Create app.py

app.py

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+import gradio as gr
+import torch
+from kokoro import KModel, KPipeline
+import numpy as np
+
+# Load the lightweight 82M model
+pipeline = KPipeline(lang_code='a') # 'a' for American English
+
+def clone_voice(text, speed):
+    # This generates audio using the default voice
+    # To 'clone', you can later upload a voice traits file (.pt)
+    generator = pipeline(text, voice='af_bella', speed=speed, split_pattern=r'\n+')
+    
+    for gs, ps, audio in generator:
+        return (24000, audio.numpy())
+
+# Build the UI
+demo = gr.Interface(
+    fn=clone_voice,
+    inputs=[
+        gr.Textbox(label="Enter Text", placeholder="Hello, I am your AI assistant..."),
+        gr.Slider(minimum=0.5, maximum=2.0, value=1.0, label="Speed")
+    ],
+    outputs=gr.Audio(label="Cloned Voice"),
+    title="VJTI Voice Cloner",
+    description="Fast, free voice cloning running on Hugging Face CPU."
+)
+
+demo.launch()