Upload 6 files
Browse files- LICENSE.txt +126 -0
- README.md +12 -6
- app.py +124 -0
- gitattributes +35 -0
- requirements.txt +8 -0
- style.css +17 -0
LICENSE.txt
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1 |
+
LLAMA 2 COMMUNITY LICENSE AGREEMENT
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Llama 2 Version Release Date: July 18, 2023
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"Agreement" means the terms and conditions for use, reproduction, distribution and
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modification of the Llama Materials set forth herein.
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"Documentation" means the specifications, manuals and documentation
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accompanying Llama 2 distributed by Meta at ai.meta.com/resources/models-and-
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libraries/llama-downloads/.
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"Licensee" or "you" means you, or your employer or any other person or entity (if
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you are entering into this Agreement on such person or entity's behalf), of the age
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required under applicable laws, rules or regulations to provide legal consent and that
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has legal authority to bind your employer or such other person or entity if you are
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entering in this Agreement on their behalf.
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"Llama 2" means the foundational large language models and software and
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algorithms, including machine-learning model code, trained model weights,
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inference-enabling code, training-enabling code, fine-tuning enabling code and other
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elements of the foregoing distributed by Meta at ai.meta.com/resources/models-and-
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libraries/llama-downloads/.
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"Llama Materials" means, collectively, Meta's proprietary Llama 2 and
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Documentation (and any portion thereof) made available under this Agreement.
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By clicking "I Accept" below or by using or distributing any portion or element of the
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1. License Rights and Redistribution.
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part of such copies: "Llama 2 is licensed under the LLAMA 2 Community License,
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Copyright (c) Meta Platforms, Inc. All Rights Reserved."
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this Agreement.
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v. You will not use the Llama Materials or any output or results of the
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Llama Materials to improve any other large language model (excluding Llama 2 or
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derivative works thereof).
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2. Additional Commercial Terms. If, on the Llama 2 version release date, the
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5. Intellectual Property.
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a. No trademark licenses are granted under this Agreement, and in
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Materials that are made by you, as between you and Meta, you are and will be the
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c. If you institute litigation or other proceedings against Meta or any entity
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Materials or Llama 2 outputs or results, or any portion of any of the foregoing,
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constitutes infringement of intellectual property or other rights owned or licensable
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by you, then any licenses granted to you under this Agreement shall terminate as of
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harmless Meta from and against any claim by any third party arising out of or related
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6. Term and Termination. The term of this Agreement will commence upon your
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acceptance of this Agreement or access to the Llama Materials and will continue in
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full force and effect until terminated in accordance with the terms and conditions
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herein. Meta may terminate this Agreement if you are in breach of any term or
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condition of this Agreement. Upon termination of this Agreement, you shall delete
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and cease use of the Llama Materials. Sections 3, 4 and 7 shall survive the
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termination of this Agreement.
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construed under the laws of the State of California without regard to choice of law
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principles, and the UN Convention on Contracts for the International Sale of Goods
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does not apply to this Agreement. The courts of California shall have exclusive
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jurisdiction of any dispute arising out of this Agreement.
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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: 4.
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app_file: app.py
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pinned: false
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-
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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: Llama 2 7B Chat
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emoji: 🏆
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colorFrom: purple
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colorTo: gray
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sdk: gradio
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sdk_version: 4.27.0
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app_file: app.py
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pinned: false
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suggested_hardware: a10g-small
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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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# LLAMA v2 Models
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Llama v2 was introduced in [this paper](https://arxiv.org/abs/2307.09288).
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This Space demonstrates [Llama-2-7b-chat-hf](https://huggingface.co/spaces/huggingface-projects/llama-2-13b-chat/blob/main/meta-llama/Llama-2-7b-chat-hf) from Meta. Please, check the original model card for details.
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app.py
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#!/usr/bin/env python
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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 = "# Albert (guillaumetell-7b)"
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if not torch.cuda.is_available():
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DESCRIPTION += "\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>"
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MAX_MAX_NEW_TOKENS = 2048
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DEFAULT_MAX_NEW_TOKENS = 1024
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MAX_INPUT_TOKEN_LENGTH = int(os.getenv("MAX_INPUT_TOKEN_LENGTH", "4096"))
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if torch.cuda.is_available():
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model_id = "AgentPublic/guillaumetell-7b"
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model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.float16, device_map="auto")
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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@spaces.GPU
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def generate(
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message: str,
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chat_history: list[tuple[str, str]],
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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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conversation.append([{"role": "system", "content": "Tu es Albert, le chatbot des Maisons France Service qui donne des réponses sourcées."}])
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for user, assistant in chat_history:
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conversation.extend([{"role": "user", "content": user}, {"role": "assistant", "content": assistant}])
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conversation.append({"role": "user", "content": message})
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input_ids = tokenizer.apply_chat_template(conversation, return_tensors="pt")
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if input_ids.shape[1] > MAX_INPUT_TOKEN_LENGTH:
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input_ids = input_ids[:, -MAX_INPUT_TOKEN_LENGTH:]
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gr.Warning(f"Trimmed input from conversation as it was longer than {MAX_INPUT_TOKEN_LENGTH} tokens.")
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input_ids = input_ids.to(model.device)
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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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{"input_ids": input_ids},
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streamer=streamer,
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max_new_tokens=max_new_tokens,
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do_sample=True,
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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.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=1.2,
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),
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],
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stop_btn=None,
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+
examples=[
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["Question: Quelles sont les étapes de la procédure de rétablissement en cas de surendettement ?"],
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+
],
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)
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+
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with gr.Blocks(css="style.css") as demo:
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gr.Markdown(DESCRIPTION)
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gr.DuplicateButton(
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value="Duplicate Space for private use",
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elem_id="duplicate-button",
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visible=os.getenv("SHOW_DUPLICATE_BUTTON") == "1",
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)
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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
|
10 |
+
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
11 |
+
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
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+
*.model filter=lfs diff=lfs merge=lfs -text
|
13 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
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+
*.npy filter=lfs diff=lfs merge=lfs -text
|
15 |
+
*.npz filter=lfs diff=lfs merge=lfs -text
|
16 |
+
*.onnx filter=lfs diff=lfs merge=lfs -text
|
17 |
+
*.ot filter=lfs diff=lfs merge=lfs -text
|
18 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
19 |
+
*.pb filter=lfs diff=lfs merge=lfs -text
|
20 |
+
*.pickle filter=lfs diff=lfs merge=lfs -text
|
21 |
+
*.pkl filter=lfs diff=lfs merge=lfs -text
|
22 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
23 |
+
*.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
|
26 |
+
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
27 |
+
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
28 |
+
*.tar filter=lfs diff=lfs merge=lfs -text
|
29 |
+
*.tflite filter=lfs diff=lfs merge=lfs -text
|
30 |
+
*.tgz filter=lfs diff=lfs merge=lfs -text
|
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+
*.wasm filter=lfs diff=lfs merge=lfs -text
|
32 |
+
*.xz filter=lfs diff=lfs merge=lfs -text
|
33 |
+
*.zip filter=lfs diff=lfs merge=lfs -text
|
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+
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
+
*tfevents* filter=lfs diff=lfs merge=lfs -text
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requirements.txt
ADDED
@@ -0,0 +1,8 @@
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|
1 |
+
accelerate==0.29.3
|
2 |
+
bitsandbytes==0.43.1
|
3 |
+
gradio==4.27.0
|
4 |
+
scipy==1.13.0
|
5 |
+
sentencepiece==0.1.99
|
6 |
+
spaces==0.26.1
|
7 |
+
torch==2.0.0
|
8 |
+
transformers==4.40.0
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style.css
ADDED
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|
1 |
+
h1 {
|
2 |
+
text-align: center;
|
3 |
+
display: block;
|
4 |
+
}
|
5 |
+
|
6 |
+
#duplicate-button {
|
7 |
+
margin: auto;
|
8 |
+
color: white;
|
9 |
+
background: #1565c0;
|
10 |
+
border-radius: 100vh;
|
11 |
+
}
|
12 |
+
|
13 |
+
.contain {
|
14 |
+
max-width: 900px;
|
15 |
+
margin: auto;
|
16 |
+
padding-top: 1.5rem;
|
17 |
+
}
|