deep-filter / app.py
Ali Safaya
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import os
import ffmpeg
import uuid
import streamlit as st
import shutil
import logging
logging.basicConfig(level=logging.INFO) # Set the logging level
def log_info(message):
logging.info(message)
def log_error(error_message):
logging.error(error_message)
# Function to extract audio using ffmpeg
def convert_audio(input_file):
audio_file = f"{input_file}.wav"
ffmpeg.input(input_file).output(audio_file, ar=48000, ac=1).run()
return audio_file
# Function to split audio into segments
def split_audio(audio_file):
segment_pattern = os.path.splitext(audio_file)[0] + ".segmented_%03d.wav"
ffmpeg.input(audio_file).output(segment_pattern, f="segment", segment_time=300).run()
return segment_pattern
# Function to filter each audio segment
def filter_audio(segments):
filtered_dir = "temp-out"
os.makedirs(filtered_dir, exist_ok=True)
os.system(f"deepFilter -a 20 -o {filtered_dir} {segments.replace('%03d.wav', '')}*.wav")
os.system(f"rm {segments.replace('%03d.wav', '')}*.wav")
return filtered_dir
# Function to combine filtered segments using sox
def combine_segments(filtered_dir, output_file):
os.system(f"sox {filtered_dir}/*.wav {output_file}")
return output_file
# Function to check if input file is video
def is_video(input_file):
result = os.popen(f"ffprobe -v error -show_entries stream=codec_type -of default=noprint_wrappers=1:nokey=1 {input_file}").read()
return "video" in result.lower()
# Function to get format info for audio files
def get_format_info(input_file):
result = os.popen(f"ffprobe -v error -show_entries stream=codec_name -of default=noprint_wrappers=1:nokey=1 {input_file}").read()
return result
# Function to handle video or audio input
def process_input(input_file):
try:
audio_file = convert_audio(input_file)
segments = split_audio(audio_file)
filtered_dir = filter_audio(segments)
output_file = combine_segments(filtered_dir, f"{input_file}.filtered.wav")
shutil.rmtree(filtered_dir)
output_format = input_file.split(".")[-1]
if is_video(input_file):
audio_aac_file = f"filtered-{input_file}.aac"
ffmpeg.input(output_file).output(audio_aac_file, ar=44100, codec="aac").run()
video_stream = ffmpeg.input(input_file).video
audio_aac_stream = ffmpeg.input(audio_aac_file).audio
merged_file = f"filtered-{input_file}.{output_format}"
ffmpeg.output(video_stream, audio_aac_stream, merged_file, vcodec="copy", acodec="copy").run()
os.remove(audio_aac_file)
os.remove(output_file)
os.remove(audio_file)
os.rename(merged_file, input_file)
return input_file
else:
ffmpeg.input(output_file).output(f"filtered-{input_file}.{output_format}", ac=1, ar=16000).run()
os.rename(f"filtered-{input_file}.{output_format}", input_file)
os.remove(output_file)
os.remove(audio_file)
return input_file
except Exception as e:
log_error(f"Error occurred during processing: {str(e)}")
return None
# Streamlit UI
st.title("Audio Enhancement with Deep Filter")
uploaded_file = st.file_uploader("Upload a file", type=["mp4", "wav", "mp3", "aac", "m4a", "flac", "ogg", "opus", "wma", "webm", "mkv"])
if uploaded_file is not None:
try:
file_details = {"FileName": uploaded_file.name, "FileType": uploaded_file.type, "FileSize": uploaded_file.size}
st.write(file_details)
if st.button("Process File"):
# generate a random file name to save the uploaded file
file_path = f"temp-{str(uuid.uuid4())[:8]}.{uploaded_file.name.split('.')[-1]}"
with open(file_path, "wb") as f:
f.write(uploaded_file.getbuffer())
output_file_path = process_input(file_path)
if output_file_path and os.path.exists(output_file_path):
data = open(output_file_path, "rb").read()
os.remove(file_path)
st.success("File processed successfully!")
st.download_button(label="Download Processed File",
data=data,
file_name="filtered-" + uploaded_file.name)
else:
st.error("File processing failed.")
except Exception as e:
log_error(f"Error occurred during file processing: {str(e)}")