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import os
import subprocess
import gradio as gr
from pathlib import Path
language_codes = {
"English": "eng",
"Spanish": "spa",
"French": "fra",
"German": "deu",
"Italian": "ita",
"Chinese": "cmn"
}
def translate_audio(audio_file, target_language="German"):
language_code = language_codes[target_language]
output_file = "translated_audio.wav"
command = (
f"expressivity_predict {audio_file} --tgt_lang {language_code} "
f"--model_name seamless_expressivity --vocoder_name vocoder_pretssel "
f"--gated-model-dir seamlessmodel --output_path {output_file}"
)
subprocess.run(command, shell=True)
if os.path.exists(output_file):
print(f"File created successfully: {output_file}")
else:
print(f"File not found: {output_file}")
return output_file
inputs = [
gr.Audio(sources=["microphone"], type="filepath", label="User"),
gr.Dropdown(["English", "Spanish", "French", "German", "Italian", "Chinese"],
label="Target Language",
value="German")
]
iface = gr.Interface(
fn=translate_audio,
inputs=inputs,
outputs=gr.Audio(label="Translated Speech", autoplay=True,),
title="Seamless Speech Translator",
description="Hear how you sound in another language"
)
# Run the application
if __name__ == "__main__":
iface.launch()
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