import gradio as gr, glob, os, auditok, zipfile, wave, pytube.exceptions, librosa, time, librosa, librosa.display, matplotlib.pyplot as plt, numpy as np, urllib.error from pytube import YouTube from moviepy.editor import VideoFileClip def download_video(url, download_as): try: yt = YouTube(url) except pytube.exceptions.RegexMatchError: raise gr.Error("URL not valid or is empty! Please fix the link or enter one!") except urllib.error.HTTPError as not_ok: raise gr.Error(f"{not_ok}") except pytube.exceptions.AgeRestrictedError: raise gr.Error("The video you are trying to convert is age-restricted and cannot be downloaded! A proper login system may be implemented in the future.") video = yt.streams.get_highest_resolution() video.download() video_path = f"{video.default_filename}" video_clip = VideoFileClip(video_path) audio_clip = video_clip.audio if download_as == "wav": audio_clip.write_audiofile("output.wav") elif download_as == "mp3": audio_clip.write_audiofile("output.mp3") audio_clip.close() video_clip.close() for removalmp4 in glob.glob("*.mp4"): os.remove(removalmp4) return "Finished downloading! Please proceed to next tab." def split_audio_from_yt_video(mindur, maxdur, name_for_split_files, show_amount_of_files_and_file_dur): if show_amount_of_files_and_file_dur == True: gr.Warning(f"show_amount_of_files_and_file_dur set to True. This will take longer if your audio file is long.") if not os.path.exists("output.mp3") and not os.path.exists("output.wav"): raise gr.Error("Neither output.mp3 or output.wav exist! Did the video download correctly?") if mindur == maxdur: raise gr.Error(f"Cannot split mindur={mindur} and maxdur={maxdur}, min and max are the same number.") elif mindur > maxdur: raise gr.Error(f"Cannot split mindur={mindur} and maxdur={maxdur}, mindur is higher than maxdur.") elif name_for_split_files == None: raise gr.Error("Split files name cannot be empty!") else: audio_path = "output.wav" if not os.path.exists("output.mp3") else "output.mp3" audio_regions = auditok.split( audio_path, min_dur=mindur, max_dur=maxdur, max_silence=0.3, energy_threshold=45 ) os.remove(audio_path) for i, r in enumerate(audio_regions): filename = r.save(f"{name_for_split_files}-{i+1}.wav") for f in sorted(glob.glob("*.wav")): audio_files = glob.glob("*.wav") zip_file_name = "audio_files.zip" with zipfile.ZipFile(zip_file_name, "w") as zip_file: for audio_file in audio_files: zip_file.write(audio_file, os.path.basename(audio_file)) if show_amount_of_files_and_file_dur == False: for file2 in glob.glob("*.wav"): os.remove(file2) return "Files split successfully!\nCheck below for zipped files.", zip_file_name elif show_amount_of_files_and_file_dur == True: largest_file = ("", 0) total_files = 0 total_length = 0.0 for file_name in glob.glob("*.wav"): file_path = os.path.join(os.getcwd(), file_name) if file_path.lower().endswith(".wav"): try: with wave.open(file_path, 'r') as audio_file: frames = audio_file.getnframes() rate = audio_file.getframerate() duration = frames / float(rate) file_size = os.path.getsize(file_path) if file_size > largest_file[1]: largest_file = (file_name, file_size) total_length += duration total_files += 1 except wave.Error as e: raise gr.Error(f"Error reading file: {e}") length_mins = total_length / 60 for file2 in glob.glob("*.wav"): os.remove(file2) return f"Files split successfully!\nCheck below for zipped files.\n\n{total_files} files created, {length_mins:.2f} minutes total.", zip_file_name def analyze_audio(zip_file_path): with zipfile.ZipFile(zip_file_path, 'r') as zip_ref: zip_ref.extractall('unzipped_files') total_sample_rate = 0 total_files = 0 for file_name in os.listdir('unzipped_files'): if file_name.lower().endswith('.wav'): file_path = os.path.join('unzipped_files', file_name) try: with wave.open(file_path, 'r') as audio_file: sample_rate = audio_file.getframerate() total_sample_rate += sample_rate total_files += 1 except wave.Error as e: print(f"Error reading file: {e}") if total_files > 0: average_sample_rate = total_sample_rate / total_files return f"Average sample rate: {average_sample_rate}" else: return "No average sample rate could be found." def split_wav_or_mp3_file(audiofileuploader, mindur2, maxdur2, name_for_split_files2): if audiofileuploader == None: raise gr.Error("Audio file cannot be empty!") if mindur2 == maxdur2: raise gr.Error(f"Cannot split mindur={mindur} and maxdur={maxdur}, min and max are the same number.") elif mindur2 > maxdur2: raise gr.Error(f"Cannot split mindur={mindur} and maxdur={maxdur}, mindur is higher than maxdur.") elif name_for_split_files2 == None: raise gr.Error("Split files name cannot be empty!") else: audio_path = audiofileuploader audio_regions = auditok.split( audio_path, min_dur=mindur2, max_dur=maxdur2, max_silence=0.3, energy_threshold=45 ) os.remove(audio_path) for i, r in enumerate(audio_regions): filename = r.save(f"{name_for_split_files2}-{i+1}.wav") for f in sorted(glob.glob("*.wav")): audio_files = glob.glob("*.wav") zip_file_name2 = "audio_files.zip" with zipfile.ZipFile(zip_file_name2, "w") as zip_file: for audio_file in audio_files: zip_file.write(audio_file, os.path.basename(audio_file)) for file2 in glob.glob("*.wav"): os.remove(file2) return f"File split successfully!\nCheck below for zipped files.\nAmount created: {len(audio_files)}", zip_file_name2 def all_in_one_inator(ytvideo, download_yt_video_as, min_duration, max_duration, name_for_outputted_split_files, progress=gr.Progress()): if download_as == "mp3": gr.Warning("MP3 is experimental, especially with this, so caution is advised.") if min_duration == max_duration: raise gr.Error(f"Cannot split mindur={min_duration} and maxdur={max_duration}, min and max are the same number.") elif min_duration > max_duration: raise gr.Error(f"Cannot split mindur={min_duration} and maxdur={max_duration}, mindur is higher than maxdur.") elif name_for_outputted_split_files == None: raise gr.Error("Split files name cannot be empty!") else: try: progress(0, "Downloading video...") yt = YouTube(ytvideo) except pytube.exceptions.RegexMatchError: raise gr.Error("URL not valid or was left empty! Please fix the link or enter one.") except urllib.error.HTTPError as not_ok: raise gr.Error(f"{not_ok}") except pytube.exceptions.AgeRestrictedError: raise gr.Error("The video you are trying to convert is age-restricted and cannot be downloaded! A proper login system may be implemented in the future.") video = yt.streams.get_highest_resolution() video.download() video_path = f"{video.default_filename}" video_clip = VideoFileClip(video_path) audio_clip = video_clip.audio if download_yt_video_as == "wav": audio_clip.write_audiofile("output.wav") elif download_yt_video_as == "mp3": audio_clip.write_audiofile("output.mp3") audio_clip.close() video_clip.close() for removemp4 in glob.glob("*.mp4"): os.remove(removemp4) progress(0.5, "Video downloaded! Starting split process...") audio_path = "output.wav" if not os.path.exists("output.mp3") else "output.mp3" audio_regions = auditok.split( audio_path, min_dur=min_duration, max_dur=max_duration, max_silence=0.3, energy_threshold=45 ) os.remove(audio_path) for i, r in enumerate(audio_regions): filename = r.save(f"{name_for_outputted_split_files}-{i+1}.wav") for f in sorted(glob.glob("*.wav")): audio_files = glob.glob("*.wav") zip_file_name = "audio_files.zip" with zipfile.ZipFile(zip_file_name, 'w') as zip_file: for audio_file in audio_files: zip_file.write(audio_file, os.path.basename(audio_file)) for file2 in glob.glob("*.wav"): os.remove(file2) progress(1, "Done! Cleaning up...") time.sleep(2) return "Process done successfully! Check below for zipped files!", zip_file_name def download_video_as_audio_only(yt_video, audio_output_format, download_as_zip_or_wav): try: yt = YouTube(yt_video) except pytube.exceptions.RegexMatchError: raise gr.Error("URL not valid or is empty! Please fix the link or enter one!") except urllib.error.HTTPError as not_ok: raise gr.Error(f"{not_ok}") except pytube.exceptions.AgeRestrictedError: raise gr.Error("The video you are trying to convert is age-restricted and cannot be downloaded! A proper login system may be implemented in the future.") video = yt.streams.get_highest_resolution() video.download() video_path = f"{video.default_filename}" video_clip = VideoFileClip(video_path) audio_clip = video_clip.audio if audio_output_format == "wav": audio_clip.write_audiofile("output.wav") elif audio_output_format == "mp3": audio_clip.write_audiofile("output.mp3") audio_clip.close() video_clip.close() for mp4remove in glob.glob("*.mp4"): os.remove(mp4remove) single_zip_name = "only_audio.zip" audio_files = glob.glob("*.wav") if audio_output_format == "wav" else glob.glob("*.mp3") if download_as_zip_or_wav == "zip": with zipfile.ZipFile(single_zip_name, 'w') as zip_file: for audio_file in audio_files: zip_file.write(audio_file, os.path.basename(audio_file)) return "Done! Download the zip file below! This only contains the audio file.", single_zip_name elif download_as_zip_or_wav == "wav": return "Done! Download the audio file below!", "output.wav" def check_for_remaining_wav_or_mp3_files(which_filetype): audio_files = glob.glob(f"*.{which_filetype}") return f"There are {len(audio_files)} leftover files." def display_audio_spectrogram(audio_file): if audio_file == None: raise gr.Error("Cannot leave WAV field empty! Please insert a WAV file.") else: y, sr = librosa.load(audio_file) d = librosa.amplitude_to_db(np.abs(librosa.stft(y)), ref=np.max) plt.figure(figsize=(12, 8)) librosa.display.specshow(d, sr=sr, x_axis="time", y_axis="log") plt.colorbar(format="%+2.0f db") plt.title("Spectrogram") output = "spectrogram.png" plt.savefig(output) plt.close() return output with gr.Blocks(theme='sudeepshouche/minimalist', title="Global Dataset Maker") as app: gr.HTML( "