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README.md

@@ -1,12 +1,6 @@
 ---
-title: Grd
-emoji: 🌖
-colorFrom: green
-colorTo: yellow
+title: grd
+app_file: tts_gradio.py
 sdk: gradio
 sdk_version: 4.36.1
-app_file: app.py
-pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

tts_gradio.py

@@ -0,0 +1,255 @@
+import warnings
+warnings.filterwarnings("ignore")
+
+# 外部库
+import re
+import requests
+import argparse
+import json
+import os
+import re
+import tempfile
+# import librosa
+# import numpy as np
+# import torch
+# from torch import no_grad, LongTensor
+# import commons
+import gradio as gr
+# import gradio.utils as gr_utils
+# import gradio.processing_utils as gr_processing_utils
+
+all_example = "my voice is my passport verify me."
+
+microsoft_model_list = [
+    "en-US-AvaMultilingualNeural"
+]
+
+openai_model_list = [
+    "alloy",
+    "echo",
+    "fable",
+    "onyx",
+    "nova",
+    "shimmer"
+]
+
+eleven_voice_id = [
+    "21m00Tcm4TlvDq8ikWAM",
+    "29vD33N1CtxCmqQRPOHJ",
+    "2EiwWnXFnvU5JabPnv8n",
+    "5Q0t7uMcjvnagumLfvZi",
+    "AZnzlk1XvdvUeBnXmlld",
+    "CYw3kZ02Hs0563khs1Fj",
+    "D38z5RcWu1voky8WS1ja",
+    "EXAVITQu4vr4xnSDxMaL",
+    "ErXwobaYiN019PkySvjV",
+    "GBv7mTt0atIp3Br8iCZE",
+    "IKne3meq5aSn9XLyUdCD",
+    "JBFqnCBsd6RMkjVDRZzb",
+    "LcfcDJNUP1GQjkzn1xUU",
+    "MF3mGyEYCl7XYWbV9V6O",
+    "N2lVS1w4EtoT3dr4eOWO",
+    "ODq5zmih8GrVes37Dizd",
+    "SOYHLrjzK2X1ezoPC6cr",
+    "TX3LPaxmHKxFdv7VOQHJ",
+    "ThT5KcBeYPX3keUQqHPh",
+    "TxGEqnHWrfWFTfGW9XjX",
+    "VR6AewLTigWG4xSOukaG",
+    "XB0fDUnXU5powFXDhCwa",
+    "Xb7hH8MSUJpSbSDYk0k2",
+    "XrExE9yKIg1WjnnlVkGX",
+    "ZQe5CZNOzWyzPSCn5a3c",
+    "Zlb1dXrM653N07WRdFW3",
+    "bVMeCyTHy58xNoL34h3p",
+    "flq6f7yk4E4fJM5XTYuZ",
+    "g5CIjZEefAph4nQFvHAz",
+    "iP95p4xoKVk53GoZ742B",
+    "jBpfuIE2acCO8z3wKNLl",
+    "jsCqWAovK2LkecY7zXl4",
+    "nPczCjzI2devNBz1zQrb",
+    "oWAxZDx7w5VEj9dCyTzz",
+    "onwK4e9ZLuTAKqWW03F9",
+    "pFZP5JQG7iQjIQuC4Bku",
+    "pMsXgVXv3BLzUgSXRplE",
+    "pNInz6obpgDQGcFmaJgB",
+    "piTKgcLEGmPE4e6mEKli",
+    "pqHfZKP75CvOlQylNhV4",
+    "t0jbNlBVZ17f02VDIeMI",
+    "yoZ06aMxZJJ28mfd3POQ",
+    "z9fAnlkpzviPz146aGWa",
+    "zcAOhNBS3c14rBihAFp1",
+    "zrHiDhphv9ZnVXBqCLjz",
+]
+
+eleven_name = [
+    "Rachel",
+    "Drew",
+    "Clyde",
+    "Paul",
+    "Domi",
+    "Dave",
+    "Fin",
+    "Sarah",
+    "Antoni",
+    "Thomas",
+    "Charlie",
+    "George",
+    "Emily",
+    "Elli",
+    "Callum",
+    "Patrick",
+    "Harry",
+    "Liam",
+    "Dorothy",
+    "Josh",
+    "Arnold",
+    "Charlotte",
+    "Alice",
+    "Matilda",
+    "James",
+    "Joseph",
+    "Jeremy",
+    "Michael",
+    "Ethan",
+    "Chris",
+    "Gigi",
+    "Freya",
+    "Brian",
+    "Grace",
+    "Daniel",
+    "Lily",
+    "Serena",
+    "Adam",
+    "Nicole",
+    "Bill",
+    "Jessie",
+    "Sam",
+    "Glinda",
+    "Giovanni",
+    "Mimi",
+]
+eleven_id_model_name_dict = dict(zip(eleven_name, eleven_voice_id))
+
+def openai(text, name):
+
+    headers = {
+        'Authorization': 'Bearer ' + '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',
+        'Content-Type': 'application/json',
+    }
+
+    json_data = {
+        'model': 'tts-1-hd',
+        'input': f'{text}',
+        'voice': f'{name}',
+    }
+
+    response = requests.post('https://api.openai.com/v1/audio/speech', headers=headers, json=json_data)
+
+    # Note: json_data will not be serialized by requests
+    # exactly as it was in the original request.
+    #data = '{\n    "model": "tts-1",\n    "input": "The quick brown fox jumped over the lazy dog.",\n    "voice": "alloy"\n  }'
+    #response = requests.post('https://api.openai.com/v1/audio/speech', headers=headers, data=data)
+
+    return "Success", response
+
+def elevenlabs(text,name):
+    url = f"https://api.elevenlabs.io/v1/text-to-speech/{eleven_id_model_name_dict[name]}"
+    CHUNK_SIZE = 1024
+    #url = "https://api.elevenlabs.io/v1/text-to-speech/<voice-id>"
+
+    headers = {
+    "Accept": "audio/mpeg",
+    "Content-Type": "application/json",
+    "xi-api-key": "a3391f0e3ff8472b61978dbb70ccc6fe"
+    }
+
+    data = {
+    "text": f"{text}",
+    "model_id": "eleven_monolingual_v1",
+    "voice_settings": {
+        "stability": 0.5,
+        "similarity_boost": 0.5
+    }
+    }
+
+    response = requests.post(url, json=data, headers=headers)
+    # with open('output.mp3', 'wb') as f:
+    #     for chunk in response.iter_content(chunk_size=CHUNK_SIZE):
+    #         if chunk:
+    #             f.write(chunk)
+    return "Success", response
+
+def microsoft(text, name, style="Neural"):
+    """
+    :param text:
+    :param name:
+    :param style:
+    :return:
+    """
+    headers = {
+        'Ocp-Apim-Subscription-Key': '1f1ef0ce53b84261be94fab81df7e628',
+        'Content-Type': 'application/ssml+xml',
+        'X-Microsoft-OutputFormat': 'audio-16khz-128kbitrate-mono-mp3',
+        'User-Agent': 'curl',
+    }
+
+    data = ("<speak version='1.0' xml:lang='en-US'>"
+        f"<voice xml:lang='en-US' name='{name}'>" # xml:gender='Female' 
+        f"{text}"
+        "</voice>"
+        "</speak>")
+
+    response = requests.post(
+        'https://japaneast.tts.speech.microsoft.com/cognitiveservices/v1',
+        headers=headers,
+        data=data,
+    )
+    return "Success", "sss"
+    
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--device', type=str, default='cuda')
+    parser.add_argument("--share", action="store_true", default=True, help="share gradio app")
+    parser.add_argument("--port", type=int, default=8081, help="port")
+    parser.add_argument('--model_info_path', type=str, default='/gluster/speech_data/info.json')
+    args = parser.parse_args()
+
+    app = gr.Blocks()
+    with app:
+        gr.Markdown("## Japanese TTS Demo")
+        with gr.Tabs():
+         
+            with gr.TabItem("11Labs"):
+                tts_input1 = gr.TextArea(label="Text", value=all_example)
+                tts_input2 = gr.Dropdown(eleven_name, label="name")                             
+                tts_submit = gr.Button("Generate", variant="primary")
+                tts_output1 = gr.Textbox(label="Output Message")
+                tts_output2 = gr.Audio(label="Output Audio")
+                tts_submit.click(elevenlabs, [tts_input1, tts_input2],
+                                    [tts_output1, tts_output2])
+
+            with gr.TabItem("微软"):
+                tts_input1 = gr.TextArea(label="Text", value=all_example)
+                tts_input2 = gr.Dropdown(microsoft_model_list, label="name")                             
+                tts_submit = gr.Button("Generate", variant="primary")
+                tts_output1 = gr.Textbox(label="Output Message")
+                tts_output2 = gr.Audio(label="Output Audio")
+                tts_submit.click(microsoft, [tts_input1, tts_input2],
+                                    [tts_output1, tts_output2])
+                
+            with gr.TabItem("openai"):
+                tts_input1 = gr.TextArea(label="Text", value=all_example)
+                tts_input2 = gr.Dropdown(openai_model_list, label="name")
+                tts_submit = gr.Button("Generate", variant="primary")
+                tts_output1 = gr.Textbox(label="Output Message")
+                tts_output2 = gr.Audio(label="Output Audio")
+                tts_submit.click(openai, [tts_input1, tts_input2],
+                                    [tts_output1, tts_output2])
+
+    app.queue(max_size=10)
+    app.launch(share=True)
+    # _, audio = openai(all_example,'alloy')
+    # print(audio)
+    # with open("test99.mp3", "wb") as f:
+    #     f.write(audio.content)
+