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import os
import tempfile
import subprocess
import streamlit as st
import logging
import numpy as np
import sys
# Clear the cache programmatically
st.cache_data.clear()
st.cache_resource.clear()
st.write("Streamlit cache has been cleared.")
numpy_path = np.__file__
st.write("Numpy is installed at: ")
st.code(numpy_path)
# Set up logging
logging.basicConfig(level=logging.INFO)
processed_file_path = None
# Allowed file extensions
ALLOWED_AUDIO_VIDEO_EXTENSIONS = {'mp3', 'mp4', 'wav'}
# Streamlit App
st.title("Audio-Video Inference App")
st.write("Upload a video file and an audio file for processing.")
# File Upload
video_file = st.file_uploader("Upload Video File (mp4):", type=['mp3', 'mp4', 'wav'])
audio_file = st.file_uploader("Upload Audio File (mp3, wav):", type=['mp3', 'mp4', 'wav'])
# Path to checkpoint
checkpoint_path = "checkpoints/wav2lip_gan.pth"
# Process files on button click
if st.button("Process Files"):
if video_file is None or audio_file is None:
st.error("Please upload both video and audio files!")
else:
# Save uploaded files temporarily
with tempfile.TemporaryDirectory() as tempdir:
video_path = os.path.join(tempdir, video_file.name)
audio_path = os.path.join(tempdir, audio_file.name)
output_path = "./results/result_voice.mp4"
with open(video_path, "wb") as f:
f.write(video_file.read())
with open(audio_path, "wb") as f:
f.write(audio_file.read())
# Run the inference script
try:
st.info("Processing files... This may take a moment.")
result = subprocess.run(
['python', 'inference.py', '--checkpoint_path', checkpoint_path, '--face', video_path, '--audio', audio_path],
capture_output=True, text=True
)
# Show output
if result.returncode == 0:
st.success("Processing complete!")
processed_file_path = output_path # Save processed file path for download
st.success("Processed file saved at: " + processed_file_path)
else:
st.error(f"Error during processing:\n{result.stderr}")
except Exception as e:
st.error(f"An error occurred: {e}")
# Provide the download button if the file was successfully processed
if processed_file_path:
#and os.path.exists(processed_file_path):
st.success("Download your processed file below:")
with open(processed_file_path, "rb") as f:
st.download_button(
label="Download Processed Video",
data=f,
file_name="result_voice.mp4",
mime="video/mp4"
)
st.write("Numpy is installed at: ")
st.code(numpy_path)
st.write("python version: ",sys.version)
import os
st.write("Python Executable:", sys.executable)
st.write("Python Version:", sys.version)
st.write("Environment Variables:", os.environ)
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