Spaces:
Build error
Build error
import gradio as gr | |
import subprocess | |
import os | |
from googletrans import Translator | |
from TTS.api import TTS | |
from IPython.display import Audio, display | |
import ffmpeg | |
import whisper | |
def process_video(video, high_quality, target_language): | |
try: | |
output_filename = "resized_video.mp4" | |
if high_quality: | |
ffmpeg.input(video).output(output_filename, vf='scale=-1:720').run() | |
video_path = output_filename | |
else: | |
video_path = video | |
ffmpeg.input(video_path).output('output_audio.wav', acodec='pcm_s24le', ar=48000, map='a').run() | |
model = whisper.load_model("base") | |
result = model.transcribe("output_audio.wav") | |
whisper_text = result["text"] | |
whisper_language = result['language'] | |
language_mapping = { | |
'English': 'en', | |
'Spanish': 'es', | |
'French': 'fr', | |
'German': 'de', | |
'Italian': 'it', | |
'Portuguese': 'pt', | |
'Polish': 'pl', | |
'Turkish': 'tr', | |
'Russian': 'ru', | |
'Dutch': 'nl', | |
'Czech': 'cs', | |
'Arabic': 'ar', | |
'Chinese (Simplified)': 'zh-cn' | |
} | |
target_language_code = language_mapping[target_language] | |
translator = Translator() | |
translated_text = translator.translate(whisper_text, src=whisper_language, dest=target_language_code).text | |
tts = TTS("tts_models/multilingual/multi-dataset/xtts_v1", gpu=True) | |
tts.tts_to_file(translated_text, speaker_wav='output_audio.wav', file_path="output_synth.wav", language=target_language_code) | |
subprocess.run(f"python inference.py --face {video_path} --audio 'output_synth.wav' --outfile 'output_high_qual.mp4'", shell=True) | |
return "output_high_qual.mp4" | |
except Exception as e: | |
return str(e) | |
iface = gr.Interface( | |
fn=process_video, | |
inputs=[ | |
gr.Video(), | |
gr.inputs.Checkbox(label="High Quality"), | |
gr.inputs.Dropdown(choices=["English", "Spanish", "French", "German", "Italian", "Portuguese", "Polish", "Turkish", "Russian", "Dutch", "Czech", "Arabic", "Chinese (Simplified)"], label="Target Language for Dubbing") | |
], | |
outputs=gr.outputs.File(), | |
live=False | |
) | |
iface.launch(share=True) | |