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README.md

@@ -1,6 +1,6 @@
 ---
-title: Gradio
-app_file: tts_gradio.py
+title: gradio
+app_file: gradio_demo.py
 sdk: gradio
 sdk_version: 4.36.1
 ---

tts_gradio.py

@@ -9,19 +9,36 @@ import json
 import os
 import re
 import tempfile
-import librosa
-import numpy as np
+# 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
+# import gradio.utils as gr_utils
+# import gradio.processing_utils as gr_processing_utils
 
-all_example = "my voice is my passport verify me."
+all_example = "Today is a wonderful day to build something people love!"
 
 microsoft_model_list = [
-    "en-US-AvaMultilingualNeural"
+    "en-US-JennyMultilingualNeural",
+    "en-US-RyanMultilingualNeural",
+    "en-US-AndrewMultilingualNeural",
+    "en-US-AvaMultilingualNeural",
+    "en-US-BrianMultilingualNeural",
+    "en-US-EmmaMultilingualNeural",
+    "en-US-AlloyMultilingualNeural",
+    "en-US-EchoMultilingualNeural",
+    "en-US-FableMultilingualNeural",
+    "en-US-OnyxMultilingualNeural",
+    "en-US-NovaMultilingualNeural",
+    "en-US-ShimmerMultilingualNeural",
+    "en-US-AlloyMultilingualNeuralHD",
+    "en-US-EchoMultilingualNeuralHD",
+    "en-US-FableMultilingualNeuralHD",
+    "en-US-OnyxMultilingualNeuralHD",
+    "en-US-NovaMultilingualNeuralHD4",
+    "en-US-ShimmerMultilingualNeuralHD"
 ]
 
 openai_model_list = [
@@ -139,8 +156,8 @@ def openai(text, name):
 
     json_data = {
         'model': 'tts-1-hd',
-        'input': f'{text}',
-        'voice': f'{name}',
+        'input': text,
+        'voice': name,
     }
 
     response = requests.post('https://api.openai.com/v1/audio/speech', headers=headers, json=json_data)
@@ -164,7 +181,7 @@ def elevenlabs(text,name):
     }
 
     data = {
-    "text": f"{text}",
+    "text": text,
     "model_id": "eleven_monolingual_v1",
     "voice_settings": {
         "stability": 0.5,
@@ -204,7 +221,7 @@ def microsoft(text, name, style="Neural"):
         headers=headers,
         data=data,
     )
-    return "Success", "sss"
+    return "Success", response
     
 if __name__ == '__main__':
     parser = argparse.ArgumentParser()
@@ -216,7 +233,7 @@ if __name__ == '__main__':
 
     app = gr.Blocks()
     with app:
-        gr.Markdown("## Japanese TTS Demo")
+        gr.Markdown("## English TTS Demo")
         with gr.Tabs():
          
             with gr.TabItem("11Labs"):
@@ -246,7 +263,7 @@ if __name__ == '__main__':
                 tts_submit.click(openai, [tts_input1, tts_input2],
                                     [tts_output1, tts_output2])
 
-    app.queue(max_size=10)
+    # app.queue(max_size=10)
     app.launch(share=True)
     # _, audio = openai(all_example,'alloy')
     # print(audio)