File size: 18,196 Bytes
ca6924e
348b8de
e39b309
f088aee
348b8de
e8f356e
 
 
e39b309
e8f356e
e39b309
e8f356e
2820d37
e8f356e
 
 
 
 
 
 
348b8de
 
e8f356e
 
 
 
 
 
 
 
 
 
e83fe37
 
e8f356e
28c73d5
348b8de
 
 
c057334
348b8de
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
efa3e04
 
 
 
348b8de
 
1acf81a
 
 
 
 
 
 
4818fcf
 
 
 
 
 
1acf81a
4818fcf
 
 
 
82d61fb
4818fcf
 
2bc2108
 
 
 
 
 
 
 
 
011eb76
2bc2108
 
4818fcf
 
2bc2108
 
 
 
 
 
 
1acf81a
2bc2108
 
1acf81a
 
2bc2108
 
 
e39b309
 
 
 
 
 
 
 
 
 
 
 
 
4b4d834
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4818fcf
c82f1c2
f088aee
82d61fb
f088aee
ca6924e
 
 
e7da7b4
 
 
26df1db
e7da7b4
 
f088aee
82d61fb
f088aee
9b27834
82d61fb
9b27834
f088aee
28c73d5
e83fe37
0fcf079
e8f356e
 
 
0fcf079
e8f356e
 
 
12ce065
e8f356e
 
0fcf079
348b8de
e8f356e
 
348b8de
e39b309
 
 
 
 
 
 
 
 
 
 
 
 
348b8de
 
cf6afc4
 
 
348b8de
 
 
 
 
 
 
 
cf6afc4
348b8de
 
 
 
 
4818fcf
82d61fb
 
4818fcf
 
 
 
 
1acf81a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3f41391
46c5adf
3f41391
 
 
 
1acf81a
ca6924e
1acf81a
 
 
 
4818fcf
 
 
1acf81a
4818fcf
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4b4d834
 
 
 
 
 
 
 
 
 
 
 
348b8de
086b8c8
4b4d834
ca6924e
e39b309
348b8de
f088aee
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
import gradio as gr, glob, os, auditok, zipfile, requests, json, traceback, tempfile
from moviepy.editor import *
from pydub import AudioSegment

def split_wav_or_mp3_file(audiofileuploader, mindur2, maxdur2, name_for_split_files2, strict):
    if audiofileuploader == None:
        raise gr.Error("Audio file cannot be empty!")
    if mindur2 == maxdur2:
        raise gr.Error(f"Cannot split mindur={mindur2} and maxdur={maxdur2}, min and max are the same number.")
    elif mindur2 > maxdur2:
        raise gr.Error(f"Cannot split mindur={mindur2} and maxdur={maxdur2}, 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,
            strict_min_dur=True if strict == True else False
        )
        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 mp4_to_wav_or_mp3(mp4fileuploader, file_format):
    if mp4fileuploader == None:
        raise gr.Error("Input cannot be empty!")
    else:
        try:
            if file_format == "wav":
                videoinput = AudioFileClip(mp4fileuploader)
                videoinput.write_audiofile("convertedaudio.wav")
                videoinput.close()
            elif file_format == "mp3":
                videoinput = AudioFileClip(mp4fileuploader)
                videoinput.write_audiofile("convertedaudio.mp3")
                videoinput.close()
            what_to_return = "convertedaudio.wav" if file_format == "wav" else "convertedaudio.mp3"
            os.remove(mp4fileuploader)
            return "Converted mp4 file successfully!", what_to_return
        except:
            raise gr.Error(traceback.format_exc())
        
def remove_audio_file_from_directory():
    for r in glob.glob("*.wav"):
        os.remove(r)
    for w in glob.glob("*.mp3"):
        os.remove(w)
    for y in glob.glob("convertedaudio.mp3"):
        os.remove(y)
    for a in glob.glob("convertedaudio.wav"):
        os.remove(a)
    return gr.Info("File removed.")

def mvsep_api_request(mvsep_key, audio_file, sep_dropdown):
    if mvsep_key == "":
        return gr.Warning("You must have an MVSEP API key for this to work!")
    if audio_file == None:
        return gr.Warning("Please select an audio file!")
    if sep_dropdown == "-------------------------------------------------------------------------------------------------":
        return gr.Warning("This option is not a model!")
    url = "https://mvsep.com/api/separation/create"
    files = {
        "audiofile": open(audio_file, 'rb')
    }
    data = {
        "api_token": mvsep_key,
        "sep_type": sep_dropdown
    }
    r = requests.post(url, files=files, data=data)
    json_format = r.json()
    hash_val = json_format['data']['hash']
    return f"Request sent successfully! Your hash is: {hash_val}\n\nUse the 'Get Status' tab to check the status of your request."

def mvsep_check_request(hash_textbox):
    try:
        url = "https://mvsep.com/api/separation/get"
        params = {
            "hash": hash_textbox
        }
        r = requests.get(url, params=params)
        rjson = r.json()
        success = rjson['success']
        status = rjson['status']
        return f"Was successful? {str(success)}.\nStatus: {status}."
    except requests.exceptions.JSONDecodeError:
        return gr.Info("Status not available or request not sent.")

def mvsep_download_separated_audio(hash_textbox):
    try:
        url = "https://mvsep.com/api/separation/get"
        params = {
            "hash": hash_textbox
        }
        r = requests.get(url, params=params)
        rjson = r.json()
        status = rjson['status']
        files = rjson.get('data', {}).get('files', [])
        urls = [file['url'] for file in files]
        if status == "waiting" or status == "processing":
            return gr.Info("Job not finished yet, so nothing to download for now.")
        return json.dumps(urls, indent=4)
    except requests.exceptions.JSONDecodeError:
        return gr.Info("Nothing to download yet. Check back later.")

def split_by_dur(file_upload, dur_to_cut):
    if file_upload == None:
        raise gr.Error("Audio file cannot be empty!")
    try:
        audio = AudioSegment.from_file(file_upload)
        trimmed_audio = audio[:dur_to_cut]
        ms_to_min = round((dur_to_cut/(1000*60))%60, 1)
        with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as temp_file:
            trimmed_audio.export(temp_file.name, format="mp3")
            return f"Trimmed to {ms_to_min} minutes successfully.", temp_file.name
    except Exception as e:
        return gr.Error(traceback.format_exc())

def zip_to_many(zip_upload):
    temp_dir = "temp_audio_files"
    os.makedirs(temp_dir, exist_ok=True)
    with zipfile.ZipFile(zip_upload, 'r') as zip_ref:
        zip_ref.extractall(temp_dir)
    audio_files = [os.path.join(temp_dir, f) for f in os.listdir(temp_dir) if f.endswith(('.mp3', '.wav', '.ogg'))]
    combined_audio = AudioSegment.empty()
    for audio_file in audio_files:
        audio = AudioSegment.from_file(audio_file)
        combined_audio += audio
    output_path = "combined_audio.mp3"
    combined_audio.export(output_path, format="mp3")
    for audio_file in audio_files:
        os.remove(audio_file)
    os.rmdir(temp_dir)
    return "Done.", output_path

with gr.Blocks(theme='bethecloud/storj_theme', title="Global Dataset Maker") as app:
    gr.HTML(
        "<h1> Welcome to the Cafeteria (formally GDMGS)!</h1>"
    )
    gr.HTML(
        "<h2> Currently, no yt functions are working right now, so they have been deleted. Please use this tool to split an audio file, convert an mp4 file to mp3 or wav, or use mvsep."
    )
    gr.Markdown("## Duplicate this space if you want to make your own changes!")
    gr.HTML(
        """<p style="margin:5px auto;display: flex;justify-content: left;">
            <a href="https://huggingface.co/spaces/Kryptone/GDMGS?duplicate=true"><img src="https://huggingface.co/datasets/huggingface/badges/resolve/main/duplicate-this-space-md-dark.svg" alt="Duplicate this Space"></a>
        </p>"""
    )
    gr.Markdown(
        "This Space will create a dataset for you and use MVSEP to isolate vocals, all automatically. **Please be warned that due to not having a GPU on this Space, some steps might take longer to complete.**"
    )
    gr.HTML(
        "<h2> This Space's storage is ephemeral, meaning all audio files are visible to you only. I do not have access to any of this, nor would I do anything with it anyway. </h2>"
    )
    with gr.Tabs():
        with gr.TabItem("Misc tools"):
            with gr.Tab("File splitter"):
                gr.Markdown("If you would rather split a single WAV or mp3 audio file, use this method instead.")
                with gr.Row():
                    with gr.Column():
                        with gr.Row():
                            audiofileuploader = gr.File(file_count='single', file_types=[".wav", ".mp3"], label="WAV or mp3 file")
                            mindur2 = gr.Number(label="Min duration", minimum=1, maximum=10, value=1)
                            maxdur2 = gr.Number(label="Max duration", minimum=1, maximum=10, value=5)
                            name_for_split_files2 = gr.Textbox(label="Name for split files")
                            strict = gr.Checkbox(False, label="Enable strict duration?", info="Use this option if you want to minimize the '(audio_file) is less than 0.76 seconds' warning on Colab. Keep in mind that this only applies for min duration, max is ignored.")
                            audiofileuploadbtn = gr.Button("Split", variant='primary')
                        audiofileuploadbtn.click(
                            split_wav_or_mp3_file,
                            [audiofileuploader, mindur2, maxdur2, name_for_split_files2, strict],
                            [gr.Text(label="Output"), gr.File(label="Zipped files")]
                        )

            with gr.Tab("Split audio file by duration"):
                gr.Markdown("If you have an audio file thats too long for MVSEP (or any other use cases), use this section to split the audio by duration.")
                with gr.Row():
                    with gr.Column():
                        with gr.Row():
                            file_upload = gr.File(file_count='single', file_types=[".wav", ".mp3"], label="WAV or MP3 file")
                            dur_to_cut = gr.Number(label="Duration to split audio (in ms). Cannot be larger than the duration of the audio file.", precision=0)
                            begin = gr.Button("Split at given duration", variant='primary')
                        begin.click(
                            split_by_dur,
                            [file_upload, dur_to_cut],
                            [gr.Text(label="Output"), gr.File(label="Trimmed audio")]
                        )
            with gr.Tab("MP4 to mp3/wav converter"):
                gr.Markdown("If you have an mp4 file, you can convert it to mp3 or wav here. Only click the 'Remove file' button when done.")
                with gr.Row():
                    with gr.Column():
                        with gr.Row():
                            mp4fileuploader = gr.File(file_count='single', file_types=[".mp4"], label="mp4 file")
                            file_format = gr.Radio(["wav", "mp3"], value="mp3", label="Convert mp4 file to:")
                            convert_btn = gr.Button("Convert", variant='primary')
                            remove_file_btn = gr.Button("Remove file from directory", variant='secondary')
                        convert_btn.click(
                            mp4_to_wav_or_mp3,
                            [mp4fileuploader, file_format],
                            [gr.Text(label="Output"), gr.File(label="Converted audio file")]
                        )
                        remove_file_btn.click(
                            remove_audio_file_from_directory,
                            None,
                            None
                        )
            with gr.Tab("MVSEP"):
                gr.Markdown("Use MVSEP to isolate audio.\n\n**You will be required to input your API key, but it will not be saved ever, I don't use anything saved here for bad intentions, nor would I have access to it regardless.**")
                with gr.Tab("Send Request via audio file"):
                    with gr.Row():
                        with gr.Column():
                            with gr.Row():
                                mvsep_key = gr.Textbox(placeholder="Enter your MVSEP API key.", label="API key")
                                audio_file = gr.File(file_count='single', file_types=[".mp3"], label="Audio file")
                                sep_dropdown = gr.Dropdown(
                                    ["0 - spleeter (vocals, music)",
                                    "1 - spleeter (vocals, drums, bass, other)",
                                    "2 - spleeter (vocals, drums, bass, piano, other)",
                                    "3 - unmix XL (vocals, drums, bass, other)",
                                    "4 - unmix HQ (vocals, drums, bass, other)",
                                    "5 - unmix SD (vocals, drums, bass, other)",
                                    "6 - unmix SE (vocals, music)",
                                    "7 - MDX A (vocals, drums, bass, other)",
                                    "8 - MDX B (vocals, drums, bass, other)",
                                    "9 - UVR HQ (vocals, music)",
                                    "10 - Demucs3 Model A (vocals, drums, bass, other)",
                                    "11 - Demucs3 Model B (vocals, drums, bass, other)",
                                    "12 - MDX-B Karaoke (lead/back vocals)",
                                    "13 - Demucs2 (vocals, drums, bass, other)",
                                    "14 - Zero Shot (Query Based) (LQ)",
                                    "15 - Danna sep (vocals, drums, bass, other)",
                                    "16 - Byte Dance (vocals, drums, bass, other)",
                                    "17 - UVRv5 Demucs (vocals, music)",
                                    "18 - MVSep DNR (music, sfx, speech)",
                                    "19 - MVSep Vocal Model (vocals, music)",
                                    "20 - Demucs4 HT (vocals, drums, bass, other)",
                                    "--------------------------------------------------------------------------------------------------",
                                    "22 - FoxJoy Reverb Removal (other)",
                                    "23 - MDX B (vocals, instrumental)",
                                    "24 - MVSep Demucs4HT DNR (dialog, sfx, music)",
                                    "25 - MDX23C (vocals, instrumental)",
                                    "26 - Ensemble (vocals, instrumental) [PREMIUM ONLY]",
                                    "27 - Demucs4 Vocals 2023 (vocals, instrumental)",
                                    "28 - Ensemble (vocals, instrumental, bass, drums, other) [PREMIUM ONLY]",
                                    "29 - MVSep Piano (piano, other)",
                                    "30 - Ensemble All-In (vocals, bass, drums, piano, guitar, lead/back vocals, other) [PREMIUM ONLY]",
                                    "31 - MVSep Guitar (guitar, other)",
                                    "-------------------------------------------------------------------------------------------------",
                                    "33 - Vit Large 23 (vocals, instrum)",
                                    "34 - MVSep Crowd removal (crowd, other)",
                                    "35 - MVSep MelBand Roformer (vocals, instrum)",
                                    "36 - BandIt Plus (speech, music, effects)",
                                    "37 - DrumSep (kick, snare, cymbals, toms)",
                                    "38 - LarsNet (kick, snare, cymbals, toms, hihat)",
                                    "39 - Whisper (extract text from audio)",
                                    "40 - BS Roformer (vocals, instrumental)",
                                    "41 - MVSep Bass (bass, other)",
                                    "42 - MVSep MultiSpeaker (MDX23C)",
                                    "43 - MVSEP Multichannel BS (vocals, inst)",
                                    "44 - MVSep Drums (drums, other)",
                                    "45 - Bandit v2 (speech, music, effects)"
                                    ],
                                    max_choices=1,
                                    value="45 - Bandit v2 (speech, music, effects)",
                                    label="Model type:",
                                    interactive=True,
                                    type='index'
                                )
                                send_req = gr.Button("Send request", variant='primary')
                            send_req.click(
                                mvsep_api_request,
                                [mvsep_key, audio_file, sep_dropdown],
                                [gr.Text(label="Output")]
                            )
                with gr.Tab("Get status of request"):
                    with gr.Row():
                        with gr.Column():
                            with gr.Row():
                                hash_textbox = gr.Textbox(label="Hash")
                                check_status = gr.Button("Check status", variant='primary')
                                download = gr.Button("Download separated audio", variant='secondary')
                            check_status.click(
                                mvsep_check_request,
                                [hash_textbox],
                                [gr.Text(label="Status")]
                            )
                            download.click(
                                mvsep_download_separated_audio,
                                [hash_textbox],
                                [gr.Text(label="Link(s)")]
                            )
                with gr.Tab("Convert many audio files to one file"):
                gr.Markdown("Upload a ZIP full of many audio files and this will attempt to convert it to one long audio file.")
                with gr.Row():
                    with gr.Column():
                        with gr.Row():
                          zip_upload = gr.File(file_count='single', file_types=[".zip"], label="Zip file")
                          combine_btn = gr.Button("Combine", variant='primary')
                        combine_btn.click(
                            zip_to_many,
                            [zip_upload],
                            [gr.Text(label="Status"), gr.File(label="Combined file")]
                        )

        with gr.TabItem("Changelog"):
            gr.Markdown("v1.1 - Added new tool: Convert many audio files to one file.")
            gr.Markdown("v1 - Not the most exciting v1 release. **Removed yt functions as they are no longer working.**")
            gr.Markdown("v0.99.9 - Added new tool: Split audio file by duration.")
        
app.launch()