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Update
Browse files- .pre-commit-config.yaml +10 -14
- .python-version +1 -0
- .vscode/extensions.json +8 -0
- .vscode/settings.json +5 -14
- README.md +1 -1
- app.py +3 -4
- papers.py +7 -7
- pyproject.toml +49 -0
- requirements.txt +532 -4
- uv.lock +0 -0
.pre-commit-config.yaml
CHANGED
@@ -1,6 +1,6 @@
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repos:
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- repo: https://github.com/pre-commit/pre-commit-hooks
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-
rev:
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hooks:
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- id: check-executables-have-shebangs
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- id: check-json
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@@ -18,13 +18,15 @@ repos:
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hooks:
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- id: docformatter
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args: ["--in-place"]
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-
- repo: https://github.com/
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-
rev:
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hooks:
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-
- id:
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-
args: ["--
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- repo: https://github.com/pre-commit/mirrors-mypy
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-
rev: v1.
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hooks:
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- id: mypy
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args: ["--ignore-missing-imports"]
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@@ -35,14 +37,8 @@ repos:
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"types-PyYAML",
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"types-pytz",
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]
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-
- repo: https://github.com/psf/black
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-
rev: 24.4.0
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-
hooks:
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-
- id: black
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-
language_version: python3.10
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-
args: ["--line-length", "119"]
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- repo: https://github.com/kynan/nbstripout
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-
rev: 0.
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hooks:
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- id: nbstripout
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args:
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@@ -51,7 +47,7 @@ repos:
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"metadata.interpreter metadata.kernelspec cell.metadata.pycharm",
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]
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- repo: https://github.com/nbQA-dev/nbQA
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-
rev: 1.
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hooks:
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- id: nbqa-black
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- id: nbqa-pyupgrade
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repos:
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- repo: https://github.com/pre-commit/pre-commit-hooks
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+
rev: v5.0.0
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hooks:
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- id: check-executables-have-shebangs
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- id: check-json
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hooks:
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- id: docformatter
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args: ["--in-place"]
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+
- repo: https://github.com/astral-sh/ruff-pre-commit
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+
rev: v0.8.4
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hooks:
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+
- id: ruff
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+
args: ["--fix"]
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+
- id: ruff-format
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+
args: ["--line-length", "119"]
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- repo: https://github.com/pre-commit/mirrors-mypy
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+
rev: v1.14.0
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hooks:
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- id: mypy
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args: ["--ignore-missing-imports"]
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"types-PyYAML",
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"types-pytz",
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]
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- repo: https://github.com/kynan/nbstripout
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+
rev: 0.8.1
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hooks:
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- id: nbstripout
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args:
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"metadata.interpreter metadata.kernelspec cell.metadata.pycharm",
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]
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- repo: https://github.com/nbQA-dev/nbQA
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+
rev: 1.9.1
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hooks:
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- id: nbqa-black
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- id: nbqa-pyupgrade
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.python-version
ADDED
@@ -0,0 +1 @@
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+
3.10
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.vscode/extensions.json
ADDED
@@ -0,0 +1,8 @@
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+
{
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+
"recommendations": [
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+
"ms-python.python",
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+
"charliermarsh.ruff",
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+
"streetsidesoftware.code-spell-checker",
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+
"tamasfe.even-better-toml"
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+
]
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+
}
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.vscode/settings.json
CHANGED
@@ -2,29 +2,20 @@
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"editor.formatOnSave": true,
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"files.insertFinalNewline": false,
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"[python]": {
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-
"editor.defaultFormatter": "
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"editor.formatOnType": true,
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"editor.codeActionsOnSave": {
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"source.organizeImports": "explicit"
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}
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},
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"[jupyter]": {
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"files.insertFinalNewline": false
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},
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-
"black-formatter.args": [
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-
"--line-length=119"
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-
],
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-
"isort.args": ["--profile", "black"],
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-
"flake8.args": [
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-
"--max-line-length=119"
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-
],
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-
"ruff.lint.args": [
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-
"--line-length=119"
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-
],
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"notebook.output.scrolling": true,
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"notebook.formatOnCellExecution": true,
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"notebook.formatOnSave.enabled": true,
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-
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-
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-
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}
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"editor.formatOnSave": true,
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"files.insertFinalNewline": false,
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"[python]": {
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+
"editor.defaultFormatter": "charliermarsh.ruff",
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"editor.formatOnType": true,
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"editor.codeActionsOnSave": {
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+
"source.fixAll.ruff": "explicit",
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"source.organizeImports": "explicit"
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}
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},
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"[jupyter]": {
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"files.insertFinalNewline": false
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},
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"notebook.output.scrolling": true,
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"notebook.formatOnCellExecution": true,
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"notebook.formatOnSave.enabled": true,
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+
"notebook.codeActionsOnSave": {
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+
"source.organizeImports": "explicit"
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+
}
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}
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README.md
CHANGED
@@ -4,7 +4,7 @@ emoji: 📊
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colorFrom: green
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colorTo: purple
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sdk: gradio
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-
sdk_version:
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app_file: app.py
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pinned: true
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header: mini
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colorFrom: green
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colorTo: purple
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sdk: gradio
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+
sdk_version: 5.9.1
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app_file: app.py
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pinned: true
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header: mini
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app.py
CHANGED
@@ -48,8 +48,7 @@ DEFAULT_COLUMNS = [
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def update_num_papers(df: pd.DataFrame) -> str:
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if "claimed" in df.columns:
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return f"{len(df)} / {len(paper_list.df_raw)} ({len(df[df['claimed'].str.contains('✅')])} claimed)"
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-
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-
return f"{len(df)} / {len(paper_list.df_raw)}"
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def update_df(
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@@ -73,7 +72,7 @@ def update_df(
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)
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-
with gr.Blocks(
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gr.Markdown(DESCRIPTION)
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with gr.Accordion(label="Tutorial", open=True):
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gr.Markdown(TUTORIAL)
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@@ -121,7 +120,7 @@ with gr.Blocks(css="style.css") as demo:
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type="pandas",
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row_count=(0, "dynamic"),
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interactive=False,
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-
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elem_id="table",
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wrap=True,
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)
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def update_num_papers(df: pd.DataFrame) -> str:
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if "claimed" in df.columns:
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return f"{len(df)} / {len(paper_list.df_raw)} ({len(df[df['claimed'].str.contains('✅')])} claimed)"
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+
return f"{len(df)} / {len(paper_list.df_raw)}"
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def update_df(
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)
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+
with gr.Blocks(css_paths="style.css") as demo:
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gr.Markdown(DESCRIPTION)
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with gr.Accordion(label="Tutorial", open=True):
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gr.Markdown(TUTORIAL)
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type="pandas",
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row_count=(0, "dynamic"),
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interactive=False,
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+
max_height=1000,
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elem_id="table",
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wrap=True,
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)
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papers.py
CHANGED
@@ -19,7 +19,7 @@ ABSTRACT_RETRIEVER.search("LLM")
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class PaperList:
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-
COLUMN_INFO =
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["Title", "str"],
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["Authors", "str"],
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["Type", "str"],
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@@ -33,16 +33,16 @@ class PaperList:
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["Models", "markdown"],
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["Datasets", "markdown"],
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["claimed", "markdown"],
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-
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-
def __init__(self):
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self.df_raw = self.get_df()
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self.df_prettified = self.prettify(self.df_raw)
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@staticmethod
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def get_df() -> pd.DataFrame:
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-
df =
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-
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right=datasets.load_dataset("ICLR2024/ICLR2024-paper-stats", split="train").to_pandas(),
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on="id",
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how="left",
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@@ -102,14 +102,14 @@ class PaperList:
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return pd.DataFrame(rows, columns=PaperList.get_column_names())
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@staticmethod
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-
def get_column_names():
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return list(map(operator.itemgetter(0), PaperList.COLUMN_INFO))
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def get_column_datatypes(self, column_names: list[str]) -> list[str]:
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mapping = dict(self.COLUMN_INFO)
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return [mapping[name] for name in column_names]
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-
def search(
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self,
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title_search_query: str,
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abstract_search_query: str,
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class PaperList:
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COLUMN_INFO = (
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["Title", "str"],
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["Authors", "str"],
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["Type", "str"],
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["Models", "markdown"],
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["Datasets", "markdown"],
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["claimed", "markdown"],
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+
)
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+
def __init__(self) -> None:
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self.df_raw = self.get_df()
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self.df_prettified = self.prettify(self.df_raw)
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@staticmethod
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def get_df() -> pd.DataFrame:
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+
df = datasets.load_dataset("ICLR2024/ICLR2024-papers", split="train").to_pandas()
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+
df = df.merge(
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right=datasets.load_dataset("ICLR2024/ICLR2024-paper-stats", split="train").to_pandas(),
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on="id",
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how="left",
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return pd.DataFrame(rows, columns=PaperList.get_column_names())
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@staticmethod
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+
def get_column_names() -> list[str]:
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return list(map(operator.itemgetter(0), PaperList.COLUMN_INFO))
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def get_column_datatypes(self, column_names: list[str]) -> list[str]:
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mapping = dict(self.COLUMN_INFO)
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return [mapping[name] for name in column_names]
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+
def search( # noqa: C901
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self,
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title_search_query: str,
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abstract_search_query: str,
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pyproject.toml
ADDED
@@ -0,0 +1,49 @@
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[project]
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name = "iclr2024-papers"
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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 = ">=3.10"
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+
dependencies = [
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"datasets>=3.2.0",
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"gradio>=5.9.1",
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"hf-transfer>=0.1.8",
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+
"ragatouille>=0.0.8.post4",
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"setuptools>=75.6.0",
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]
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+
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[tool.ruff]
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line-length = 119
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+
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[tool.ruff.lint]
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select = ["ALL"]
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ignore = [
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"COM812", # missing-trailing-comma
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"D203", # one-blank-line-before-class
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"D213", # multi-line-summary-second-line
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"E501", # line-too-long
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"SIM117", # multiple-with-statements
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]
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extend-ignore = [
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"D100", # undocumented-public-module
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+
"D101", # undocumented-public-class
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+
"D102", # undocumented-public-method
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"D103", # undocumented-public-function
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+
"D104", # undocumented-public-package
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+
"D105", # undocumented-magic-method
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+
"D107", # undocumented-public-init
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+
"EM101", # raw-string-in-exception
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+
"FBT001", # boolean-type-hint-positional-argument
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+
"FBT002", # boolean-default-value-positional-argument
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+
"PD901", # pandas-df-variable-name
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+
"PGH003", # blanket-type-ignore
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+
"PLR0913", # too-many-arguments
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+
"PLR0915", # too-many-statements
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+
"TRY003", # raise-vanilla-args
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+
]
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+
unfixable = [
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+
"F401", # unused-import
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+
]
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+
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+
[tool.ruff.format]
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+
docstring-code-format = true
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requirements.txt
CHANGED
@@ -1,6 +1,534 @@
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-
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-
#
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-
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|
|
|
4 |
pandas==2.2.2
|
5 |
-
|
|
|
|
|
|
|
|
|
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|
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|
6 |
tqdm==4.66.4
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
1 |
+
# This file was autogenerated by uv via the following command:
|
2 |
+
# uv pip compile pyproject.toml -o requirements.txt
|
3 |
+
aiofiles==23.2.1
|
4 |
+
# via gradio
|
5 |
+
aiohappyeyeballs==2.4.4
|
6 |
+
# via aiohttp
|
7 |
+
aiohttp==3.11.11
|
8 |
+
# via
|
9 |
+
# datasets
|
10 |
+
# fsspec
|
11 |
+
# langchain
|
12 |
+
# llama-index-core
|
13 |
+
aiosignal==1.3.2
|
14 |
+
# via aiohttp
|
15 |
+
annotated-types==0.7.0
|
16 |
+
# via pydantic
|
17 |
+
anyio==4.7.0
|
18 |
+
# via
|
19 |
+
# gradio
|
20 |
+
# httpx
|
21 |
+
# openai
|
22 |
+
# starlette
|
23 |
+
async-timeout==4.0.3
|
24 |
+
# via
|
25 |
+
# aiohttp
|
26 |
+
# langchain
|
27 |
+
attrs==24.3.0
|
28 |
+
# via aiohttp
|
29 |
+
beautifulsoup4==4.12.3
|
30 |
+
# via llama-index-readers-file
|
31 |
+
bitarray==3.0.0
|
32 |
+
# via colbert-ai
|
33 |
+
blinker==1.9.0
|
34 |
+
# via flask
|
35 |
+
catalogue==2.0.10
|
36 |
+
# via srsly
|
37 |
+
certifi==2024.12.14
|
38 |
+
# via
|
39 |
+
# httpcore
|
40 |
+
# httpx
|
41 |
+
# llama-cloud
|
42 |
+
# requests
|
43 |
+
charset-normalizer==3.4.1
|
44 |
+
# via requests
|
45 |
+
click==8.1.8
|
46 |
+
# via
|
47 |
+
# flask
|
48 |
+
# llama-parse
|
49 |
+
# nltk
|
50 |
+
# typer
|
51 |
+
# uvicorn
|
52 |
+
colbert-ai==0.2.19
|
53 |
+
# via ragatouille
|
54 |
+
dataclasses-json==0.6.7
|
55 |
+
# via llama-index-core
|
56 |
+
datasets==3.2.0
|
57 |
+
# via
|
58 |
+
# iclr2024-papers (pyproject.toml)
|
59 |
+
# colbert-ai
|
60 |
+
deprecated==1.2.15
|
61 |
+
# via llama-index-core
|
62 |
+
dill==0.3.8
|
63 |
+
# via
|
64 |
+
# datasets
|
65 |
+
# multiprocess
|
66 |
+
dirtyjson==1.0.8
|
67 |
+
# via llama-index-core
|
68 |
+
distro==1.9.0
|
69 |
+
# via openai
|
70 |
+
exceptiongroup==1.2.2
|
71 |
+
# via anyio
|
72 |
+
faiss-cpu==1.9.0.post1
|
73 |
+
# via ragatouille
|
74 |
+
fast-pytorch-kmeans==0.2.0.1
|
75 |
+
# via ragatouille
|
76 |
+
fastapi==0.115.6
|
77 |
+
# via gradio
|
78 |
+
ffmpy==0.5.0
|
79 |
+
# via gradio
|
80 |
+
filelock==3.16.1
|
81 |
+
# via
|
82 |
+
# datasets
|
83 |
+
# huggingface-hub
|
84 |
+
# torch
|
85 |
+
# transformers
|
86 |
+
# triton
|
87 |
+
filetype==1.2.0
|
88 |
+
# via llama-index-core
|
89 |
+
flask==3.1.0
|
90 |
+
# via colbert-ai
|
91 |
+
frozenlist==1.5.0
|
92 |
+
# via
|
93 |
+
# aiohttp
|
94 |
+
# aiosignal
|
95 |
+
fsspec==2024.9.0
|
96 |
+
# via
|
97 |
+
# datasets
|
98 |
+
# gradio-client
|
99 |
+
# huggingface-hub
|
100 |
+
# llama-index-core
|
101 |
+
# torch
|
102 |
+
git-python==1.0.3
|
103 |
+
# via colbert-ai
|
104 |
+
gitdb==4.0.11
|
105 |
+
# via gitpython
|
106 |
+
gitpython==3.1.43
|
107 |
+
# via git-python
|
108 |
+
gradio==5.9.1
|
109 |
+
# via iclr2024-papers (pyproject.toml)
|
110 |
+
gradio-client==1.5.2
|
111 |
+
# via gradio
|
112 |
+
greenlet==3.1.1
|
113 |
+
# via sqlalchemy
|
114 |
+
h11==0.14.0
|
115 |
+
# via
|
116 |
+
# httpcore
|
117 |
+
# uvicorn
|
118 |
+
hf-transfer==0.1.8
|
119 |
+
# via iclr2024-papers (pyproject.toml)
|
120 |
+
httpcore==1.0.7
|
121 |
+
# via httpx
|
122 |
+
httpx==0.28.1
|
123 |
+
# via
|
124 |
+
# gradio
|
125 |
+
# gradio-client
|
126 |
+
# langsmith
|
127 |
+
# llama-cloud
|
128 |
+
# llama-index-core
|
129 |
+
# openai
|
130 |
+
# safehttpx
|
131 |
+
huggingface-hub==0.27.0
|
132 |
+
# via
|
133 |
+
# datasets
|
134 |
+
# gradio
|
135 |
+
# gradio-client
|
136 |
+
# sentence-transformers
|
137 |
+
# tokenizers
|
138 |
+
# transformers
|
139 |
+
idna==3.10
|
140 |
+
# via
|
141 |
+
# anyio
|
142 |
+
# httpx
|
143 |
+
# requests
|
144 |
+
# yarl
|
145 |
+
itsdangerous==2.2.0
|
146 |
+
# via flask
|
147 |
+
jinja2==3.1.5
|
148 |
+
# via
|
149 |
+
# flask
|
150 |
+
# gradio
|
151 |
+
# torch
|
152 |
+
jiter==0.8.2
|
153 |
+
# via openai
|
154 |
+
joblib==1.4.2
|
155 |
+
# via
|
156 |
+
# nltk
|
157 |
+
# scikit-learn
|
158 |
+
jsonpatch==1.33
|
159 |
+
# via langchain-core
|
160 |
+
jsonpointer==3.0.0
|
161 |
+
# via jsonpatch
|
162 |
+
langchain==0.3.13
|
163 |
+
# via ragatouille
|
164 |
+
langchain-core==0.3.28
|
165 |
+
# via
|
166 |
+
# langchain
|
167 |
+
# langchain-text-splitters
|
168 |
+
# ragatouille
|
169 |
+
langchain-text-splitters==0.3.4
|
170 |
+
# via langchain
|
171 |
+
langsmith==0.2.7
|
172 |
+
# via
|
173 |
+
# langchain
|
174 |
+
# langchain-core
|
175 |
+
llama-cloud==0.1.7
|
176 |
+
# via llama-index-indices-managed-llama-cloud
|
177 |
+
llama-index==0.12.9
|
178 |
+
# via ragatouille
|
179 |
+
llama-index-agent-openai==0.4.1
|
180 |
+
# via
|
181 |
+
# llama-index
|
182 |
+
# llama-index-program-openai
|
183 |
+
llama-index-cli==0.4.0
|
184 |
+
# via llama-index
|
185 |
+
llama-index-core==0.12.9
|
186 |
+
# via
|
187 |
+
# llama-index
|
188 |
+
# llama-index-agent-openai
|
189 |
+
# llama-index-cli
|
190 |
+
# llama-index-embeddings-openai
|
191 |
+
# llama-index-indices-managed-llama-cloud
|
192 |
+
# llama-index-llms-openai
|
193 |
+
# llama-index-multi-modal-llms-openai
|
194 |
+
# llama-index-program-openai
|
195 |
+
# llama-index-question-gen-openai
|
196 |
+
# llama-index-readers-file
|
197 |
+
# llama-index-readers-llama-parse
|
198 |
+
# llama-parse
|
199 |
+
llama-index-embeddings-openai==0.3.1
|
200 |
+
# via
|
201 |
+
# llama-index
|
202 |
+
# llama-index-cli
|
203 |
+
llama-index-indices-managed-llama-cloud==0.6.3
|
204 |
+
# via llama-index
|
205 |
+
llama-index-llms-openai==0.3.12
|
206 |
+
# via
|
207 |
+
# llama-index
|
208 |
+
# llama-index-agent-openai
|
209 |
+
# llama-index-cli
|
210 |
+
# llama-index-multi-modal-llms-openai
|
211 |
+
# llama-index-program-openai
|
212 |
+
# llama-index-question-gen-openai
|
213 |
+
llama-index-multi-modal-llms-openai==0.4.1
|
214 |
+
# via llama-index
|
215 |
+
llama-index-program-openai==0.3.1
|
216 |
+
# via
|
217 |
+
# llama-index
|
218 |
+
# llama-index-question-gen-openai
|
219 |
+
llama-index-question-gen-openai==0.3.0
|
220 |
+
# via llama-index
|
221 |
+
llama-index-readers-file==0.4.1
|
222 |
+
# via llama-index
|
223 |
+
llama-index-readers-llama-parse==0.4.0
|
224 |
+
# via llama-index
|
225 |
+
llama-parse==0.5.19
|
226 |
+
# via llama-index-readers-llama-parse
|
227 |
+
markdown-it-py==3.0.0
|
228 |
+
# via rich
|
229 |
+
markupsafe==2.1.5
|
230 |
+
# via
|
231 |
+
# gradio
|
232 |
+
# jinja2
|
233 |
+
# werkzeug
|
234 |
+
marshmallow==3.23.2
|
235 |
+
# via dataclasses-json
|
236 |
+
mdurl==0.1.2
|
237 |
+
# via markdown-it-py
|
238 |
+
mpmath==1.3.0
|
239 |
+
# via sympy
|
240 |
+
multidict==6.1.0
|
241 |
+
# via
|
242 |
+
# aiohttp
|
243 |
+
# yarl
|
244 |
+
multiprocess==0.70.16
|
245 |
+
# via datasets
|
246 |
+
mypy-extensions==1.0.0
|
247 |
+
# via typing-inspect
|
248 |
+
nest-asyncio==1.6.0
|
249 |
+
# via llama-index-core
|
250 |
+
networkx==3.4.2
|
251 |
+
# via
|
252 |
+
# llama-index-core
|
253 |
+
# torch
|
254 |
+
ninja==1.11.1.3
|
255 |
+
# via colbert-ai
|
256 |
+
nltk==3.9.1
|
257 |
+
# via
|
258 |
+
# llama-index
|
259 |
+
# llama-index-core
|
260 |
+
numpy==1.26.4
|
261 |
+
# via
|
262 |
+
# datasets
|
263 |
+
# faiss-cpu
|
264 |
+
# fast-pytorch-kmeans
|
265 |
+
# gradio
|
266 |
+
# langchain
|
267 |
+
# llama-index-core
|
268 |
+
# onnx
|
269 |
+
# pandas
|
270 |
+
# scikit-learn
|
271 |
+
# scipy
|
272 |
+
# sentence-transformers
|
273 |
+
# transformers
|
274 |
+
# voyager
|
275 |
+
nvidia-cublas-cu12==12.4.5.8
|
276 |
+
# via
|
277 |
+
# nvidia-cudnn-cu12
|
278 |
+
# nvidia-cusolver-cu12
|
279 |
+
# torch
|
280 |
+
nvidia-cuda-cupti-cu12==12.4.127
|
281 |
+
# via torch
|
282 |
+
nvidia-cuda-nvrtc-cu12==12.4.127
|
283 |
+
# via torch
|
284 |
+
nvidia-cuda-runtime-cu12==12.4.127
|
285 |
+
# via torch
|
286 |
+
nvidia-cudnn-cu12==9.1.0.70
|
287 |
+
# via torch
|
288 |
+
nvidia-cufft-cu12==11.2.1.3
|
289 |
+
# via torch
|
290 |
+
nvidia-curand-cu12==10.3.5.147
|
291 |
+
# via torch
|
292 |
+
nvidia-cusolver-cu12==11.6.1.9
|
293 |
+
# via torch
|
294 |
+
nvidia-cusparse-cu12==12.3.1.170
|
295 |
+
# via
|
296 |
+
# nvidia-cusolver-cu12
|
297 |
+
# torch
|
298 |
+
nvidia-ml-py==12.560.30
|
299 |
+
# via pynvml
|
300 |
+
nvidia-nccl-cu12==2.21.5
|
301 |
+
# via torch
|
302 |
+
nvidia-nvjitlink-cu12==12.4.127
|
303 |
+
# via
|
304 |
+
# nvidia-cusolver-cu12
|
305 |
+
# nvidia-cusparse-cu12
|
306 |
+
# torch
|
307 |
+
nvidia-nvtx-cu12==12.4.127
|
308 |
+
# via torch
|
309 |
+
onnx==1.17.0
|
310 |
+
# via ragatouille
|
311 |
+
openai==1.58.1
|
312 |
+
# via
|
313 |
+
# llama-index-agent-openai
|
314 |
+
# llama-index-embeddings-openai
|
315 |
+
# llama-index-llms-openai
|
316 |
+
orjson==3.10.13
|
317 |
+
# via
|
318 |
+
# gradio
|
319 |
+
# langsmith
|
320 |
+
packaging==24.2
|
321 |
+
# via
|
322 |
+
# datasets
|
323 |
+
# faiss-cpu
|
324 |
+
# gradio
|
325 |
+
# gradio-client
|
326 |
+
# huggingface-hub
|
327 |
+
# langchain-core
|
328 |
+
# marshmallow
|
329 |
+
# transformers
|
330 |
pandas==2.2.2
|
331 |
+
# via
|
332 |
+
# datasets
|
333 |
+
# gradio
|
334 |
+
# llama-index-readers-file
|
335 |
+
pillow==11.0.0
|
336 |
+
# via
|
337 |
+
# gradio
|
338 |
+
# llama-index-core
|
339 |
+
# sentence-transformers
|
340 |
+
propcache==0.2.1
|
341 |
+
# via
|
342 |
+
# aiohttp
|
343 |
+
# yarl
|
344 |
+
protobuf==5.29.2
|
345 |
+
# via onnx
|
346 |
+
pyarrow==18.1.0
|
347 |
+
# via datasets
|
348 |
+
pydantic==2.10.4
|
349 |
+
# via
|
350 |
+
# fastapi
|
351 |
+
# gradio
|
352 |
+
# langchain
|
353 |
+
# langchain-core
|
354 |
+
# langsmith
|
355 |
+
# llama-cloud
|
356 |
+
# llama-index-core
|
357 |
+
# llama-parse
|
358 |
+
# openai
|
359 |
+
pydantic-core==2.27.2
|
360 |
+
# via pydantic
|
361 |
+
pydub==0.25.1
|
362 |
+
# via gradio
|
363 |
+
pygments==2.18.0
|
364 |
+
# via rich
|
365 |
+
pynvml==12.0.0
|
366 |
+
# via fast-pytorch-kmeans
|
367 |
+
pypdf==5.1.0
|
368 |
+
# via llama-index-readers-file
|
369 |
+
python-dateutil==2.9.0.post0
|
370 |
+
# via pandas
|
371 |
+
python-dotenv==1.0.1
|
372 |
+
# via colbert-ai
|
373 |
+
python-multipart==0.0.20
|
374 |
+
# via gradio
|
375 |
+
pytz==2024.2
|
376 |
+
# via pandas
|
377 |
+
pyyaml==6.0.2
|
378 |
+
# via
|
379 |
+
# datasets
|
380 |
+
# gradio
|
381 |
+
# huggingface-hub
|
382 |
+
# langchain
|
383 |
+
# langchain-core
|
384 |
+
# llama-index-core
|
385 |
+
# transformers
|
386 |
+
ragatouille==0.0.8.post4
|
387 |
+
# via iclr2024-papers (pyproject.toml)
|
388 |
+
regex==2024.11.6
|
389 |
+
# via
|
390 |
+
# nltk
|
391 |
+
# tiktoken
|
392 |
+
# transformers
|
393 |
+
requests==2.32.3
|
394 |
+
# via
|
395 |
+
# datasets
|
396 |
+
# huggingface-hub
|
397 |
+
# langchain
|
398 |
+
# langsmith
|
399 |
+
# llama-index-core
|
400 |
+
# requests-toolbelt
|
401 |
+
# tiktoken
|
402 |
+
# transformers
|
403 |
+
requests-toolbelt==1.0.0
|
404 |
+
# via langsmith
|
405 |
+
rich==13.9.4
|
406 |
+
# via typer
|
407 |
+
ruff==0.8.4
|
408 |
+
# via gradio
|
409 |
+
safehttpx==0.1.6
|
410 |
+
# via gradio
|
411 |
+
safetensors==0.4.5
|
412 |
+
# via transformers
|
413 |
+
scikit-learn==1.6.0
|
414 |
+
# via sentence-transformers
|
415 |
+
scipy==1.14.1
|
416 |
+
# via
|
417 |
+
# colbert-ai
|
418 |
+
# scikit-learn
|
419 |
+
# sentence-transformers
|
420 |
+
semantic-version==2.10.0
|
421 |
+
# via gradio
|
422 |
+
sentence-transformers==2.7.0
|
423 |
+
# via ragatouille
|
424 |
+
setuptools==75.6.0
|
425 |
+
# via iclr2024-papers (pyproject.toml)
|
426 |
+
shellingham==1.5.4
|
427 |
+
# via typer
|
428 |
+
six==1.17.0
|
429 |
+
# via python-dateutil
|
430 |
+
smmap==5.0.1
|
431 |
+
# via gitdb
|
432 |
+
sniffio==1.3.1
|
433 |
+
# via
|
434 |
+
# anyio
|
435 |
+
# openai
|
436 |
+
soupsieve==2.6
|
437 |
+
# via beautifulsoup4
|
438 |
+
sqlalchemy==2.0.36
|
439 |
+
# via
|
440 |
+
# langchain
|
441 |
+
# llama-index-core
|
442 |
+
srsly==2.4.8
|
443 |
+
# via ragatouille
|
444 |
+
starlette==0.41.3
|
445 |
+
# via
|
446 |
+
# fastapi
|
447 |
+
# gradio
|
448 |
+
striprtf==0.0.26
|
449 |
+
# via llama-index-readers-file
|
450 |
+
sympy==1.13.1
|
451 |
+
# via torch
|
452 |
+
tenacity==9.0.0
|
453 |
+
# via
|
454 |
+
# langchain
|
455 |
+
# langchain-core
|
456 |
+
# llama-index-core
|
457 |
+
threadpoolctl==3.5.0
|
458 |
+
# via scikit-learn
|
459 |
+
tiktoken==0.8.0
|
460 |
+
# via llama-index-core
|
461 |
+
tokenizers==0.21.0
|
462 |
+
# via transformers
|
463 |
+
tomlkit==0.13.2
|
464 |
+
# via gradio
|
465 |
+
torch==2.5.1
|
466 |
+
# via
|
467 |
+
# fast-pytorch-kmeans
|
468 |
+
# ragatouille
|
469 |
+
# sentence-transformers
|
470 |
tqdm==4.66.4
|
471 |
+
# via
|
472 |
+
# colbert-ai
|
473 |
+
# datasets
|
474 |
+
# huggingface-hub
|
475 |
+
# llama-index-core
|
476 |
+
# nltk
|
477 |
+
# openai
|
478 |
+
# sentence-transformers
|
479 |
+
# transformers
|
480 |
+
transformers==4.47.1
|
481 |
+
# via
|
482 |
+
# colbert-ai
|
483 |
+
# ragatouille
|
484 |
+
# sentence-transformers
|
485 |
+
triton==3.1.0
|
486 |
+
# via torch
|
487 |
+
typer==0.15.1
|
488 |
+
# via gradio
|
489 |
+
typing-extensions==4.12.2
|
490 |
+
# via
|
491 |
+
# anyio
|
492 |
+
# fastapi
|
493 |
+
# gradio
|
494 |
+
# gradio-client
|
495 |
+
# huggingface-hub
|
496 |
+
# langchain-core
|
497 |
+
# llama-index-core
|
498 |
+
# multidict
|
499 |
+
# openai
|
500 |
+
# pydantic
|
501 |
+
# pydantic-core
|
502 |
+
# pypdf
|
503 |
+
# rich
|
504 |
+
# sqlalchemy
|
505 |
+
# torch
|
506 |
+
# typer
|
507 |
+
# typing-inspect
|
508 |
+
# uvicorn
|
509 |
+
typing-inspect==0.9.0
|
510 |
+
# via
|
511 |
+
# dataclasses-json
|
512 |
+
# llama-index-core
|
513 |
+
tzdata==2024.2
|
514 |
+
# via pandas
|
515 |
+
ujson==5.10.0
|
516 |
+
# via colbert-ai
|
517 |
+
urllib3==2.3.0
|
518 |
+
# via requests
|
519 |
+
uvicorn==0.34.0
|
520 |
+
# via gradio
|
521 |
+
voyager==2.1.0
|
522 |
+
# via ragatouille
|
523 |
+
websockets==14.1
|
524 |
+
# via gradio-client
|
525 |
+
werkzeug==3.1.3
|
526 |
+
# via flask
|
527 |
+
wrapt==1.17.0
|
528 |
+
# via
|
529 |
+
# deprecated
|
530 |
+
# llama-index-core
|
531 |
+
xxhash==3.5.0
|
532 |
+
# via datasets
|
533 |
+
yarl==1.18.3
|
534 |
+
# via aiohttp
|
uv.lock
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