Update app.py

app.py

@@ -1,217 +1,218 @@
-import gradio as gr
-import edge_tts
-import aiohttp
-
-import asyncio
-import tempfile, time
-from typing import TypedDict, List, Dict
-
-
-
-
-class VoiceTag(TypedDict, total=False):
-    ContentCategories: List[str]
-    VoicePersonalities: List[str]
-
-
-class VoiceMetadata(TypedDict, total=False):
-    Name: str
-    ShortName: str
-    Gender: str
-    Locale: str
-    SuggestedCodec: str
-    FriendlyName: str
-    Status: str
-    VoiceTag: VoiceTag
-
-
-async def list_voices() -> Dict[str, VoiceMetadata]:
-    """
-    Fetch available voices from Microsoft Edge TTS.
-
-    Returns:
-        Dict[str, VoiceMetadata]: A dictionary mapping display names
-        (e.g. "en-US-JennyNeural - Female") to their corresponding in the form like { 'Name': 'Microsoft Server Speech Text to Speech Voice (zh-CN, XiaoxiaoNeural)', 'ShortName': 'zh-CN-XiaoxiaoNeural', 'Gender': 'Female', 'Locale': 'zh-CN', 'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3', 'FriendlyName': 'Microsoft Xiaoxiao Online (Natural) - Chinese (Mainland)', 'Status': 'GA', 'VoiceTag': { 'ContentCategories': ['News', 'Novel'], 'VoicePersonalities': ['Warm'] } }
-    """
-
-
-
-    priority_order = [
-        "zh",       # 中文优先
-        "en-US",    # 美式英语
-        "en-GB",    # 英式英语
-        "en",       # 其他英语
-        "hi",       # 印地语
-        "es",       # 西班牙语
-        "ar",       # 现代标准阿拉伯语
-        "fr",       # 法语
-        "bn",       # 孟加拉语
-        "pt",       # 葡萄牙语
-        "ru",       # 俄语
-        "id",       # 印尼语
-        "ur",       # 乌尔都语
-        "de",       # 德语
-        "ja",       # 日语
-        "pcm",      # 尼日利亚皮钦语
-        "ar-EG",    # 埃及阿拉伯语
-        "mr",       # 马拉地语
-        "vi",       # 越南语
-        "te",       # 泰卢固语
-        "ha",       # 豪萨语
-        "tr",       # 土耳其语
-        "pa",       # 西旁遮普语
-        "sw",       # 斯瓦希里语
-        "fil",      # 他加禄语
-        "ta",       # 泰米尔语
-        "yue",      # 粤语
-        "wuu",      # 吴语
-        "fa",       # 波斯语
-        "ko",       # 韩语
-        "th",       # 泰语
-        "jv",       # 爪哇语
-    ]
-
-    lang_priority = {lang: i for i, lang in enumerate(priority_order)}
-
-    def get_priority(short_name: str) -> tuple[int, str]:
-        """
-        Return (priority_rank, short_name) for stable sorting.
-        """
-        for prefix, rank in lang_priority.items():
-            if short_name.startswith(prefix):
-                return (rank, short_name)
-        return (len(priority_order), short_name)  # 其他语言排最后，内部按 short_name
-
-    n = 5
-    for i in range(n):
-        try:
-            voices = await edge_tts.list_voices()
-            break
-        except Exception as e:
-            time.sleep(1 * i)
-            print("Retrying due to handshake error:", e)
-            if i == n - 1:
-                raise e
-
-    # ✅ 先按优先级，再按 short_name 排序，保证同类不乱
-    voices_sorted = sorted(voices, key=lambda v: get_priority(v["ShortName"]))
-
-    return {f"{v['ShortName']} - {v['Gender']}": v for v in voices_sorted}
-
-
-async def text_to_speech(text: str, voice: str, rate: int = 0, pitch: int = 0) -> str:
-    """
-    Convert input text to speech using Microsoft Edge TTS.
-
-    Args:
-        text (str): The text to synthesize into speech.
-        voice (str): The selected voice in the format "ShortName - Gender".
-        rate (int, optional): Speech rate adjustment percentage. Default is 0.
-        pitch (int, optional): Pitch adjustment in Hz. Default is 0.
-
-    Returns:
-        str: Path to the generated MP3 file.
-    """
-
-    voice_short_name = voice.split(" - ")[0]
-    rate_str = f"{rate:+d}%"
-    pitch_str = f"{pitch:+d}Hz"
-
-    n = 5
-    for i in range(n):
-        try:
-            communicate = edge_tts.Communicate(
-                text, voice_short_name, rate=rate_str, pitch=pitch_str
-            )
-            break
-        except aiohttp.client_exceptions.WSServerHandshakeError as e:
-            time.sleep(1 * i)
-            print("Retrying due to handshake error:", e)
-            if i == n - 1:
-                raise e
-
-    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file:
-        tmp_path = tmp_file.name
-        await communicate.save(tmp_path)
-
-    return tmp_path#后面output到gr.Audio上，通过程序交互的时候gradio会将其转化为url，很神奇！
-
-
-i18n = gr.I18n(
-    en={"pageTitle": "# 🎙️ Microsoft Online Edge TTS & MCP Server", 
-    "generateSpeech": "Generate Speech",
-    'description':"""Convert text to speech using the free [Microsoft Edge TTS](https://github.com/rany2/edge-tts), API and MCP are available. Made by [MathJoy](https://www.cnblogs.com/imath).""",
-    "selectVoice":"Select Voice",
-    "speechRateAdjustment":"Speech Rate Adjustment (%)",
-    "pitchAdjustment":"Pitch Adjustment (Hz)",
-    "inputText":"Input Text"
-    },
-    zh={"pageTitle": "# 🎙️ 微软线上 Edge TTS & MCP", 
-    "generateSpeech": "生成语音",
-    'description':"""文本语音合成，基于免费的[Microsoft Edge TTS](https://github.com/rany2/edge-tts)，由[MathJoy](https://www.cnblogs.com/imath)精心制作，也可通过API或MCP来使用。""",
-    "selectVoice":"选择音色",
-    "speechRateAdjustment":"语速调整 (%)",
-    "pitchAdjustment":"音量调整 (Hz)",
-    "inputText":"输入文字"
-    }
-)
-
-async def create_UI():
-
-
-    voices = await list_voices()
-    
-    with gr.Blocks(title="Microsoft Edge TTS & MCP",analytics_enabled=False) as UI:
-        gr.api(#默认只在fn处暴露工具，这里主动暴露这个tool
-            list_voices
-        )
-   
-        gr.Markdown(i18n("pageTitle"))
-        
-        with gr.Row():
-            with gr.Column(scale=1):
-                gr.Markdown(i18n("description"))
-                
-        with gr.Row():
-            with gr.Column():
-                text_input = gr.Textbox(label=i18n("inputText"), lines=5,value='Your text here')
-                
-                voiceList=list(voices.keys())
-                voice_dropdown = gr.Dropdown(
-                    choices=voiceList,
-                    label=i18n("selectVoice"),
-                    value=voiceList[0])
-
-                rate_slider = gr.Slider(
-                    minimum=-50, maximum=50, value=0,
-                    label=i18n("speechRateAdjustment"), step=1
-                )
-
-                pitch_slider = gr.Slider(
-                    minimum=-20, maximum=20, value=0,
-                    label=i18n("pitchAdjustment"), step=1
-                )
-                
-                generate_btn = gr.Button(i18n("generateSpeech"), variant="primary")
-                audio_output = gr.Audio(label="Generated Audio", type="filepath",autoplay=True)
-                
-                generate_btn.click(
-                    fn=text_to_speech,
-                    inputs=[text_input, voice_dropdown, rate_slider, pitch_slider],
-                    outputs=[audio_output]
-                )
-    
-    return UI
-
-
-async def main():
-    UI = await create_UI()
-    UI.queue(default_concurrency_limit=50)
-    UI.launch(
-        # show_api=False,
-        i18n=i18n,
-        mcp_server=True  # ✅ make this an MCP server
-    )
-
-if __name__ == "__main__":
-    asyncio.run(main())
+import gradio as gr
+import edge_tts
+import aiohttp
+
+import asyncio
+import tempfile, time
+from typing import TypedDict, List, Dict
+from pathlib import Path
+
+
+
+class VoiceTag(TypedDict, total=False):
+    ContentCategories: List[str]
+    VoicePersonalities: List[str]
+
+
+class VoiceMetadata(TypedDict, total=False):
+    Name: str
+    ShortName: str
+    Gender: str
+    Locale: str
+    SuggestedCodec: str
+    FriendlyName: str
+    Status: str
+    VoiceTag: VoiceTag
+
+
+async def list_voices() -> Dict[str, VoiceMetadata]:
+    """
+    Fetch available voices from Microsoft Edge TTS.
+
+    Returns:
+        Dict[str, VoiceMetadata]: A dictionary mapping display names
+        (e.g. "en-US-JennyNeural - Female") to their corresponding in the form like { 'Name': 'Microsoft Server Speech Text to Speech Voice (zh-CN, XiaoxiaoNeural)', 'ShortName': 'zh-CN-XiaoxiaoNeural', 'Gender': 'Female', 'Locale': 'zh-CN', 'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3', 'FriendlyName': 'Microsoft Xiaoxiao Online (Natural) - Chinese (Mainland)', 'Status': 'GA', 'VoiceTag': { 'ContentCategories': ['News', 'Novel'], 'VoicePersonalities': ['Warm'] } }
+    """
+
+
+
+    priority_order = [
+        "zh",       # 中文优先
+        "en-US",    # 美式英语
+        "en-GB",    # 英式英语
+        "en",       # 其他英语
+        "hi",       # 印地语
+        "es",       # 西班牙语
+        "ar",       # 现代标准阿拉伯语
+        "fr",       # 法语
+        "bn",       # 孟加拉语
+        "pt",       # 葡萄牙语
+        "ru",       # 俄语
+        "id",       # 印尼语
+        "ur",       # 乌尔都语
+        "de",       # 德语
+        "ja",       # 日语
+        "pcm",      # 尼日利亚皮钦语
+        "ar-EG",    # 埃及阿拉伯语
+        "mr",       # 马拉地语
+        "vi",       # 越南语
+        "te",       # 泰卢固语
+        "ha",       # 豪萨语
+        "tr",       # 土耳其语
+        "pa",       # 西旁遮普语
+        "sw",       # 斯瓦希里语
+        "fil",      # 他加禄语
+        "ta",       # 泰米尔语
+        "yue",      # 粤语
+        "wuu",      # 吴语
+        "fa",       # 波斯语
+        "ko",       # 韩语
+        "th",       # 泰语
+        "jv",       # 爪哇语
+    ]
+
+    lang_priority = {lang: i for i, lang in enumerate(priority_order)}
+
+    def get_priority(short_name: str) -> tuple[int, str]:
+        """
+        Return (priority_rank, short_name) for stable sorting.
+        """
+        for prefix, rank in lang_priority.items():
+            if short_name.startswith(prefix):
+                return (rank, short_name)
+        return (len(priority_order), short_name)  # 其他语言排最后，内部按 short_name
+
+    n = 5
+    for i in range(n):
+        try:
+            voices = await edge_tts.list_voices()
+            break
+        except Exception as e:
+            time.sleep(1 * i)
+            print("Retrying due to handshake error:", e)
+            if i == n - 1:
+                raise e
+
+    # ✅ 先按优先级，再按 short_name 排序，保证同类不乱
+    voices_sorted = sorted(voices, key=lambda v: get_priority(v["ShortName"]))
+
+    return {f"{v['ShortName']} - {v['Gender']}": v for v in voices_sorted}
+
+
+async def text_to_speech(text: str, voice: str, rate: int = 0, pitch: int = 0) -> str:
+    """
+    Convert input text to speech using Microsoft Edge TTS.
+
+    Args:
+        text (str): The text to synthesize into speech.
+        voice (str): The selected voice in the format "ShortName - Gender".
+        rate (int, optional): Speech rate adjustment percentage. Default is 0.
+        pitch (int, optional): Pitch adjustment in Hz. Default is 0.
+
+    Returns:
+        str: Path to the generated MP3 file.
+    """
+
+    voice_short_name = voice.split(" - ")[0]
+    rate_str = f"{rate:+d}%"
+    pitch_str = f"{pitch:+d}Hz"
+
+    n = 5
+    for i in range(n):
+        try:
+            communicate = edge_tts.Communicate(
+                text, voice_short_name, rate=rate_str, pitch=pitch_str
+            )
+            break
+        except aiohttp.client_exceptions.WSServerHandshakeError as e:
+            time.sleep(1 * i)
+            print("Retrying due to handshake error:", e)
+            if i == n - 1:
+                raise e
+
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file:
+        tmp_path = tmp_file.name
+        await communicate.save(tmp_path)
+
+    path = Path(tmp_path)
+    return path.as_posix()#后面output到gr.Audio上，通过程序交互的时候gradio会将其转化为url，很神奇！
+
+
+i18n = gr.I18n(
+    en={"pageTitle": "# 🎙️ Microsoft Online Edge TTS & MCP Server", 
+    "generateSpeech": "Generate Speech",
+    'description':"""Convert text to speech using the free [Microsoft Edge TTS](https://github.com/rany2/edge-tts), API and MCP are available. Made by [MathJoy](https://www.cnblogs.com/imath).""",
+    "selectVoice":"Select Voice",
+    "speechRateAdjustment":"Speech Rate Adjustment (%)",
+    "pitchAdjustment":"Pitch Adjustment (Hz)",
+    "inputText":"Input Text"
+    },
+    zh={"pageTitle": "# 🎙️ 微软线上 Edge TTS & MCP", 
+    "generateSpeech": "生成语音",
+    'description':"""文本语音合成，基于免费的[Microsoft Edge TTS](https://github.com/rany2/edge-tts)，由[MathJoy](https://www.cnblogs.com/imath)精心制作，也可通过API或MCP来使用。""",
+    "selectVoice":"选择音色",
+    "speechRateAdjustment":"语速调整 (%)",
+    "pitchAdjustment":"音量调整 (Hz)",
+    "inputText":"输入文字"
+    }
+)
+
+async def create_UI():
+
+
+    voices = await list_voices()
+    
+    with gr.Blocks(title="Microsoft Edge TTS & MCP",analytics_enabled=False) as UI:
+        gr.api(#默认只在fn处暴露工具，这里主动暴露这个tool
+            list_voices
+        )
+
+        gr.Markdown(i18n("pageTitle"))
+        
+        with gr.Row():
+            with gr.Column(scale=1):
+                gr.Markdown(i18n("description"))
+                
+        with gr.Row():
+            with gr.Column():
+                text_input = gr.Textbox(label=i18n("inputText"), lines=5,value='Your text here')
+                
+                voiceList=list(voices.keys())
+                voice_dropdown = gr.Dropdown(
+                    choices=voiceList,
+                    label=i18n("selectVoice"),
+                    value=voiceList[0])
+
+                rate_slider = gr.Slider(
+                    minimum=-50, maximum=50, value=0,
+                    label=i18n("speechRateAdjustment"), step=1
+                )
+
+                pitch_slider = gr.Slider(
+                    minimum=-20, maximum=20, value=0,
+                    label=i18n("pitchAdjustment"), step=1
+                )
+                
+                generate_btn = gr.Button(i18n("generateSpeech"), variant="primary")
+                audio_output = gr.Audio(label="Generated Audio", type="filepath",autoplay=True)
+                
+                generate_btn.click(
+                    fn=text_to_speech,
+                    inputs=[text_input, voice_dropdown, rate_slider, pitch_slider],
+                    outputs=[audio_output]
+                )
+    
+    return UI
+
+
+async def main():
+    UI = await create_UI()
+    UI.queue(default_concurrency_limit=50)
+    UI.launch(
+        # show_api=False,
+        i18n=i18n,
+        mcp_server=True  # ✅ make this an MCP server
+    )
+
+if __name__ == "__main__":
+    asyncio.run(main())