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a.pourmand
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Commit
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16a3aec
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Parent(s):
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add files
Browse files- Dockerfile +59 -0
- app.py +28 -0
- packages.txt +1 -0
- requirements.txt +4 -0
Dockerfile
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FROM nvidia/cuda:11.7.1-cudnn8-devel-ubuntu22.04
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ENV DEBIAN_FRONTEND=noninteractive
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RUN apt-get update && \
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apt-get upgrade -y && \
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apt-get install -y --no-install-recommends \
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git \
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git-lfs \
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wget \
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curl \
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# python build dependencies \
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build-essential \
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libssl-dev \
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zlib1g-dev \
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libbz2-dev \
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libreadline-dev \
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libsqlite3-dev \
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libncursesw5-dev \
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xz-utils \
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tk-dev \
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libxml2-dev \
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libxmlsec1-dev \
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libffi-dev \
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liblzma-dev \
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# gradio dependencies \
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ffmpeg \
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# fairseq2 dependencies \
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libsndfile-dev && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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RUN useradd -m -u 1000 user
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USER user
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ENV HOME=/home/user \
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PATH=/home/user/.local/bin:${PATH}
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WORKDIR ${HOME}/app
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RUN curl https://pyenv.run | bash
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ENV PATH=${HOME}/.pyenv/shims:${HOME}/.pyenv/bin:${PATH}
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ARG PYTHON_VERSION=3.10.12
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RUN pyenv install ${PYTHON_VERSION} && \
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pyenv global ${PYTHON_VERSION} && \
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pyenv rehash && \
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pip install --no-cache-dir -U pip setuptools wheel
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COPY --chown=1000 ./requirements.txt /tmp/requirements.txt
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RUN pip install --no-cache-dir --upgrade -r /tmp/requirements.txt
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COPY --chown=1000 . ${HOME}/app
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ENV PYTHONPATH=${HOME}/app \
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PYTHONUNBUFFERED=1 \
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GRADIO_ALLOW_FLAGGING=never \
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GRADIO_NUM_PORTS=1 \
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GRADIO_SERVER_NAME=0.0.0.0 \
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GRADIO_THEME=huggingface \
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SYSTEM=spaces \
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GRADIO_SERVER_PORT=7860
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EXPOSE 7860
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CMD ["python", "app.py"]
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app.py
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import gradio as gr
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import os
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HF_API = os.getenv("HF_API")
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API_URL = os.getenv("API_URL") # path to Seamlessm4t API endpoint
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DESCRIPTION = """
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# Seamlessm4t + Speaker Diarization + Voice Activity Detection
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Here we use seamlessm4t to generate captions for full audios. Audio can be of arbitrary length. """
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DUPLICATE = """
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To duplicate this repo, you have to give permission from three reopsitories and accept all user conditions:
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1- https://huggingface.co/pyannote/voice-activity-detection
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2- hf.co/pyannote/segmentation
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3- hf.co/pyannote/speaker-diarization
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"""
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with gr.Blocks() as demo:
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gr.Markdown(DESCRIPTION)
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target_language = gr.Dropdown(choices=["French", "Spanish", "German"])
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audio_source = gr.Radio(choices=["microphone", "file"])
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mic_input = gr.Audio(source="microphone", visible=False)
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file_input = gr.Audio(source="upload", visible=False)
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output = gr.Textbox()
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gr.Markdown(DUPLICATE)
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demo.queue(max_size=50).launch()
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packages.txt
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ffmpeg
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requirements.txt
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pyannote.audio
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pydub
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gradio_client
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gradio
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