english

app.py

@@ -12,14 +12,14 @@ from pydub import AudioSegment
 
 def convert_yt_to_wav(url):
     if not url:
-        return "Primero introduce el enlace del video", None
+        return "Please enter the video link", None
     
     try:
-        print(f"Convirtiendo video {url}...")
-        # Descargar el video utilizando pytube
+        print(f"Converting video {url}...")
+        # Download the video using 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
+        video_output_folder = os.path.join(f"yt_videos")  # Destination folder path
         audio_output_folder = 'audios'
 
         print("Downloading video")
@@ -29,9 +29,9 @@ def convert_yt_to_wav(url):
         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
+        # Convert mp4 to wav
         print("Converting to wav")
-        sound = AudioSegment.from_file(video_file_path,format="mp4")
+        sound = AudioSegment.from_file(video_file_path, format="mp4")
         sound.export(audio_file_path, format="wav")
         
         if os.path.exists(video_file_path):
@@ -39,72 +39,72 @@ def convert_yt_to_wav(url):
             
         return "Success", audio_file_path
     except ConnectionResetError as cre:
-        return "Se ha perdido la conexión, recarga o reintentalo nuevamente más tarde.", None
+        return "Connection lost, please refresh or try again later.", None
     except Exception as e:
         return str(e), None
     
 with gr.Blocks() as app:
     gr.HTML("<h1> Simple RVC Inference - by Juuxn 💻 </h1>")
     
-    gr.HTML("<h4> El espacio actual usa solo cpu, así que es solo para inferencia. Se recomienda duplicar el espacio para no tener problemas con las colas de procesamiento. </h4>")
+    gr.HTML("<h4> The current space uses only CPU, so it's only for inference. It is recommended to duplicate the space to avoid issues with processing queues. </h4>")
     
-    gr.Markdown("Simple RVC GPU Inference on colab: [![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("Simple RVC GPU Inference on Colab: [![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("Recopilación de modelos que puedes usar: RVC + Kits ai. **[RVC Community Models](https://docs.google.com/spreadsheets/d/1owfUtQuLW9ReiIwg6U9UkkDmPOTkuNHf0OKQtWu1iaI)**")
+    gr.Markdown("Collection of models you can use: RVC + AI Kits. **[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.Tab("Inference"):
+        model_url = gr.Textbox(placeholder="https://huggingface.co/AIVER-SE/BillieEilish/resolve/main/BillieEilish.zip", label="Model URL", 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 (reducción de asperezas respiración)", value=3, step=1, interactive=True,)
+                audio_path = gr.Audio(label="Audio File", 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="Filter (breathing roughness reduction)", 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="Número de semitonos, subir una octava: 12, bajar una octava: -12", value=0, maximum=12, step=1)
+                                    label="Algorithm", show_label=True)
+                vc_transform0 = gr.Slider(minimum=-12, label="Number of semitones, up an octave: 12, down an octave: -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,
+                    minimum=0, maximum=0.5, label="Protect voiceless consonants and breathing sounds. 0.5 to disable.", value=0.33,
                     step=0.01,
-                interactive=True,
+                    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.",
+                    label="Resample the output audio to the final sampling rate. 0 for no resampling.",
                     value=0,
                     step=1,
                     interactive=True,
                 )
                  
-        # Salida
+        # Output
         with gr.Row():
-            vc_output1 = gr.Textbox(label="Salida")
-            vc_output2 = gr.Audio(label="Audio de salida")
+            vc_output1 = gr.Textbox(label="Output")
+            vc_output2 = gr.Audio(label="Output Audio")
                             
-        btn = gr.Button(value="Convertir")
+        btn = gr.Button(value="Convert")
         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...",
+                label="Text:",
+                placeholder="Text you want to convert to speech...",
                 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)
+                tts_model_url = gr.Textbox(placeholder="https://huggingface.co/AIVER-SE/BillieEilish/resolve/main/BillieEilish.zip", label="RVC Model URL", show_label=True)
                 
             with gr.Row():
-                tts_method = gr.Dropdown(choices=VOICE_METHODS, value="Edge-tts", label="Método 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_method = gr.Dropdown(choices=VOICE_METHODS, value="Edge-tts", label="TTS Method:", visible=True)
+                tts_model = gr.Dropdown(choices=EDGE_VOICES, label="TTS Model:", 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",
@@ -113,116 +113,57 @@ with gr.Blocks() as app:
                 visible=False
             )
             
-            tts_btn = gr.Button(value="Convertir")
+            tts_btn = gr.Button(value="Convert")
                 
             with gr.Row():
-                tts_vc_output1 = gr.Textbox(label="Salida")
-                tts_vc_output2 = gr.Audio(label="Audio de salida")   
+                tts_vc_output1 = gr.Textbox(label="Output")
+                tts_vc_output2 = gr.Audio(label="Output Audio")   
             
         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/>
+        tts_msg = gr.Markdown("""**I recommend creating an Eleven Labs account and entering your API key; it's free and you have a limit of 10k characters per month.** <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")
+        gr.Markdown("## Convert YouTube video to audio")
         with gr.Row():
             yt_url = gr.Textbox(
-                label="Url del video:",
+                label="Video URL:",
                 placeholder="https://www.youtube.com/watch?v=3vEiqil5d3Q"
             )
-        yt_btn = gr.Button(value="Convertir")
+        yt_btn = gr.Button(value="Convert")
                 
         with gr.Row():
-            yt_output1 = gr.Textbox(label="Salida")
-            yt_output2 = gr.Audio(label="Audio de salida")   
+            yt_output1 = gr.Textbox(label="Output")
+            yt_output2 = gr.Audio(label="Output Audio")   
             
         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.Tab("Models"):
+        gr.HTML("<h4>Search models</h4>")
+        search_name = gr.Textbox(placeholder="Billie Eilish (RVC v2 - 100 epoch)", label="Name", show_label=True)
+         # Output
         with gr.Row():
-            sarch_output = gr.Markdown(label="Salida")
+            search_output = gr.Markdown(label="Output")
             
-        btn_search_model = gr.Button(value="Buscar")
-        btn_search_model.click(fn=search_model, inputs=[search_name], outputs=[sarch_output])
+        btn_search_model = gr.Button(value="Search")
+        btn_search_model.click(fn=search_model, inputs=[search_name], outputs=[search_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="Versión", show_label=True)
+        gr.HTML("<h4>Submit your model</h4>")
+        post_name = gr.Textbox(placeholder="Billie Eilish (RVC v2 - 100 epoch)", label="Name", show_label=True)
+        post_model_url = gr.Textbox(placeholder="https://huggingface.co/AIVER-SE/BillieEilish/resolve/main/BillieEilish.zip", label="Model URL", show_label=True)
+        post_creator = gr.Textbox(placeholder="Discord ID or link to creator's profile", label="Creator", show_label=True)
+        post_version = gr.Dropdown(choices=["RVC v1", "RVC v2"], value="RVC v1", label="Version", show_label=True)
         
-         # Salida
+         # Output
         with gr.Row():
-            post_output = gr.Markdown(label="Salida")
+            post_output = gr.Markdown(label="Output")
             
-        btn_post_model = gr.Button(value="Publicar")
+        btn_post_model = gr.Button(value="Post")
         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
+    #share=True