Upload 6 files
Browse files- README.md +5 -6
- app.py +119 -0
- gitattributes +35 -0
- pre-commit-config.yaml +60 -0
- requirements.txt +241 -0
- style.css +11 -0
README.md
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---
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title:
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emoji:
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colorFrom:
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colorTo:
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sdk: gradio
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sdk_version: 5.1.0
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app_file: app.py
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pinned: false
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short_description: Generate a protein's function using its amino acid sequence
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: ESM2Text
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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: 5.1.0
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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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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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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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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer
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DESCRIPTION = """\
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# ESM2Text Demo
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"""
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MAX_MAX_NEW_TOKENS = 256
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DEFAULT_MAX_NEW_TOKENS = 100
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device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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tokenizer = AutoTokenizer.from_pretrained('habdine/Esm2Text-Base-v1-1',
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trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained('habdine/Esm2Text-Base-v1-1',
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device_map="auto",
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trust_remote_code=True)
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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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max_new_tokens: int = 1024,
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do_sample: bool = False,
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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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streamer = TextIteratorStreamer(tokenizer, timeout=20.0, skip_prompt=True, skip_special_tokens=True)
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generate_kwargs = dict(
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protein_sequence=message,
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tokenizer=tokenizer,
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device=device,
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streamer=streamer,
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max_new_tokens=max_new_tokens,
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do_sample=do_sample,
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top_p=top_p,
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top_k=top_k,
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temperature=temperature,
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num_beams=1,
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repetition_penalty=repetition_penalty,
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)
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t = Thread(target=model.generate, kwargs=generate_kwargs)
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t.start()
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outputs = []
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for text in streamer:
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outputs.append(text)
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yield "".join(outputs)
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chat_interface = gr.ChatInterface(
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fn=generate,
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additional_inputs=[
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gr.Slider(
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label="Max new tokens",
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minimum=1,
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maximum=MAX_MAX_NEW_TOKENS,
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step=1,
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value=DEFAULT_MAX_NEW_TOKENS,
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),
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gr.Checkbox(label="Do Sample"),
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gr.Slider(
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label="Temperature",
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minimum=0.1,
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maximum=4.0,
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step=0.1,
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value=0.6,
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),
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gr.Slider(
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label="Top-p (nucleus sampling)",
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minimum=0.05,
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maximum=1.0,
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step=0.05,
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value=0.9,
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),
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gr.Slider(
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label="Top-k",
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minimum=1,
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maximum=1000,
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step=1,
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value=50,
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),
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gr.Slider(
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label="Repetition penalty",
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minimum=1.0,
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maximum=2.0,
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step=0.05,
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value=1.0,
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),
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],
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stop_btn=None,
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examples=[
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['AEQAERYEEMVEFMEKL'],
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["MAVVLPAVVEELLSEMAAAVQESARIPDEYLLSLKFLFGSSATQALDLVDRQSITLISSPSGRRVYQVLGSSSKTYTCLASCHYCSCPAFAFSVLRKSDSILCKHLLAVYLSQVMRTCQQLSVSDKQLTDILLMEKKQEA"],
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],
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cache_examples=False,
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type="messages",
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)
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with gr.Blocks(css_paths="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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gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.arrow filter=lfs diff=lfs merge=lfs -text
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*.bin filter=lfs diff=lfs merge=lfs -text
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*.bz2 filter=lfs diff=lfs merge=lfs -text
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*.ckpt filter=lfs diff=lfs merge=lfs -text
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*.ftz filter=lfs diff=lfs merge=lfs -text
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*.gz filter=lfs diff=lfs merge=lfs -text
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*.h5 filter=lfs diff=lfs merge=lfs -text
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*.joblib filter=lfs diff=lfs merge=lfs -text
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*.lfs.* filter=lfs diff=lfs merge=lfs -text
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*.mlmodel filter=lfs diff=lfs merge=lfs -text
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*.model filter=lfs diff=lfs merge=lfs -text
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*.msgpack filter=lfs diff=lfs merge=lfs -text
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*.npy filter=lfs diff=lfs merge=lfs -text
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*.npz filter=lfs diff=lfs merge=lfs -text
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*.onnx filter=lfs diff=lfs merge=lfs -text
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*.ot filter=lfs diff=lfs merge=lfs -text
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*.parquet filter=lfs diff=lfs merge=lfs -text
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pickle filter=lfs diff=lfs merge=lfs -text
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*.pkl filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.tar.* filter=lfs diff=lfs merge=lfs -text
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*.tar filter=lfs diff=lfs merge=lfs -text
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*.tflite filter=lfs diff=lfs merge=lfs -text
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*.tgz filter=lfs diff=lfs merge=lfs -text
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*.wasm filter=lfs diff=lfs merge=lfs -text
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*.xz filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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pre-commit-config.yaml
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repos:
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- repo: https://github.com/pre-commit/pre-commit-hooks
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rev: v4.6.0
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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/myint/docformatter
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rev: v1.7.5
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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/pycqa/isort
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rev: 5.13.2
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hooks:
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- id: isort
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args: ["--profile", "black"]
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- repo: https://github.com/pre-commit/mirrors-mypy
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rev: v1.10.1
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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/psf/black
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rev: 24.4.2
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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: 0.7.1
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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: 1.8.5
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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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requirements.txt
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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==1.0.0
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# via gemma-2-9b-it (pyproject.toml)
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aiofiles==23.2.1
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# via gradio
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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==4.6.0
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# via
|
11 |
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# gradio
|
12 |
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# httpx
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13 |
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# starlette
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certifi==2024.8.30
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15 |
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# via
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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==3.3.2
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# via requests
|
21 |
+
click==8.1.7
|
22 |
+
# via
|
23 |
+
# typer
|
24 |
+
# uvicorn
|
25 |
+
exceptiongroup==1.2.2
|
26 |
+
# via anyio
|
27 |
+
fastapi==0.115.0
|
28 |
+
# via gradio
|
29 |
+
ffmpy==0.4.0
|
30 |
+
# via gradio
|
31 |
+
filelock==3.16.1
|
32 |
+
# via
|
33 |
+
# huggingface-hub
|
34 |
+
# torch
|
35 |
+
# transformers
|
36 |
+
# triton
|
37 |
+
fsspec==2024.9.0
|
38 |
+
# via
|
39 |
+
# gradio-client
|
40 |
+
# huggingface-hub
|
41 |
+
# torch
|
42 |
+
gradio==5.0.1
|
43 |
+
# via
|
44 |
+
# gemma-2-9b-it (pyproject.toml)
|
45 |
+
# spaces
|
46 |
+
gradio-client==1.4.0
|
47 |
+
# via gradio
|
48 |
+
h11==0.14.0
|
49 |
+
# via
|
50 |
+
# httpcore
|
51 |
+
# uvicorn
|
52 |
+
hf-transfer==0.1.8
|
53 |
+
# via gemma-2-9b-it (pyproject.toml)
|
54 |
+
httpcore==1.0.5
|
55 |
+
# via httpx
|
56 |
+
httpx==0.27.2
|
57 |
+
# via
|
58 |
+
# gradio
|
59 |
+
# gradio-client
|
60 |
+
# spaces
|
61 |
+
huggingface-hub==0.25.1
|
62 |
+
# via
|
63 |
+
# accelerate
|
64 |
+
# gradio
|
65 |
+
# gradio-client
|
66 |
+
# tokenizers
|
67 |
+
# transformers
|
68 |
+
idna==3.10
|
69 |
+
# via
|
70 |
+
# anyio
|
71 |
+
# httpx
|
72 |
+
# requests
|
73 |
+
jinja2==3.1.4
|
74 |
+
# via
|
75 |
+
# gradio
|
76 |
+
# torch
|
77 |
+
markdown-it-py==3.0.0
|
78 |
+
# via rich
|
79 |
+
markupsafe==2.1.5
|
80 |
+
# via
|
81 |
+
# gradio
|
82 |
+
# jinja2
|
83 |
+
mdurl==0.1.2
|
84 |
+
# via markdown-it-py
|
85 |
+
mpmath==1.3.0
|
86 |
+
# via sympy
|
87 |
+
networkx==3.3
|
88 |
+
# via torch
|
89 |
+
numpy==2.1.1
|
90 |
+
# via
|
91 |
+
# accelerate
|
92 |
+
# gradio
|
93 |
+
# pandas
|
94 |
+
# transformers
|
95 |
+
nvidia-cublas-cu12==12.1.3.1
|
96 |
+
# via
|
97 |
+
# nvidia-cudnn-cu12
|
98 |
+
# nvidia-cusolver-cu12
|
99 |
+
# torch
|
100 |
+
nvidia-cuda-cupti-cu12==12.1.105
|
101 |
+
# via torch
|
102 |
+
nvidia-cuda-nvrtc-cu12==12.1.105
|
103 |
+
# via torch
|
104 |
+
nvidia-cuda-runtime-cu12==12.1.105
|
105 |
+
# via torch
|
106 |
+
nvidia-cudnn-cu12==9.1.0.70
|
107 |
+
# via torch
|
108 |
+
nvidia-cufft-cu12==11.0.2.54
|
109 |
+
# via torch
|
110 |
+
nvidia-curand-cu12==10.3.2.106
|
111 |
+
# via torch
|
112 |
+
nvidia-cusolver-cu12==11.4.5.107
|
113 |
+
# via torch
|
114 |
+
nvidia-cusparse-cu12==12.1.0.106
|
115 |
+
# via
|
116 |
+
# nvidia-cusolver-cu12
|
117 |
+
# torch
|
118 |
+
nvidia-nccl-cu12==2.20.5
|
119 |
+
# via torch
|
120 |
+
nvidia-nvjitlink-cu12==12.6.68
|
121 |
+
# via
|
122 |
+
# nvidia-cusolver-cu12
|
123 |
+
# nvidia-cusparse-cu12
|
124 |
+
nvidia-nvtx-cu12==12.1.105
|
125 |
+
# via torch
|
126 |
+
orjson==3.10.7
|
127 |
+
# via gradio
|
128 |
+
packaging==24.1
|
129 |
+
# via
|
130 |
+
# accelerate
|
131 |
+
# gradio
|
132 |
+
# gradio-client
|
133 |
+
# huggingface-hub
|
134 |
+
# spaces
|
135 |
+
# transformers
|
136 |
+
pandas==2.2.3
|
137 |
+
# via gradio
|
138 |
+
pillow==10.4.0
|
139 |
+
# via gradio
|
140 |
+
psutil==5.9.8
|
141 |
+
# via
|
142 |
+
# accelerate
|
143 |
+
# spaces
|
144 |
+
pydantic==2.9.2
|
145 |
+
# via
|
146 |
+
# fastapi
|
147 |
+
# gradio
|
148 |
+
# spaces
|
149 |
+
pydantic-core==2.23.4
|
150 |
+
# via pydantic
|
151 |
+
pydub==0.25.1
|
152 |
+
# via gradio
|
153 |
+
pygments==2.18.0
|
154 |
+
# via rich
|
155 |
+
python-dateutil==2.9.0.post0
|
156 |
+
# via pandas
|
157 |
+
python-multipart==0.0.12
|
158 |
+
# via gradio
|
159 |
+
pytz==2024.2
|
160 |
+
# via pandas
|
161 |
+
pyyaml==6.0.2
|
162 |
+
# via
|
163 |
+
# accelerate
|
164 |
+
# gradio
|
165 |
+
# huggingface-hub
|
166 |
+
# transformers
|
167 |
+
regex==2024.9.11
|
168 |
+
# via transformers
|
169 |
+
requests==2.32.3
|
170 |
+
# via
|
171 |
+
# huggingface-hub
|
172 |
+
# spaces
|
173 |
+
# transformers
|
174 |
+
rich==13.8.1
|
175 |
+
# via typer
|
176 |
+
ruff==0.6.8
|
177 |
+
# via gradio
|
178 |
+
safetensors==0.4.5
|
179 |
+
# via
|
180 |
+
# accelerate
|
181 |
+
# transformers
|
182 |
+
semantic-version==2.10.0
|
183 |
+
# via gradio
|
184 |
+
shellingham==1.5.4
|
185 |
+
# via typer
|
186 |
+
six==1.16.0
|
187 |
+
# via python-dateutil
|
188 |
+
sniffio==1.3.1
|
189 |
+
# via
|
190 |
+
# anyio
|
191 |
+
# httpx
|
192 |
+
spaces==0.30.3
|
193 |
+
# via gemma-2-9b-it (pyproject.toml)
|
194 |
+
starlette==0.38.6
|
195 |
+
# via fastapi
|
196 |
+
sympy==1.13.3
|
197 |
+
# via torch
|
198 |
+
tokenizers==0.20.0
|
199 |
+
# via transformers
|
200 |
+
tomlkit==0.12.0
|
201 |
+
# via gradio
|
202 |
+
torch==2.4.0
|
203 |
+
# via
|
204 |
+
# gemma-2-9b-it (pyproject.toml)
|
205 |
+
# accelerate
|
206 |
+
tqdm==4.66.5
|
207 |
+
# via
|
208 |
+
# huggingface-hub
|
209 |
+
# transformers
|
210 |
+
transformers==4.45.2
|
211 |
+
# via gemma-2-9b-it (pyproject.toml)
|
212 |
+
triton==3.0.0
|
213 |
+
# via torch
|
214 |
+
typer==0.12.5
|
215 |
+
# via gradio
|
216 |
+
typing-extensions==4.12.2
|
217 |
+
# via
|
218 |
+
# anyio
|
219 |
+
# fastapi
|
220 |
+
# gradio
|
221 |
+
# gradio-client
|
222 |
+
# huggingface-hub
|
223 |
+
# pydantic
|
224 |
+
# pydantic-core
|
225 |
+
# spaces
|
226 |
+
# torch
|
227 |
+
# typer
|
228 |
+
# uvicorn
|
229 |
+
tzdata==2024.2
|
230 |
+
# via pandas
|
231 |
+
urllib3==2.2.3
|
232 |
+
# via requests
|
233 |
+
uvicorn==0.31.0
|
234 |
+
# via gradio
|
235 |
+
websockets==12.0
|
236 |
+
# via gradio-client
|
237 |
+
torch_geometric
|
238 |
+
torch_scatter
|
239 |
+
torch_sparse
|
240 |
+
torch_cluster
|
241 |
+
torch_spline_conv
|
style.css
ADDED
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
h1 {
|
2 |
+
text-align: center;
|
3 |
+
display: block;
|
4 |
+
}
|
5 |
+
|
6 |
+
#duplicate-button {
|
7 |
+
margin: auto;
|
8 |
+
color: #fff;
|
9 |
+
background: #1565c0;
|
10 |
+
border-radius: 100vh;
|
11 |
+
}
|