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tts_gradio.py

@@ -18,10 +18,27 @@ 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."
+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 = [
@@ -204,7 +221,7 @@ def microsoft(text, name, style="Neural"):
         headers=headers,
         data=data,
     )
-    return "Success", response.content
+    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)