Create app.py

app.py

@@ -0,0 +1,31 @@
+import gradio as gr
+from kittentts import KittenTTS
+import soundfile as sf
+import numpy as np
+import tempfile
+import os
+
+# Load model
+model = KittenTTS("KittenML/kitten-tts-nano-0.1")
+
+# Function to generate audio
+def tts_generate(text):
+    audio = model.generate(text)
+    
+    # Save audio to a temporary file
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_file:
+        sf.write(tmp_file.name, audio, 24000)
+        tmp_path = tmp_file.name
+
+    return tmp_path
+
+# Gradio interface
+iface = gr.Interface(
+    fn=tts_generate,
+    inputs=gr.Textbox(lines=2, placeholder="Enter text to synthesize..."),
+    outputs=gr.Audio(type="filepath"),
+    title="🐱 KittenTTS: Text-to-Speech",
+    description="Generate speech from text using KittenTTS Nano model (runs on CPU!)"
+)
+
+iface.launch()