lip_sync / app.py
Praveenna's picture
Create app.py
88c69aa verified
raw
history blame
No virus
1.97 kB
import streamlit as st
import os
from IPython.display import clear_output
# Your Lipsync code here
def main():
st.title("Lipsync App")
st.markdown("Upload your video and audio files to create a lipsynced video.")
# Audio upload
st.sidebar.markdown("### Upload Audio")
audio_file = st.sidebar.file_uploader("Upload Audio File", type=["wav"])
# Video upload
st.sidebar.markdown("### Upload Video")
video_file = st.sidebar.file_uploader("Upload Video File", type=["mp4"])
if st.sidebar.button("Sync Lips"):
if audio_file and video_file:
# Save audio file
with open("/content/sample_data/input_audio.wav", "wb") as audio_writer:
audio_writer.write(audio_file.read())
# Save video file
with open("/content/sample_data/input_vid.mp4", "wb") as video_writer:
video_writer.write(video_file.read())
# Run Lipsync code
pad_top = 0
pad_bottom = 10
pad_left = 0
pad_right = 0
rescaleFactor = 1
nosmooth = True
use_hd_model = False
checkpoint_path = 'checkpoints/wav2lip.pth' if not use_hd_model else 'checkpoints/wav2lip_gan.pth'
cmd = f"!python inference.py --checkpoint_path {checkpoint_path} --face '/content/sample_data/input_vid.mp4' --audio '/content/sample_data/input_audio.wav' --pads {pad_top} {pad_bottom} {pad_left} {pad_right} --resize_factor {rescaleFactor}"
if nosmooth:
cmd += " --nosmooth"
os.system(cmd)
output_file_path = '/content/Wav2Lip/results/result_voice.mp4'
# Display output video
if os.path.exists(output_file_path):
clear_output()
st.video(output_file_path)
else:
st.error("Processing failed. Output video not found.")
if __name__ == "__main__":
main()