| import os | |
| import sys | |
| import gradio as gr | |
| os.system('git clone https://github.com/Rudrabha/Wav2Lip.git') | |
| os.system('curl -o ./Wav2Lip/face_detection/detection/sfd/s3fd.pth https://www.adrianbulat.com/downloads/python-fan/s3fd-619a316812.pth') | |
| os.system('mv ./Wav2Lip/* .') | |
| title = "Automatic translation and dubbing for Indic Languages" | |
| description = "A demo application to dub and translate videos spoken in Tamil, Hindi, Bengali and Telugu" | |
| article = "Official Repo: https://github.com/Rudrabha/Wav2Lip" | |
| def inference(face, audio): | |
| os.system("python inference.py --checkpoint_path ./wav2lip_gan.pth --face {} --audio {}".format(face, audio)) | |
| return "./results/result_voice.mp4" | |
| iface = gr.Interface(inference, inputs=[gr.inputs.Radio(["Tamil", "Hindi", "Bengali", "Telugu"], label = "Enter language to translate to"), gr.inputs.Radio(["Slow", "Fast"], label = "Enter speaking speed"), gr.inputs.Radio(["Male", "Female"], label = "Enter preferred voice"), gr.inputs.Video(type="mp4", source="upload", label="Video to be Translated", optional=False)], outputs=["video"], title=title, description=description, article=article, enable_queue=True) | |
| iface.launch() |