add dockerfile

.dockerignore

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+*.ipynb
+.github
+docs
+Dockerfile
+.gitignore
+.git

.github/workflows/main.yml

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+name: Docker Image CI
+
+env:
+  REGISTRY_USERNAME: ${{ secrets.REGISTRY_USERNAME }}
+  REGISTRY_PASSWORD: ${{ secrets.REGISTRY_PASSWORD }}
+  REGISTRY: ${{ vars.REGISTRY }}
+  FULL_IMAGE: ${{ vars.REGISTRY }}/${{ github.repository }}:v${{ github.sha }}
+  CACHE_IMAGE: ${{ vars.REGISTRY }}/${{ github.repository }}:cache
+  LATEST_IMAGE: ${{ vars.REGISTRY }}/${{ github.repository }}:latest
+
+on:
+  push:
+    branches: [ "main" ]
+  pull_request:
+    branches: [ "main" ]
+
+jobs:
+  build-and-test:
+    runs-on: ubuntu-latest
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v3
+    - name: Set up Docker Buildx
+      uses: docker/setup-buildx-action@v3
+    - name: Login to Ali Docker
+      uses: docker/login-action@v3
+      with:
+        registry: ${{ env.REGISTRY }}
+        username: ${{ env.REGISTRY_USERNAME }}
+        password: ${{ env.REGISTRY_PASSWORD }}
+    - name: Build and push
+      id: docker_build
+      uses: docker/build-push-action@v5
+      with:
+        context: .
+        push: true
+        tags: |
+          ${{ env.FULL_IMAGE }}
+          ${{ env.LATEST_IMAGE }}
+        platforms: linux/arm64 #,linux/amd64
+        cache-from: type=registry,ref=${{ env.CACHE_IMAGE }}
+        cache-to: type=registry,ref=${{ env.CACHE_IMAGE }},mode=max
+      env: 
+        FULL_IMAGE: ${{ env.FULL_IMAGE }}

Dockerfile

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+# copy from https://github.com/StevenJSCF/OpenVoice/blob/update-docs/docs/DockerFile
+# Use the base image of Ubuntu
+FROM ubuntu:22.04  
+# as builder
+
+ENV PYTHON_VERSION=python3.10
+
+# Update the system and install necessary dependencies
+RUN apt-get update && \
+    apt install software-properties-common -y && \
+    add-apt-repository ppa:deadsnakes/ppa -y && \
+    DEBIAN_FRONTEND=noninteractive apt-get install -y \
+    sudo \
+    $PYTHON_VERSION \
+    $PYTHON_VERSION-dev \
+    python3-distutils \
+    python3-pip \
+    ffmpeg \
+    wget \
+    curl \
+    git \
+    aria2 unzip && \
+    ln -sf /usr/bin/$PYTHON_VERSION /usr/bin/python3 && \
+    ln -sf /usr/bin/python3 /usr/bin/python && \
+    pip install --upgrade pip
+
+RUN pip install gradio==3.50.2 langid faster-whisper whisper-timestamped unidecode eng-to-ipa pypinyin cn2an && \
+    pip cache purge
+
+WORKDIR /data
+
+# v2
+RUN wget https://myshell-public-repo-hosting.s3.amazonaws.com/openvoice/checkpoints_v2_0417.zip && \
+    unzip checkpoints_v2_0417.zip && \
+    rm -f checkpoints_v2_0417.zip
+
+# v1
+# RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/OpenVoice/resolve/main/checkpoints_1226.zip -d /data -o checkpoints_1226.zip && \
+#     unzip /data/checkpoints_1226.zip && \
+#     rm -rf /app/openvoice/checkpoints_1226.zip
+
+# Set the working directory in the container
+WORKDIR /app/openvoice
+
+ADD . .
+
+RUN pip install -e . && \
+    pip install soundfile librosa inflect jieba silero && \
+    pip cache purge && \
+    sed -i "s/demo.launch(debug=True, show_api=True, share=args.share)/demo.launch(server_name='0.0.0.0', debug=True, show_api=True, share=args.share)/" ./openvoice/openvoice_app.py && \
+    ln -sf /data/checkpoints_v2 ./checkpoints
+
+ENV HF_ENDPOINT=https://hf-mirror.com
+ENV LD_PRELOAD=$LD_PRELOAD:/usr/local/lib/$PYTHON_VERSION/dist-packages/scikit_learn.libs/libgomp-d22c30c5.so.1.0.0
+
+RUN mkdir -p /root/.cache/torch/hub && \
+    curl -sL https://github.com/snakers4/silero-vad/zipball/master -o /root/.cache/torch/hub/master.zip && \
+    curl -sL https://cdn-media.huggingface.co/frpc-gradio-0.2/frpc_linux_aarch64 -o /usr/local/lib/$PYTHON_VERSION/dist-packages/gradio/frpc_linux_aarch64_v0.2
+
+# v2
+RUN pip install git+https://github.com/myshell-ai/MeloTTS.git && \
+    pip cache purge && \
+    python3 -m unidic download
+
+# FROM  ubuntu:20.04
+# ENV  LANGUAGE zh_CN.UTF-8
+# ENV  LANG zh_CN.UTF-8
+# ENV  LC_ALL zh_CN.UTF-8
+# RUN apt-get update && apt-get install -y \
+#     locales \
+#     libxcb1 libgomp1 && \
+#   apt-get autoclean && rm -rf /var/lib/apt/lists/* && \
+#   locale-gen zh_CN && \
+#   locale-gen zh_CN.UTF-8
+
+# WORKDIR /workdir
+# COPY --from=builder /app/openvoice/dist/openvoice_app /workdir/openvoice
+
+# ENV HF_ENDPOINT=https://hf-mirror.com
+# ENV LD_PRELOAD=$LD_PRELOAD:/usr/local/lib/$PYTHON_VERSION/dist-packages/scikit_learn.libs/libgomp-d22c30c5.so.1.0.0
+
+# EXPOSE 7860
+# CMD ["./openvoice", "--share"]
+# Default command when the container is started
+CMD ["python3", "-m", "openvoice.openvoice_app_v2"]
+

openvoice/openvoice_app_v2.py

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+import os
+import torch
+import argparse
+import gradio as gr
+from zipfile import ZipFile
+import langid
+from openvoice import se_extractor
+from openvoice.api import BaseSpeakerTTS, ToneColorConverter
+from melo.api import TTS
+
+parser = argparse.ArgumentParser()
+parser.add_argument("--share", action='store_true', default=False, help="make link public")
+args = parser.parse_args()
+
+ckpt_base = 'checkpoints/base_speakers/ses'
+ckpt_converter = 'checkpoints/converter'
+device = 'cuda' if torch.cuda.is_available() else 'cpu'
+output_dir = 'outputs'
+os.makedirs(output_dir, exist_ok=True)
+
+tone_color_converter = ToneColorConverter(f'{ckpt_converter}/config.json', device=device)
+tone_color_converter.load_ckpt(f'{ckpt_converter}/checkpoint.pth')
+
+texts = {
+    'EN_NEWEST': "Did you ever hear a folk tale about a giant turtle?",  # The newest English base speaker model
+    'EN': "Did you ever hear a folk tale about a giant turtle?",
+    'ES': "El resplandor del sol acaricia las olas, pintando el cielo con una paleta deslumbrante.",
+    'FR': "La lueur dorée du soleil caresse les vagues, peignant le ciel d'une palette éblouissante.",
+    'ZH': "在这次vacation中，我们计划去Paris欣赏埃菲尔铁塔和卢浮宫的美景。",
+    'JP': "彼は毎朝ジョギングをして体を健康に保っています。",
+    'KR': "안녕하세요! 오늘은 날씨가 정말 좋네요.",
+}
+
+
+src_path = f'{output_dir}/tmp.wav'
+
+# Speed is adjustable
+speed = 1.0
+source_ses = {}
+tts_models = {}
+
+for language, text in texts.items():
+    tts_models[language] = TTS(language=language, device=device)
+    speaker_ids = model.hps.data.spk2id
+    for speaker_key in speaker_ids.keys():
+        speaker_id = speaker_ids[speaker_key]
+        speaker_key = speaker_key.lower().replace('_', '-')
+        source_ses[speaker_key] = torch.load(f'{ckpt_base}/{speaker_key}.pth', map_location=device)
+
+# This online demo mainly supports English and Chinese
+supported_languages = ['zh', 'en']
+
+def predict(prompt, style, audio_file_pth, agree):
+    # initialize a empty info
+    text_hint = ''
+    # agree with the terms
+    if agree == False:
+        text_hint += '[ERROR] Please accept the Terms & Condition!\n'
+        gr.Warning("Please accept the Terms & Condition!")
+        return (
+            text_hint,
+            None,
+            None,
+        )
+
+    # first detect the input language
+    language_predicted = langid.classify(prompt)[0].strip()  
+    print(f"Detected language:{language_predicted}")
+
+    if language_predicted not in supported_languages:
+        text_hint += f"[ERROR] The detected language {language_predicted} for your input text is not in our Supported Languages: {supported_languages}\n"
+        gr.Warning(
+            f"The detected language {language_predicted} for your input text is not in our Supported Languages: {supported_languages}"
+        )
+
+        return (
+            text_hint,
+            None,
+            None,
+        )
+
+    if language_predicted == "zh":
+        tts_model = tts_models[language_predicted]
+        source_se = source_ses[language_predicted]
+        language = 'Chinese'
+        if style not in ['default']:
+            text_hint += f"[ERROR] The style {style} is not supported for Chinese, which should be in ['default']\n"
+            gr.Warning(f"The style {style} is not supported for Chinese, which should be in ['default']")
+            return (
+                text_hint,
+                None,
+                None,
+            )
+
+    else:
+        tts_model = tts_models[language_predicted]
+        if style == 'default':
+            source_se = source_ses[language_predicted]
+        else:
+            source_se = source_ses[language_predicted]
+        language = 'English'
+        if style not in ['default', 'whispering', 'shouting', 'excited', 'cheerful', 'terrified', 'angry', 'sad', 'friendly']:
+            text_hint += f"[ERROR] The style {style} is not supported for English, which should be in ['default', 'whispering', 'shouting', 'excited', 'cheerful', 'terrified', 'angry', 'sad', 'friendly']\n"
+            gr.Warning(f"The style {style} is not supported for English, which should be in ['default', 'whispering', 'shouting', 'excited', 'cheerful', 'terrified', 'angry', 'sad', 'friendly']")
+            return (
+                text_hint,
+                None,
+                None,
+            )
+
+    speaker_wav = audio_file_pth
+
+    if len(prompt) < 2:
+        text_hint += f"[ERROR] Please give a longer prompt text \n"
+        gr.Warning("Please give a longer prompt text")
+        return (
+            text_hint,
+            None,
+            None,
+        )
+    if len(prompt) > 200:
+        text_hint += f"[ERROR] Text length limited to 200 characters for this demo, please try shorter text. You can clone our open-source repo and try for your usage \n"
+        gr.Warning(
+            "Text length limited to 200 characters for this demo, please try shorter text. You can clone our open-source repo for your usage"
+        )
+        return (
+            text_hint,
+            None,
+            None,
+        )
+
+    # note diffusion_conditioning not used on hifigan (default mode), it will be empty but need to pass it to model.inference
+    try:
+        target_se, audio_name = se_extractor.get_se(speaker_wav, tone_color_converter, vad=False)
+        # target_se, audio_name = se_extractor.get_se(speaker_wav, tone_color_converter, target_dir='processed', vad=True)
+    except Exception as e:
+        text_hint += f"[ERROR] Get target tone color error {str(e)} \n"
+        gr.Warning(
+            "[ERROR] Get target tone color error {str(e)} \n"
+        )
+        return (
+            text_hint,
+            None,
+            None,
+        )
+
+    src_path = f'{output_dir}/tmp.wav'
+    # tts_model.tts(prompt, src_path, speaker=style, language=language)
+
+    tts_model.tts_to_file(prompt, speaker_id, src_path, speed=speed)
+
+    save_path = f'{output_dir}/output.wav'
+    # Run the tone color converter
+    encode_message = "@MyShell"
+    tone_color_converter.convert(
+        audio_src_path=src_path, 
+        src_se=source_se, 
+        tgt_se=target_se, 
+        output_path=save_path,
+        message=encode_message)
+
+    text_hint += f'''Get response successfully \n'''
+
+    return (
+        text_hint,
+        save_path,
+        speaker_wav,
+    )
+
+
+title = "MyShell OpenVoice"
+
+description = """
+We introduce OpenVoice, a versatile instant voice cloning approach that requires only a short audio clip from the reference speaker to replicate their voice and generate speech in multiple languages. OpenVoice enables granular control over voice styles, including emotion, accent, rhythm, pauses, and intonation, in addition to replicating the tone color of the reference speaker. OpenVoice also achieves zero-shot cross-lingual voice cloning for languages not included in the massive-speaker training set.
+"""
+
+markdown_table = """
+<div align="center" style="margin-bottom: 10px;">
+
+|               |               |               |
+| :-----------: | :-----------: | :-----------: | 
+| **OpenSource Repo** | **Project Page** | **Join the Community** |        
+| <div style='text-align: center;'><a style="display:inline-block,align:center" href='https://github.com/myshell-ai/OpenVoice'><img src='https://img.shields.io/github/stars/myshell-ai/OpenVoice?style=social' /></a></div> | [OpenVoice](https://research.myshell.ai/open-voice) | [![Discord](https://img.shields.io/discord/1122227993805336617?color=%239B59B6&label=%20Discord%20)](https://discord.gg/myshell) |
+
+</div>
+"""
+
+markdown_table_v2 = """
+<div align="center" style="margin-bottom: 2px;">
+
+|               |               |               |              |
+| :-----------: | :-----------: | :-----------: | :-----------: | 
+| **OpenSource Repo** | <div style='text-align: center;'><a style="display:inline-block,align:center" href='https://github.com/myshell-ai/OpenVoice'><img src='https://img.shields.io/github/stars/myshell-ai/OpenVoice?style=social' /></a></div> |  **Project Page** |  [OpenVoice](https://research.myshell.ai/open-voice) |     
+
+| | |
+| :-----------: | :-----------: |
+**Join the Community** |   [![Discord](https://img.shields.io/discord/1122227993805336617?color=%239B59B6&label=%20Discord%20)](https://discord.gg/myshell) |
+
+</div>
+"""
+content = """
+<div>
+  <strong>If the generated voice does not sound like the reference voice, please refer to <a href='https://github.com/myshell-ai/OpenVoice/blob/main/docs/QA.md'>this QnA</a>.</strong> <strong>For multi-lingual & cross-lingual examples, please refer to <a href='https://github.com/myshell-ai/OpenVoice/blob/main/demo_part2.ipynb'>this jupyter notebook</a>.</strong>
+  This online demo mainly supports <strong>English</strong>. The <em>default</em> style also supports <strong>Chinese</strong>. But OpenVoice can adapt to any other language as long as a base speaker is provided.
+</div>
+"""
+wrapped_markdown_content = f"<div style='border: 1px solid #000; padding: 10px;'>{content}</div>"
+
+
+examples = [
+    [
+        "今天天气真好，我们一起出去吃饭吧。",
+        'default',
+        "resources/demo_speaker1.mp3",
+        True,
+    ],[
+        "This audio is generated by open voice with a half-performance model.",
+        'whispering',
+        "resources/demo_speaker2.mp3",
+        True,
+    ],
+    [
+        "He hoped there would be stew for dinner, turnips and carrots and bruised potatoes and fat mutton pieces to be ladled out in thick, peppered, flour-fattened sauce.",
+        'sad',
+        "resources/demo_speaker0.mp3",
+        True,
+    ],
+]
+
+with gr.Blocks(analytics_enabled=False) as demo:
+
+    with gr.Row():
+        with gr.Column():
+            with gr.Row():
+                gr.Markdown(
+                    """
+                    ## <img src="https://huggingface.co/spaces/myshell-ai/OpenVoice/raw/main/logo.jpg" height="40"/>
+                    """
+                )
+            with gr.Row():    
+                gr.Markdown(markdown_table_v2)
+            with gr.Row():
+                gr.Markdown(description)
+        # with gr.Column():
+        #     gr.Video('https://github.com/myshell-ai/OpenVoice/assets/40556743/3cba936f-82bf-476c-9e52-09f0f417bb2f', autoplay=True)
+
+    with gr.Row():
+        gr.HTML(wrapped_markdown_content)
+
+    with gr.Row():
+        with gr.Column():
+            input_text_gr = gr.Textbox(
+                label="Text Prompt",
+                info="One or two sentences at a time is better. Up to 200 text characters.",
+                value="He hoped there would be stew for dinner, turnips and carrots and bruised potatoes and fat mutton pieces to be ladled out in thick, peppered, flour-fattened sauce.",
+            )
+            style_gr = gr.Dropdown(
+                label="Style",
+                info="Select a style of output audio for the synthesised speech. (Chinese only support 'default' now)",
+                choices=['default', 'whispering', 'cheerful', 'terrified', 'angry', 'sad', 'friendly'],
+                max_choices=1,
+                value="default",
+            )
+            ref_gr = gr.Audio(
+                label="Reference Audio",
+                info="Click on the ✎ button to upload your own target speaker audio",
+                type="filepath",
+                value="resources/demo_speaker2.mp3",
+            )
+            tos_gr = gr.Checkbox(
+                label="Agree",
+                value=False,
+                info="I agree to the terms of the cc-by-nc-4.0 license-: https://github.com/myshell-ai/OpenVoice/blob/main/LICENSE",
+            )
+
+            tts_button = gr.Button("Send", elem_id="send-btn", visible=True)
+
+
+        with gr.Column():
+            out_text_gr = gr.Text(label="Info")
+            audio_gr = gr.Audio(label="Synthesised Audio", autoplay=True)
+            ref_audio_gr = gr.Audio(label="Reference Audio Used")
+
+            gr.Examples(examples,
+                        label="Examples",
+                        inputs=[input_text_gr, style_gr, ref_gr, tos_gr],
+                        outputs=[out_text_gr, audio_gr, ref_audio_gr],
+                        fn=predict,
+                        cache_examples=False,)
+            tts_button.click(predict, [input_text_gr, style_gr, ref_gr, tos_gr], outputs=[out_text_gr, audio_gr, ref_audio_gr])
+
+demo.queue()  
+demo.launch(debug=True, show_api=True, share=args.share)