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Update app.py
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app.py
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import gradio as gr
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from moviepy import VideoFileClip, AudioFileClip
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import librosa
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import noisereduce as nr
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import soundfile as sf
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import numpy as np
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from scipy.signal import butter, filtfilt
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import os
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def remove_wind_noise(video_file):
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# === Temporary filenames ===
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temp_audio = "original_audio.wav"
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clean_audio = "clean_audio.wav"
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output_video = "cleaned_video.mp4"
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# === Extract audio ===
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video = VideoFileClip(video_file)
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video.audio.write_audiofile(temp_audio, logger=None)
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# === Load audio ===
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audio_data, sr = librosa.load(temp_audio, sr=None)
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# === High-pass filter to remove rumble ===
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def highpass_filter(data, sr, cutoff=100, order=3):
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nyquist = 0.5 * sr
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normal_cutoff = cutoff / nyquist
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b, a = butter(order, normal_cutoff, btype='high', analog=False)
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return filtfilt(b, a, data)
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filtered_audio = highpass_filter(audio_data, sr)
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# === Noise reduction ===
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noise_clip = filtered_audio[:int(sr * 0.5)]
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reduced_noise = nr.reduce_noise(
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y=filtered_audio,
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y_noise=noise_clip,
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sr=sr,
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prop_decrease=0.5,
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stationary=False
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)
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# === Save cleaned audio ===
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sf.write(clean_audio, reduced_noise, sr)
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# === Merge audio back into video ===
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clean_audio_clip = AudioFileClip(clean_audio)
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final_video = video.with_audio(clean_audio_clip)
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final_video.write_videofile(output_video, codec="libx264", audio_codec="aac", logger=None)
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# === Cleanup ===
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video.close()
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clean_audio_clip.close()
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os.remove(temp_audio)
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os.remove(clean_audio)
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return output_video
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# === Gradio Interface ===
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interface = gr.Interface(
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fn=remove_wind_noise,
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inputs=gr.Video(label="Upload your .MOV video"),
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outputs=gr.Video(label="Cleaned Video"),
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title="🎧 Wind Noise Remover",
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description="Upload a .MOV video and automatically remove wind noise using a high-pass filter + noise reduction.",
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allow_flagging="never",
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)
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if __name__ == "__main__":
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interface.launch()
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import gradio as gr
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from moviepy.editor import VideoFileClip, AudioFileClip
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import librosa
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import noisereduce as nr
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import soundfile as sf
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import numpy as np
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from scipy.signal import butter, filtfilt
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import os
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def remove_wind_noise(video_file):
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# === Temporary filenames ===
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temp_audio = "original_audio.wav"
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clean_audio = "clean_audio.wav"
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output_video = "cleaned_video.mp4"
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# === Extract audio ===
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video = VideoFileClip(video_file)
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video.audio.write_audiofile(temp_audio, logger=None)
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# === Load audio ===
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audio_data, sr = librosa.load(temp_audio, sr=None)
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# === High-pass filter to remove rumble ===
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def highpass_filter(data, sr, cutoff=100, order=3):
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nyquist = 0.5 * sr
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normal_cutoff = cutoff / nyquist
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b, a = butter(order, normal_cutoff, btype='high', analog=False)
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return filtfilt(b, a, data)
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filtered_audio = highpass_filter(audio_data, sr)
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# === Noise reduction ===
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noise_clip = filtered_audio[:int(sr * 0.5)]
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reduced_noise = nr.reduce_noise(
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y=filtered_audio,
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y_noise=noise_clip,
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sr=sr,
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prop_decrease=0.5,
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stationary=False
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)
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# === Save cleaned audio ===
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sf.write(clean_audio, reduced_noise, sr)
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# === Merge audio back into video ===
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clean_audio_clip = AudioFileClip(clean_audio)
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final_video = video.with_audio(clean_audio_clip)
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final_video.write_videofile(output_video, codec="libx264", audio_codec="aac", logger=None)
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# === Cleanup ===
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video.close()
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clean_audio_clip.close()
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os.remove(temp_audio)
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os.remove(clean_audio)
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return output_video
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# === Gradio Interface ===
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interface = gr.Interface(
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fn=remove_wind_noise,
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inputs=gr.Video(label="Upload your .MOV video"),
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outputs=gr.Video(label="Cleaned Video"),
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title="🎧 Wind Noise Remover",
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description="Upload a .MOV video and automatically remove wind noise using a high-pass filter + noise reduction.",
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allow_flagging="never",
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)
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if __name__ == "__main__":
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interface.launch()
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