Spaces:
Running
on
Zero
Running
on
Zero
Fix
#6
by
hysts
HF staff
- opened
- .pre-commit-config.yaml +51 -0
- .python-version +1 -0
- .vscode/extensions.json +8 -0
- .vscode/settings.json +21 -0
- README.md +1 -1
- app.py +9 -17
- pyproject.toml +50 -0
- requirements.txt +240 -6
- uv.lock +0 -0
.pre-commit-config.yaml
ADDED
@@ -0,0 +1,51 @@
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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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- id: check-merge-conflict
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- id: check-shebang-scripts-are-executable
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- id: check-toml
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- id: check-yaml
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- id: end-of-file-fixer
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- id: mixed-line-ending
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args: ["--fix=lf"]
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- id: requirements-txt-fixer
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- id: trailing-whitespace
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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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additional_dependencies:
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[
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"types-python-slugify",
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"types-requests",
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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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[
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"--extra-keys",
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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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args: ["--py37-plus"]
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- id: nbqa-isort
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args: ["--float-to-top"]
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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
ADDED
@@ -0,0 +1,21 @@
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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: indigo
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colorTo: pink
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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: false
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short_description: Chatbot
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colorFrom: indigo
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colorTo: pink
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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: false
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short_description: Chatbot
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app.py
CHANGED
@@ -1,6 +1,6 @@
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import os
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from threading import Thread
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from typing import Iterator
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import gradio as gr
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import spaces
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@@ -21,7 +21,7 @@ MAX_INPUT_TOKEN_LENGTH = int(os.getenv("MAX_INPUT_TOKEN_LENGTH", "4096"))
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device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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model_id = "
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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@@ -34,22 +34,14 @@ model.eval()
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@spaces.GPU(duration=90)
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def generate(
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message: str,
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chat_history: list[
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max_new_tokens: int = 1024,
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temperature: float = 0.6,
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top_p: float = 0.9,
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top_k: int = 50,
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repetition_penalty: float = 1.2,
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) -> Iterator[str]:
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conversation = []
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for user, assistant in chat_history:
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conversation.extend(
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[
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{"role": "user", "content": user},
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{"role": "assistant", "content": assistant},
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]
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)
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conversation.append({"role": "user", "content": message})
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input_ids = tokenizer.apply_chat_template(conversation, add_generation_prompt=True, return_tensors="pt")
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if input_ids.shape[1] > MAX_INPUT_TOKEN_LENGTH:
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@@ -78,7 +70,7 @@ def generate(
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yield "".join(outputs)
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-
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fn=generate,
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additional_inputs=[
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gr.Slider(
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@@ -126,12 +118,12 @@ chat_interface = gr.ChatInterface(
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["Write a 100-word article on 'Benefits of Open-Source in AI research'"],
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],
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cache_examples=False,
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)
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-
with gr.Blocks(css="style.css", fill_height=True) as demo:
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gr.Markdown(DESCRIPTION)
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gr.DuplicateButton(value="Duplicate Space for private use", elem_id="duplicate-button")
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chat_interface.render()
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if __name__ == "__main__":
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demo.queue(max_size=20).launch()
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import os
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from collections.abc import Iterator
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from threading import Thread
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import gradio as gr
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import spaces
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device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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model_id = "meta-llama/Llama-3.2-3B-Instruct"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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@spaces.GPU(duration=90)
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def generate(
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message: str,
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chat_history: list[dict],
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max_new_tokens: int = 1024,
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temperature: float = 0.6,
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top_p: float = 0.9,
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top_k: int = 50,
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repetition_penalty: float = 1.2,
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) -> Iterator[str]:
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conversation = [*chat_history, {"role": "user", "content": message}]
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input_ids = tokenizer.apply_chat_template(conversation, add_generation_prompt=True, return_tensors="pt")
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if input_ids.shape[1] > MAX_INPUT_TOKEN_LENGTH:
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yield "".join(outputs)
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demo = gr.ChatInterface(
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fn=generate,
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additional_inputs=[
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gr.Slider(
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["Write a 100-word article on 'Benefits of Open-Source in AI research'"],
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],
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cache_examples=False,
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type="messages",
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description=DESCRIPTION,
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css_paths="style.css",
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fill_height=True,
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)
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if __name__ == "__main__":
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demo.queue(max_size=20).launch()
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pyproject.toml
ADDED
@@ -0,0 +1,50 @@
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[project]
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name = "llama-3-2-3b-instruct"
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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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"accelerate>=1.2.1",
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"gradio>=5.9.1",
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"hf-transfer>=0.1.8",
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"spaces>=0.31.1",
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"torch==2.4.0",
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"transformers>=4.47.1",
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]
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[tool.ruff]
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line-length = 119
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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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[tool.ruff.format]
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docstring-code-format = true
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requirements.txt
CHANGED
@@ -1,6 +1,240 @@
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-
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-
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-
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-
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-
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-
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# This file was autogenerated by uv via the following command:
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# uv pip compile pyproject.toml -o requirements.txt
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accelerate==1.2.1
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4 |
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# via llama-3-2-3b-instruct (pyproject.toml)
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5 |
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aiofiles==23.2.1
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6 |
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# via gradio
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7 |
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annotated-types==0.7.0
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8 |
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# via pydantic
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9 |
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anyio==4.7.0
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10 |
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# via
|
11 |
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# gradio
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12 |
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# httpx
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13 |
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# starlette
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14 |
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certifi==2024.12.14
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15 |
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# via
|
16 |
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# httpcore
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17 |
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# httpx
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18 |
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# requests
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19 |
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charset-normalizer==3.4.1
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20 |
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# via requests
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21 |
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click==8.1.8
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22 |
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# via
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23 |
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# typer
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24 |
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# uvicorn
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25 |
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exceptiongroup==1.2.2
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26 |
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# via anyio
|
27 |
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fastapi==0.115.6
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28 |
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# via gradio
|
29 |
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ffmpy==0.5.0
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30 |
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# via gradio
|
31 |
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filelock==3.16.1
|
32 |
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# via
|
33 |
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# huggingface-hub
|
34 |
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# torch
|
35 |
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# transformers
|
36 |
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# triton
|
37 |
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fsspec==2024.12.0
|
38 |
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# via
|
39 |
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# gradio-client
|
40 |
+
# huggingface-hub
|
41 |
+
# torch
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42 |
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gradio==5.9.1
|
43 |
+
# via
|
44 |
+
# llama-3-2-3b-instruct (pyproject.toml)
|
45 |
+
# spaces
|
46 |
+
gradio-client==1.5.2
|
47 |
+
# via gradio
|
48 |
+
h11==0.14.0
|
49 |
+
# via
|
50 |
+
# httpcore
|
51 |
+
# uvicorn
|
52 |
+
hf-transfer==0.1.8
|
53 |
+
# via llama-3-2-3b-instruct (pyproject.toml)
|
54 |
+
httpcore==1.0.7
|
55 |
+
# via httpx
|
56 |
+
httpx==0.28.1
|
57 |
+
# via
|
58 |
+
# gradio
|
59 |
+
# gradio-client
|
60 |
+
# safehttpx
|
61 |
+
# spaces
|
62 |
+
huggingface-hub==0.27.0
|
63 |
+
# via
|
64 |
+
# accelerate
|
65 |
+
# gradio
|
66 |
+
# gradio-client
|
67 |
+
# tokenizers
|
68 |
+
# transformers
|
69 |
+
idna==3.10
|
70 |
+
# via
|
71 |
+
# anyio
|
72 |
+
# httpx
|
73 |
+
# requests
|
74 |
+
jinja2==3.1.5
|
75 |
+
# via
|
76 |
+
# gradio
|
77 |
+
# torch
|
78 |
+
markdown-it-py==3.0.0
|
79 |
+
# via rich
|
80 |
+
markupsafe==2.1.5
|
81 |
+
# via
|
82 |
+
# gradio
|
83 |
+
# jinja2
|
84 |
+
mdurl==0.1.2
|
85 |
+
# via markdown-it-py
|
86 |
+
mpmath==1.3.0
|
87 |
+
# via sympy
|
88 |
+
networkx==3.4.2
|
89 |
+
# via torch
|
90 |
+
numpy==2.2.1
|
91 |
+
# via
|
92 |
+
# accelerate
|
93 |
+
# gradio
|
94 |
+
# pandas
|
95 |
+
# transformers
|
96 |
+
nvidia-cublas-cu12==12.1.3.1
|
97 |
+
# via
|
98 |
+
# nvidia-cudnn-cu12
|
99 |
+
# nvidia-cusolver-cu12
|
100 |
+
# torch
|
101 |
+
nvidia-cuda-cupti-cu12==12.1.105
|
102 |
+
# via torch
|
103 |
+
nvidia-cuda-nvrtc-cu12==12.1.105
|
104 |
+
# via torch
|
105 |
+
nvidia-cuda-runtime-cu12==12.1.105
|
106 |
+
# via torch
|
107 |
+
nvidia-cudnn-cu12==9.1.0.70
|
108 |
+
# via torch
|
109 |
+
nvidia-cufft-cu12==11.0.2.54
|
110 |
+
# via torch
|
111 |
+
nvidia-curand-cu12==10.3.2.106
|
112 |
+
# via torch
|
113 |
+
nvidia-cusolver-cu12==11.4.5.107
|
114 |
+
# via torch
|
115 |
+
nvidia-cusparse-cu12==12.1.0.106
|
116 |
+
# via
|
117 |
+
# nvidia-cusolver-cu12
|
118 |
+
# torch
|
119 |
+
nvidia-nccl-cu12==2.20.5
|
120 |
+
# via torch
|
121 |
+
nvidia-nvjitlink-cu12==12.6.85
|
122 |
+
# via
|
123 |
+
# nvidia-cusolver-cu12
|
124 |
+
# nvidia-cusparse-cu12
|
125 |
+
nvidia-nvtx-cu12==12.1.105
|
126 |
+
# via torch
|
127 |
+
orjson==3.10.13
|
128 |
+
# via gradio
|
129 |
+
packaging==24.2
|
130 |
+
# via
|
131 |
+
# accelerate
|
132 |
+
# gradio
|
133 |
+
# gradio-client
|
134 |
+
# huggingface-hub
|
135 |
+
# spaces
|
136 |
+
# transformers
|
137 |
+
pandas==2.2.3
|
138 |
+
# via gradio
|
139 |
+
pillow==11.1.0
|
140 |
+
# via gradio
|
141 |
+
psutil==5.9.8
|
142 |
+
# via
|
143 |
+
# accelerate
|
144 |
+
# spaces
|
145 |
+
pydantic==2.10.4
|
146 |
+
# via
|
147 |
+
# fastapi
|
148 |
+
# gradio
|
149 |
+
# spaces
|
150 |
+
pydantic-core==2.27.2
|
151 |
+
# via pydantic
|
152 |
+
pydub==0.25.1
|
153 |
+
# via gradio
|
154 |
+
pygments==2.18.0
|
155 |
+
# via rich
|
156 |
+
python-dateutil==2.9.0.post0
|
157 |
+
# via pandas
|
158 |
+
python-multipart==0.0.20
|
159 |
+
# via gradio
|
160 |
+
pytz==2024.2
|
161 |
+
# via pandas
|
162 |
+
pyyaml==6.0.2
|
163 |
+
# via
|
164 |
+
# accelerate
|
165 |
+
# gradio
|
166 |
+
# huggingface-hub
|
167 |
+
# transformers
|
168 |
+
regex==2024.11.6
|
169 |
+
# via transformers
|
170 |
+
requests==2.32.3
|
171 |
+
# via
|
172 |
+
# huggingface-hub
|
173 |
+
# spaces
|
174 |
+
# transformers
|
175 |
+
rich==13.9.4
|
176 |
+
# via typer
|
177 |
+
ruff==0.8.5
|
178 |
+
# via gradio
|
179 |
+
safehttpx==0.1.6
|
180 |
+
# via gradio
|
181 |
+
safetensors==0.5.0
|
182 |
+
# via
|
183 |
+
# accelerate
|
184 |
+
# transformers
|
185 |
+
semantic-version==2.10.0
|
186 |
+
# via gradio
|
187 |
+
shellingham==1.5.4
|
188 |
+
# via typer
|
189 |
+
six==1.17.0
|
190 |
+
# via python-dateutil
|
191 |
+
sniffio==1.3.1
|
192 |
+
# via anyio
|
193 |
+
spaces==0.31.1
|
194 |
+
# via llama-3-2-3b-instruct (pyproject.toml)
|
195 |
+
starlette==0.41.3
|
196 |
+
# via
|
197 |
+
# fastapi
|
198 |
+
# gradio
|
199 |
+
sympy==1.13.3
|
200 |
+
# via torch
|
201 |
+
tokenizers==0.21.0
|
202 |
+
# via transformers
|
203 |
+
tomlkit==0.13.2
|
204 |
+
# via gradio
|
205 |
+
torch==2.4.0
|
206 |
+
# via
|
207 |
+
# llama-3-2-3b-instruct (pyproject.toml)
|
208 |
+
# accelerate
|
209 |
+
tqdm==4.67.1
|
210 |
+
# via
|
211 |
+
# huggingface-hub
|
212 |
+
# transformers
|
213 |
+
transformers==4.47.1
|
214 |
+
# via llama-3-2-3b-instruct (pyproject.toml)
|
215 |
+
triton==3.0.0
|
216 |
+
# via torch
|
217 |
+
typer==0.15.1
|
218 |
+
# via gradio
|
219 |
+
typing-extensions==4.12.2
|
220 |
+
# via
|
221 |
+
# anyio
|
222 |
+
# fastapi
|
223 |
+
# gradio
|
224 |
+
# gradio-client
|
225 |
+
# huggingface-hub
|
226 |
+
# pydantic
|
227 |
+
# pydantic-core
|
228 |
+
# rich
|
229 |
+
# spaces
|
230 |
+
# torch
|
231 |
+
# typer
|
232 |
+
# uvicorn
|
233 |
+
tzdata==2024.2
|
234 |
+
# via pandas
|
235 |
+
urllib3==2.3.0
|
236 |
+
# via requests
|
237 |
+
uvicorn==0.34.0
|
238 |
+
# via gradio
|
239 |
+
websockets==14.1
|
240 |
+
# via gradio-client
|
uv.lock
ADDED
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|
|