File size: 10,668 Bytes
20d05ae
 
925d97e
 
 
 
 
 
 
 
 
20d05ae
925d97e
 
 
0cb3834
925d97e
 
 
 
 
 
 
eb3ba2e
925d97e
 
 
42cf67e
925d97e
f98d769
925d97e
 
 
 
 
 
 
 
eb3ba2e
925d97e
 
 
 
 
 
20d05ae
 
0cb3834
a87192b
f65d2ed
018ecd4
a87192b
 
 
 
 
 
0cb3834
 
a87192b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0cb3834
 
 
 
 
 
a87192b
0cb3834
eb3ba2e
 
 
 
 
 
 
 
 
 
 
 
6f1ebe2
5837809
895578d
f98d769
 
 
 
 
 
 
 
6f1ebe2
 
 
eb3ba2e
 
 
 
f98d769
eb3ba2e
6f1ebe2
 
f98d769
6f1ebe2
f98d769
925d97e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6f1ebe2
 
0cb3834
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
eb3ba2e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
20d05ae
9db2503
eb3ba2e
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
import gradio as gr
import os
from constants import VOICE_METHODS, BARK_VOICES, EDGE_VOICES
import platform
from models.model import *
from tts.conversion import COQUI_LANGUAGES
import pytube
import os
import traceback
from pydub import AudioSegment
# from audio_enhance.functions import audio_enhance

def convert_yt_to_wav(url):
    if not url:
        return "Primero introduce el enlace del video", None
    
    try:
        print(f"Convirtiendo video {url}...")
        # Descargar el video utilizando pytube
        video = pytube.YouTube(url)
        stream = video.streams.filter(only_audio=True).first()
        video_output_folder = os.path.join(f"yt_videos")  # Ruta de destino de la carpeta
        audio_output_folder = 'audios'

        print("Downloading video")
        video_file_path = stream.download(output_path=video_output_folder)
        print(video_file_path)

        file_name = os.path.basename(video_file_path)
        
        audio_file_path = os.path.join(audio_output_folder, file_name.replace('.mp4','.wav'))
        # convert mp4 to wav
        print("Converting to wav")
        sound = AudioSegment.from_file(video_file_path,format="mp4")
        sound.export(audio_file_path, format="wav")
        
        if os.path.exists(video_file_path):
            os.remove(video_file_path)
            
        return "Success", audio_file_path
    except ConnectionResetError as cre:
        return "Se ha perdido la conexi贸n, recarga o reintentalo nuevamente m谩s tarde.", None
    except Exception as e:
        return str(e), None
    
with gr.Blocks() as app:
    gr.HTML("<h1> Simple RVC Inference - by Juuxn 馃捇 </h1>")
    
    gr.HTML("<h4> El espacio actual usa solo cpu, as铆 que es solo para inferencia. Se recomienda duplicar el espacio para no tener problemas con las colas de procesamiento. </h4>")
    
    gr.Markdown("[![Open In Colab](https://img.shields.io/badge/Colab-F9AB00?style=for-the-badge&logo=googlecolab&color=525252)](https://colab.research.google.com/drive/1NKqqTR04HujeBxzwe7jbYEvNi8LbxD_N?usp=sharing)")
    gr.Markdown(
        "[![Duplicate this Space](https://huggingface.co/datasets/huggingface/badges/raw/main/duplicate-this-space-sm-dark.svg)](https://huggingface.co/spaces/juuxn/SimpleRVC?duplicate=true)\n\n"
    ) 
    
    gr.Markdown("Recopilaci贸n de modelos que puedes usar: RVC + Kits ai. **[RVC Community Models](https://docs.google.com/spreadsheets/d/1owfUtQuLW9ReiIwg6U9UkkDmPOTkuNHf0OKQtWu1iaI)**")
    
    with gr.Tab("Inferencia"):
        model_url = gr.Textbox(placeholder="https://huggingface.co/AIVER-SE/BillieEilish/resolve/main/BillieEilish.zip", label="Url del modelo", show_label=True)
        with gr.Row():
            with gr.Column():
                audio_path = gr.Audio(label="Archivo de audio", show_label=True, type="filepath",)
                index_rate = gr.Slider(minimum=0, maximum=1, label="Search feature ratio:", value=0.75, interactive=True,)
                filter_radius1 = gr.Slider(minimum=0, maximum=7, label="Filtro (reducci贸n de asperezas respiraci贸n)", value=3, step=1, interactive=True,)
            with gr.Column():
                f0_method = gr.Dropdown(choices=["harvest", "pm", "crepe", "crepe-tiny", "mangio-crepe", "mangio-crepe-tiny", "rmvpe"], 
                                    value="rmvpe", 
                                    label="Algoritmo", show_label=True)
                vc_transform0 = gr.Slider(minimum=-12, label="N煤mero de semitonos, subir una octava: 12, bajar una octava: -12", value=0, maximum=12, step=1)
                protect0 = gr.Slider(
                    minimum=0, maximum=0.5, label="Protejer las consonantes sordas y los sonidos respiratorios. 0.5 para desactivarlo.", value=0.33,
                    step=0.01,
                interactive=True,
                )
                resample_sr1 = gr.Slider(
                    minimum=0,
                    maximum=48000,
                    label="Re-muestreo sobre el audio de salida hasta la frecuencia de muestreo final. 0 para no re-muestrear.",
                    value=0,
                    step=1,
                    interactive=True,
                )
                 
        # Salida
        with gr.Row():
            vc_output1 = gr.Textbox(label="Salida")
            vc_output2 = gr.Audio(label="Audio de salida")
                            
        btn = gr.Button(value="Convertir")
        btn.click(infer, inputs=[model_url, f0_method, audio_path, index_rate, vc_transform0, protect0, resample_sr1, filter_radius1], outputs=[vc_output1, vc_output2])
        
    with gr.TabItem("TTS"):
        with gr.Row():
            tts_text = gr.Textbox(
                label="Texto:",
                placeholder="Texto que deseas convertir a voz...",
                lines=6,
            )

        with gr.Column():
            with gr.Row():
                tts_model_url = gr.Textbox(placeholder="https://huggingface.co/AIVER-SE/BillieEilish/resolve/main/BillieEilish.zip", label="Url del modelo RVC", show_label=True)
                
            with gr.Row():
                tts_method = gr.Dropdown(choices=VOICE_METHODS, value="Edge-tts", label="M茅todo TTS:", visible=True)
                tts_model = gr.Dropdown(choices=EDGE_VOICES, label="Modelo TTS:", visible=True, interactive=True)
                tts_api_key = gr.Textbox(label="ElevenLabs Api key", show_label=True, placeholder="4a4afce72349680c8e8b6fdcfaf2b65a",interactive=True, visible=False)
            
            tts_coqui_languages = gr.Radio(
                label="Language",
                choices=COQUI_LANGUAGES,
                value="en",
                visible=False
            )
            
            tts_btn = gr.Button(value="Convertir")
                
            with gr.Row():
                tts_vc_output1 = gr.Textbox(label="Salida")
                tts_vc_output2 = gr.Audio(label="Audio de salida")   
            
        tts_btn.click(fn=tts_infer, inputs=[tts_text, tts_model_url, tts_method, tts_model, tts_api_key, tts_coqui_languages], outputs=[tts_vc_output1, tts_vc_output2])
        
        tts_msg = gr.Markdown("""**Recomiendo que te crees una cuenta de eleven labs y pongas tu clave de api, es gratis y tienes 10k caracteres de limite al mes.** <br/>
                ![Imgur](https://imgur.com/HH6YTu0.png)
                """, visible=False)
        
        tts_method.change(fn=update_tts_methods_voice, inputs=[tts_method], outputs=[tts_model, tts_msg, tts_api_key, tts_coqui_languages])
    
    with gr.TabItem("Youtube"):
        gr.Markdown("## Convertir video de Youtube a audio")
        with gr.Row():
            yt_url = gr.Textbox(
                label="Url del video:",
                placeholder="https://www.youtube.com/watch?v=3vEiqil5d3Q"
            )
        yt_btn = gr.Button(value="Convertir")
                
        with gr.Row():
            yt_output1 = gr.Textbox(label="Salida")
            yt_output2 = gr.Audio(label="Audio de salida")   
            
        yt_btn.click(fn=convert_yt_to_wav, inputs=[yt_url], outputs=[yt_output1, yt_output2])
         
    # with gr.TabItem("Mejora de audio"):
    #     enhance_input_audio = gr.Audio(label="Audio de entrada")
    #     enhance_output_audio = gr.Audio(label="Audio de salida")

    #     btn_enhance_audio = gr.Button()
    #     # btn_enhance_audio.click(fn=audio_enhance, inputs=[enhance_input_audio], outputs=[enhance_output_audio])
        
        
    with gr.Tab("Modelos"):
        gr.HTML("<h4>Buscar modelos</h4>")
        search_name = gr.Textbox(placeholder="Billie Eillish (RVC v2 - 100 epoch)", label="Nombre", show_label=True)
         # Salida
        with gr.Row():
            sarch_output = gr.Markdown(label="Salida")
            
        btn_search_model = gr.Button(value="Buscar")
        btn_search_model.click(fn=search_model, inputs=[search_name], outputs=[sarch_output])
        
        gr.HTML("<h4>Publica tu modelo</h4>")
        post_name = gr.Textbox(placeholder="Billie Eillish (RVC v2 - 100 epoch)", label="Nombre", show_label=True)
        post_model_url = gr.Textbox(placeholder="https://huggingface.co/AIVER-SE/BillieEilish/resolve/main/BillieEilish.zip", label="Url del modelo", show_label=True)
        post_creator = gr.Textbox(placeholder="ID de discord o enlace al perfil del creador", label="Creador", show_label=True)
        post_version = gr.Dropdown(choices=["RVC v1", "RVC v2"], value="RVC v1", label="Versi贸n", show_label=True)
        
         # Salida
        with gr.Row():
            post_output = gr.Markdown(label="Salida")
            
        btn_post_model = gr.Button(value="Publicar")
        btn_post_model.click(fn=post_model, inputs=[post_name, post_model_url, post_version, post_creator], outputs=[post_output])
                
        #     with gr.Column():
        #         model_voice_path07 = gr.Dropdown(
        #             label=i18n("RVC Model:"),
        #             choices=sorted(names),
        #             value=default_weight,
        #         )
        #         best_match_index_path1, _ = match_index(
        #             model_voice_path07.value
        #         )

        #         file_index2_07 = gr.Dropdown(
        #             label=i18n("Select the .index file:"),
        #             choices=get_indexes(),
        #             value=best_match_index_path1,
        #             interactive=True,
        #             allow_custom_value=True,
        #         )
        # with gr.Row():
        #     refresh_button_ = gr.Button(i18n("Refresh"), variant="primary")
        #     refresh_button_.click(
        #         fn=change_choices2,
        #         inputs=[],
        #         outputs=[model_voice_path07, file_index2_07],
        #     )
        # with gr.Row():
        #     original_ttsvoice = gr.Audio(label=i18n("Audio TTS:"))
        #     ttsvoice = gr.Audio(label=i18n("Audio RVC:"))

        # with gr.Row():
        #     button_test = gr.Button(i18n("Convert"), variant="primary")

        # button_test.click(
        #     tts.use_tts,
        #     inputs=[
        #         text_test,
        #         tts_test,
        #         model_voice_path07,
        #         file_index2_07,
        #         # transpose_test,
        #         vc_transform0,
        #         f0method8,
        #         index_rate1,
        #         crepe_hop_length,
        #         f0_autotune,
        #         ttsmethod_test,
        #     ],
        #     outputs=[ttsvoice, original_ttsvoice],
        # )

    
    
    app.queue(concurrency_count=200, max_size=1022).launch()
    #share=True