First upload

app.py

@@ -1,7 +1,50 @@
 import gradio as gr
+from kokoro import KPipeline
+import soundfile as sf
+import tempfile
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Set up the Kokoro pipeline (choose your language code)
+pipeline = KPipeline(lang_code='a')  # 'a' = American English, see docs for more
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+def kokoro_tts(text: str, voice: str = "af_heart", speed: float = 1.0) -> str:
+    """
+    Generate speech audio from text using Kokoro TTS.
+    Args:
+        text: The input text to synthesize.
+        voice: The Kokoro voice name (e.g., 'af_heart').
+        speed: Speech speed (default 1.0).
+    Returns:
+        Path to the generated WAV audio file.
+    """
+    # Generate audio using Kokoro
+    generator = pipeline(text, voice=voice, speed=speed)
+    for i, (_, _, audio) in enumerate(generator):
+        # Save the first audio chunk as a WAV file
+        with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as f:
+            sf.write(f.name, audio, 24000)
+            return f.name  # Return file path for Gradio to serve
+
+# List some example voices
+voice_options = ["af_heart", "af_bella", "af_aria", "af_riley", "af_ryan"]
+
+description = """
+Enter text to synthesize speech using Kokoro TTS.<br>
+**Voices:** af_heart, af_bella, af_aria, af_riley, af_ryan<br>
+**Languages:** American English (default), see Kokoro docs for more.<br>
+**Speed:** 1.0 = normal, lower = slower, higher = faster.<br>
+"""
+
+demo = gr.Interface(
+    fn=kokoro_tts,
+    inputs=[
+        gr.Textbox(label="Text"),
+        gr.Dropdown(voice_options, label="Voice", value="af_heart"),
+        gr.Slider(0.5, 2.0, value=1.0, label="Speed")
+    ],
+    outputs=gr.Audio(type="filepath", label="Generated Speech"),
+    title="Kokoro TTS MCP Server",
+    description=description
+)
+
+if __name__ == "__main__":
+    demo.launch(mcp_server=True)

requirements.txt

@@ -0,0 +1,2 @@
+kokoro
+soundfile