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import os
import soundfile as sf
from core.cloner import KokoClone
# 1. Initialize the cloner globally so models load only once when the server starts
print("Loading KokoClone models for the Web UI...")
cloner = KokoClone()
def clone_voice(text, lang, ref_audio_path):
"""Gradio handler: text + reference audio β cloned speech."""
if not text or not text.strip():
raise gr.Error("Please enter some text.")
if not ref_audio_path:
raise gr.Error("Please upload or record a reference audio file.")
output_file = "gradio_output.wav"
try:
cloner.generate(
text=text,
lang=lang,
reference_audio=ref_audio_path,
output_path=output_file
)
return output_file
except Exception as e:
raise gr.Error(f"An error occurred during generation: {str(e)}")
def convert_voice(source_audio_path, ref_audio_path):
"""Gradio handler: source audio + reference audio β re-voiced speech."""
if not source_audio_path:
raise gr.Error("Please upload or record a source audio file.")
if not ref_audio_path:
raise gr.Error("Please upload or record a reference audio file.")
output_file = "gradio_convert_output.wav"
try:
cloner.convert(
source_audio=source_audio_path,
reference_audio=ref_audio_path,
output_path=output_file
)
return output_file
except Exception as e:
raise gr.Error(f"An error occurred during conversion: {str(e)}")
# 2. Build the Gradio UI using Blocks
with gr.Blocks() as demo:
gr.Markdown(
"""
<div style="text-align: center;">
<h1>π§ KokoClone</h1>
<p>Voice Cloning, Now Inside Kokoro.<br>
Generate natural multilingual speech and clone any target voice with ease.<br>
<i>Built on Kokoro TTS.</i></p>
</div>
"""
)
with gr.Tabs():
# ββ Tab 1: Text β Cloned Speech βββββββββββββββββββββββββββββββββββββ
with gr.Tab("π€ Text β Clone"):
with gr.Row():
with gr.Column(scale=1):
text_input = gr.Textbox(
label="1. Text to Synthesize",
lines=4,
placeholder="Enter the text you want spoken..."
)
lang_input = gr.Dropdown(
label="2. Language",
choices=[
("English", "en"),
("Hindi", "hi"),
("French", "fr"),
("Japanese", "ja"),
("Chinese", "zh"),
("Italian", "it"),
("Spanish", "es"),
("Portuguese", "pt")
],
value="en"
)
ref_audio_input = gr.Audio(
label="3. Reference Voice (Upload or Record)",
type="filepath"
)
submit_btn = gr.Button("π Generate Clone", variant="primary")
with gr.Column(scale=1):
output_audio = gr.Audio(
label="Generated Cloned Audio",
interactive=False,
autoplay=False
)
gr.Markdown(
"""
<br>
### π‘ Tips for Best Results:
* **Clean Audio:** Use a reference audio clip without background noise or music.
* **Length:** A reference clip of 3 to 10 seconds is usually the sweet spot.
* **Language Match:** Make sure the selected language matches the text you typed!
* **First Run:** The very first generation might take a few extra seconds while the models allocate memory.
"""
)
submit_btn.click(
fn=lambda: gr.update(value="β Generating...", interactive=False),
outputs=submit_btn
).then(
fn=clone_voice,
inputs=[text_input, lang_input, ref_audio_input],
outputs=output_audio
).then(
fn=lambda: gr.update(value="π Generate Clone", interactive=True),
outputs=submit_btn
)
# ββ Tab 2: Audio β Re-voiced Speech βββββββββββββββββββββββββββββββββ
with gr.Tab("π Audio β Clone"):
with gr.Row():
with gr.Column(scale=1):
source_audio_input = gr.Audio(
label="1. Source Audio (speech to re-voice)",
type="filepath"
)
ref_audio_convert_input = gr.Audio(
label="2. Reference Voice (target speaker)",
type="filepath"
)
convert_btn = gr.Button("π Convert Voice", variant="primary")
with gr.Column(scale=1):
convert_output_audio = gr.Audio(
label="Converted Audio",
interactive=False,
autoplay=False
)
gr.Markdown(
"""
<br>
### π‘ How it works:
* Upload any speech recording as the **source**.
* Upload a short clip of the **target speaker** as the reference.
* KokoClone re-voices the source speech to sound like the reference β no transcription needed.
### Tips:
* Clean, noise-free audio works best for both inputs.
* Reference clips of 3β10 seconds give the best voice transfer.
"""
)
convert_btn.click(
fn=lambda: gr.update(value="β Converting...", interactive=False),
outputs=convert_btn
).then(
fn=convert_voice,
inputs=[source_audio_input, ref_audio_convert_input],
outputs=convert_output_audio
).then(
fn=lambda: gr.update(value="π Convert Voice", interactive=True),
outputs=convert_btn
)
# 4. Launch the app
if __name__ == "__main__":
# Gradio 6.0 fix: Moved theme here and removed show_api
demo.launch(server_name="0.0.0.0") |