question_box, answer_box],
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outputs=[idx_box, question_box, answer_box],
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)
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save_results_btn.click(fn=partial(save_results))
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auth = [
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("annika", os.environ["ANNIKA_PASSWORD"]),
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("admin", os.environ["ADMIN_PASSWORD"]),
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]
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demo.launch(share=True, auth=auth)
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def save_results() -> None:
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"""Update the FoQA dataset with the validation status of a sample."""
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logger.info("Saving results...")
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gr.Info(message="Saving results...")
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Dataset.from_pandas(df, preserve_index=False).push_to_hub(
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repo_id="alexandrainst/foqa", token=os.getenv("HF_HUB_TOKEN")
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)
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gr.Info(message="Saved results!")
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logger.info("Saved results.")
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def assign_correct(
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idx: str, question: str, answer: str, itr: Generator
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) -> tuple[gr.Markdown, gr.Markdown, gr.Markdown]:
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"""Assign the question and answer as correct.
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Args:
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idx:
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The index of the sample to be assigned as correct.
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question:
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The question to be assigned as correct.
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answer:
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The answer to be assigned as correct.
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itr:
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The iterator over non-validated samples.
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Returns:
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The updated textboxes.
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"""
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gr.Info(message="Assigned sample as correct")
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logger.info(f"Assigned sample as correct: {question} - {answer}")
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df.iloc[int(idx)].validation = "correct"
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idx, question, answer = next(itr)
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return (
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gr.Markdown(value=idx), gr.Markdown(value=question), gr.Markdown(value=answer)
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)
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def assign_incorrect(
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idx: str, question: str, answer: str, itr: Generator
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) -> tuple[gr.Markdown, gr.Markdown, gr.Markdown]:
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"""Assign the question and answer as incorrect.
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Args:
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idx:
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The index of the sample to be assigned as incorrect.
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question:
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The question to be assigned as incorrect.
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answer:
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The answer to be assigned as incorrect.
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itr:
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The iterator over non-validated samples.
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Returns:
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The updated textboxes.
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"""
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gr.Info(message="Assigned sample as incorrect")
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logger.info(f"Assigned sample as incorrect: {question} - {answer}")
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df.iloc[int(idx)].validation = "incorrect"
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idx, question, answer = next(itr)
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return (
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gr.Markdown(value=idx), gr.Markdown(value=question), gr.Markdown(value=answer)
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)
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if __name__ == "__main__":
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main()
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requirements.txt
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aiofiles==23.2.1
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aiohttp==3.9.5
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aiosignal==1.3.1
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altair==5.3.0
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annotated-types==0.6.0
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anyio==4.3.0
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async-timeout==4.0.3
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attrs==23.2.0
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certifi==2024.2.2
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charset-normalizer==3.3.2
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click==8.1.7
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contourpy==1.2.1
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cycler==0.12.1
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datasets==2.19.0
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dill==0.3.8
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exceptiongroup==1.2.1
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fastapi==0.110.2
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ffmpy==0.3.2
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filelock==3.13.4
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fonttools==4.51.0
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frozenlist==1.4.1
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fsspec==2024.3.1
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gradio==4.28.3
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gradio_client==0.16.0
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h11==0.14.0
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httpcore==1.0.5
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httpx==0.27.0
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huggingface-hub==0.22.2
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idna==3.7
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importlib_resources==6.4.0
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Jinja2==3.1.3
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jsonschema==4.21.1
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jsonschema-specifications==2023.12.1
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kiwisolver==1.4.5
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markdown-it-py==3.0.0
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MarkupSafe==2.1.5
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matplotlib==3.8.4
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mdurl==0.1.2
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multidict==6.0.5
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multiprocess==0.70.16
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numpy==1.26.4
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orjson==3.10.1
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packaging==24.0
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pandas==2.2.2
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pillow==10.3.0
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pyarrow==16.0.0
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pyarrow-hotfix==0.6
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pydantic==2.7.1
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pydantic_core==2.18.2
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pydub==0.25.1
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Pygments==2.17.2
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pyparsing==3.1.2
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python-dateutil==2.9.0.post0
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python-dotenv==1.0.1
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python-multipart==0.0.9
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pytz==2024.1
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PyYAML==6.0.1
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referencing==0.35.0
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requests==2.31.0
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rich==13.7.1
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rpds-py==0.18.0
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ruff==0.4.2
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semantic-version==2.10.0
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shellingham==1.5.4
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six==1.16.0
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sniffio==1.3.1
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starlette==0.37.2
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tomlkit==0.12.0
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toolz==0.12.1
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tqdm==4.66.2
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typer==0.12.3
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typing_extensions==4.11.0
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tzdata==2024.1
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urllib3==2.2.1
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uvicorn==0.29.0
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websockets==11.0.3
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xxhash==3.4.1
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yarl==1.9.4
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