feat: gradio页面改成中文；优化提示

parler_tts/app.py

@@ -147,27 +147,25 @@ with gr.Blocks(css=css) as block:
     )
     gr.HTML(
         f"""
-        <p><a href="https://github.com/huggingface/parler-tts"> Parler-TTS</a> is a training and inference library for
-        high-fidelity text-to-speech (TTS) models.</p> 
-        <p>The models demonstrated here, Parler-TTS <a href="https://huggingface.co/parler-tts/parler-tts-mini-v1">Mini v1</a> and <a href="https://huggingface.co/parler-tts/parler-tts-large-v1">Large v1</a>, 
-        are trained using 45k hours of narrated English audiobooks. It generates high-quality speech 
-        with features that can be controlled using a simple text prompt (e.g. gender, background noise, speaking rate, pitch and reverberation).</p>
+        <p><a href="https://github.com/huggingface/parler-tts"> Parler-TTS</a> 是一个用于高保真文本转语音 (TTS) 模型的训练和推理库。</p> 
+        <p>这里展示的模型 Parler-TTS <a href="https://huggingface.co/parler-tts/parler-tts-mini-v1">Mini v1</a> 和 <a href="https://huggingface.co/parler-tts/parler-tts-large-v1">Large v1</a>
+        是使用 45000 小时的英语有声读物进行训练的。它可以生成高质量的语音，并且可以使用简单的文本提示来控制其功能（例如性别、背景噪音、语速、音调和混响）。</p>
 
-        <p>By default, Parler-TTS generates 🎲 random voice. To ensure 🎯 <b> speaker consistency </b> across generations, these checkpoints were also trained on 34 speakers, characterized by name (e.g. Jon, Lea, Gary, Jenna, Mike, Laura).</p>
+        <p>默认情况下，Parler-TTS会生成 🎲随机语音。为了确保  🎯 <b>说话者在生成过程中的一致性</b>, 这些模型还针对34位说话者进行了训练，并以姓名为特征（例如 Jon、Lea、Gary、Jenna、Mike、Laura）。</p>
         
-        <p>To take advantage of this, simply adapt your text description to specify which speaker to use: `Jon's voice is monotone...`</p>
+        <p>要利用此功能，只需调整文本描述以指定要使用的说话者： `Jon's voice is monotone...`</p>
         """
     )
     with gr.Row():
         with gr.Column():
-            input_text = gr.Textbox(label="Input Text", lines=2, value=default_text, elem_id="input_text")
-            description = gr.Textbox(label="Description", lines=2, value=default_description,
+            input_text = gr.Textbox(label="输入文本", lines=2, value=default_text, elem_id="input_text")
+            description = gr.Textbox(label="描述", lines=2, value=default_description,
                                      elem_id="input_description")
-            use_large = gr.Checkbox(value=False, label="Use Large checkpoint",
-                                    info="Generate with Parler-TTS Large v1 instead of Mini v1 - Better but way slower.")
-            run_button = gr.Button("Generate Audio", variant="primary")
+            use_large = gr.Checkbox(value=False, label="使用Large模型",
+                                    info="使用Parler-TTS Large v1生成效果更好；使用Mini v1生成速度更快")
+            run_button = gr.Button("生成音频", variant="primary")
         with gr.Column():
-            audio_out = gr.Audio(label="Parler-TTS generation", type="numpy", elem_id="audio_out")
+            audio_out = gr.Audio(label="Parler-TTS生成", type="numpy", elem_id="audio_out")
 
     inputs = [input_text, description, use_large]
     outputs = [audio_out]
@@ -175,20 +173,19 @@ with gr.Blocks(css=css) as block:
     gr.Examples(examples=examples, fn=gen_tts, inputs=inputs, outputs=outputs, cache_examples=True)
     gr.HTML(
         """
-        <p>Tips for ensuring good generation:
+        <p>提示:
         <ul>
-            <li>Include the term "very clear audio" to generate the highest quality audio, and "very noisy audio" for high levels of background noise</li>
-            <li>Punctuation can be used to control the prosody of the generations, e.g. use commas to add small breaks in speech</li>
-            <li>The remaining speech features (gender, speaking rate, pitch and reverberation) can be controlled directly through the prompt</li>
+            <li>文本中包含"very clear audio"以生成最高质量的音频, 以及"very noisy audio"以产生高水平的背景噪音</li>
+            <li>标点符号可用于控制代际韵律，例如可以使用逗号在语音中添加小停顿</li>
+            <li>其余语音特征（性别、语速、音调和混响）可以通过文本直接控制</li>
         </ul>
         </p>
 
-        <p>Parler-TTS can be much faster. We give some tips on how to generate much more quickly in this <a href="https://github.com/huggingface/parler-tts/blob/main/INFERENCE.md"> inference guide</a>. Think SDPA, torch.compile, batching and streaming!</p>
+        <p>Parler-TTS可以更快。 在<a href="https://github.com/huggingface/parler-tts/blob/main/INFERENCE.md"> 推理指南</a>给出了一些快速生成的方法，包括SDPA, torch.compile, batching and streaming!</p>
         
-        <p>If you want to find out more about how this model was trained and even fine-tune it yourself, check-out the 
-        <a href="https://github.com/huggingface/parler-tts"> Parler-TTS</a> repository on GitHub.</p>
+        <p> 如果您想了解有关如何训练该模型的更多信息，甚至对其进行微调，请查看 GitHub 上
+        <a href="https://github.com/huggingface/parler-tts"> Parler-TTS</a> repository</p>
         
-        <p>The Parler-TTS codebase and its associated checkpoints are licensed under <a href='https://github.com/huggingface/parler-tts?tab=Apache-2.0-1-ov-file#readme'> Apache 2.0</a>.</p>
         """
     )
 

启动器.ipynb

@@ -7,41 +7,29 @@
     "tags": []
    },
    "source": [
-    "## 说明\n",
-    "- 启动需要加载模型，需要3分钟左右的时间\n",
+    "## 项目介绍\n",
+    "\n",
+    "- 原项目地址：https://huggingface.co/spaces/parler-tts/parler_tts\n",
+    "- parler-tts：一款使用简单文本提示即可生成高保真语音的工具\n",
+    "## 使用说明\n",
     "- 启动和重启 Notebook 点上方工具栏中的「重启并运行所有单元格」。出现如下内容就算成功了：\n",
     "    - `Running on local URL:  http://0.0.0.0:7860`\n",
     "    - `Running on public URL: https://xxxxxxxxxxxxxxx.gradio.live`\n",
     "- 通过以下方式开启页面：\n",
+    "    - 加载模型需要3分钟左右时间，请耐心等待\n",
     "    - 控制台打开「自定义服务」了，访问自定义服务端口号设置为7860\n",
     "    - 直接打开显示的公开链接`public URL`\n",
-    "\n",
-    "## 功能介绍\n",
-    "- 原项目地址：https://huggingface.co/spaces/parler-tts/parler_tts\n",
-    "- parler-tts：一款使用简单文本提示即可生成高保真语音的工具"
+    "\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "53a96614-e2d2-4710-a82b-0d5ca9cb9872",
    "metadata": {
-    "tags": [],
-    "ExecuteTime": {
-     "end_time": "2024-08-19T02:28:47.760610Z",
-     "start_time": "2024-08-19T02:28:47.612252Z"
-    }
+    "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "start.sh: line 3: cd: /root/Tile-Upscaler: No such file or directory\r\n",
-      "python: can't open file '/Users/chenyihang/work/project/parler-tts-build/app.py': [Errno 2] No such file or directory\r\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# 启动\n",
     "!sh start.sh"