Update app.py

app.py

@@ -1,32 +1,28 @@
 import gradio as gr
-from edge_tts import Communicate
+import edge_tts
+import asyncio
 
-# Define a function to convert text to speech
-async def text_to_speech(text):
-    communicate = Communicate()
-    await communicate.run(text, "output_audio.wav")
-    return "output_audio.wav"
+async def tts(text):
+    communicate = edge_tts.Communicate(text, 'en-US-JennyNeural')
+    result = await communicate.save("output.mp3")
+    return "output.mp3"
 
-# Create the Gradio interface
-def create_interface():
-    # Define the Gradio interface components
-    with gr.Blocks() as demo:
-        gr.Markdown("# Text to Speech with Edge TTS")
-        
-        text_input = gr.Textbox(label="Enter text here:")
-        output_audio = gr.Audio(label="Generated Speech")
-        
-        def generate_speech(text):
-            # Run the text_to_speech function and get the output file path
-            import asyncio
-            output_path = asyncio.run(text_to_speech(text))
-            return output_path
-        
-        generate_button = gr.Button("Generate Speech")
-        generate_button.click(generate_speech, inputs=text_input, outputs=output_audio)
+def tts_sync(text):
+    loop = asyncio.new_event_loop()
+    asyncio.set_event_loop(loop)
+    return loop.run_until_complete(tts(text))
+
+with gr.Blocks() as demo:
+    gr.Markdown("## Text-to-Speech with Edge TTS")
+    
+    with gr.Row():
+        with gr.Column():
+            text_input = gr.Textbox(label="Enter Text", placeholder="Type something here...")
+            submit_button = gr.Button("Convert to Speech")
+            
+        with gr.Column():
+            audio_output = gr.Audio(label="Output Audio")
     
-    return demo
+    submit_button.click(fn=tts_sync, inputs=text_input, outputs=audio_output)
 
-# Create and launch the interface
-demo = create_interface()
 demo.launch()