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app.py

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+import spaces
+import gradio as gr
+import edge_tts
+import asyncio
+import tempfile
+import os
+
+# Get all available voices
+async def get_voices():
+    voices = await edge_tts.list_voices()
+    return {f"{v['ShortName']} - {v['Locale']} ({v['Gender']})": v['ShortName'] for v in voices}
+
+# Text-to-speech function
+async def text_to_speech(text, voice, rate, pitch):
+    if not text.strip():
+        return None, gr.Warning("Please enter text to convert.")
+    if not voice:
+        return None, gr.Warning("Please select a voice.")
+    
+    voice_short_name = voice.split(" - ")[0]
+    rate_str = f"{rate:+d}%"
+    pitch_str = f"{pitch:+d}Hz"
+    communicate = edge_tts.Communicate(text, voice_short_name, rate=rate_str, pitch=pitch_str)
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file:
+        tmp_path = tmp_file.name
+        await communicate.save(tmp_path)
+    return tmp_path, None
+
+# Gradio interface function
+@spaces.GPU
+def tts_interface(text, voice, rate, pitch):
+    audio, warning = asyncio.run(text_to_speech(text, voice, rate, pitch))
+    return audio, warning
+
+# Create Gradio application
+import gradio as gr
+
+async def create_demo():
+    voices = await get_voices()
+    
+    description = """
+    Experience the power of Voicecloning.be for text-to-speech conversion.
+    """
+    
+    demo = gr.Interface(
+        fn=tts_interface,
+        inputs=[
+            gr.Textbox(label="Input Text", lines=5),
+            gr.Dropdown(choices=[""] + list(voices.keys()), label="Select Voice", value=""),
+            gr.Slider(minimum=-50, maximum=50, value=0, label="Speech Rate Adjustment (%)", step=1),
+            gr.Slider(minimum=-20, maximum=20, value=0, label="Pitch Adjustment (Hz)", step=1)
+        ],
+        outputs=[
+            gr.Audio(label="Generated Audio", type="filepath"),
+            gr.Markdown(label="Warning", visible=False)
+        ],
+        title="Voicecloning.be Text-to-Speech",
+        description=description,
+        article="Experience the power of Voicecloning.be for text-to-speech conversion.",
+        analytics_enabled=False,
+        allow_flagging=False
+    )
+    return demo
+
+# Run the application
+if __name__ == "__main__":
+    demo = asyncio.run(create_demo())
+    demo.launch()

requirements.txt

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+edge_tts==6.1.12
+gradio==4.36.1