Update app.py

app.py

@@ -67,7 +67,7 @@ def create_vc_fn(tgt_sr, net_g, vc, if_f0, file_index):
             print(
                 f"[{datetime.now().strftime('%Y-%m-%d %H:%M')}]: npy: {times[0]}, f0: {times[1]}s, infer: {times[2]}s"
             )
-            return "Success", (tgt_sr, audio_opt)
+            return "Perfecto", (tgt_sr, audio_opt)
         except:
             info = traceback.format_exc()
             print(info)
@@ -129,7 +129,7 @@ if __name__ == '__main__':
     else:
         folder_path = "weights"
         for name in os.listdir(folder_path):
-            print("check folder: " + name)
+            print("Comprobando carpeta: " + name)
             if name.startswith("."): break
             if name.endswith(".json"):
                continue
@@ -164,10 +164,10 @@ if __name__ == '__main__':
             models.append((name, title, author, cover, create_vc_fn(tgt_sr, net_g, vc, if_f0, index)))
     with gr.Blocks() as app:
         gr.Markdown(
-            "# <center> RVC Models (Latest Update)\n"
-            "## <center> The input audio should be clean and pure voice without background music.\n"
-            "### <center> [Recommended to use google colab for more features](https://colab.research.google.com/drive/110kiMZTdP6Ri1lY9-NbQf17GVPPhHyeT?usp=sharing) \n"
-            "#### <center> Please regenerate your model to latest RVC to fully applied this new rvc.\n"
+            "# <center> RVC GURA Model (Ultima Actualización)\n"
+            "## <center> El audio introducido debe estar limpio,que no contenga musica de fondo, mala calidad, ruidos, estatica\n"
+            "### <center> [Recomiendo utilizar google colab para mejores funcionalidades, pero no habra gura ahi](https://colab.research.google.com/drive/110kiMZTdP6Ri1lY9-NbQf17GVPPhHyeT?usp=sharing) \n"
+            #"#### <center> Please regenerate your model to latest RVC to fully applied this new rvc.\n"
             "[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/110kiMZTdP6Ri1lY9-NbQf17GVPPhHyeT?usp=sharing)\n\n"
             "[![Original Repo](https://badgen.net/badge/icon/github?icon=github&label=Original%20Repo)](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI)"
         )
@@ -184,10 +184,10 @@ if __name__ == '__main__':
                         )
                     with gr.Row():
                         with gr.Column():
-                            vc_input = gr.Audio(label="Input audio"+' (less than 20 seconds)' if limitation else '')
+                            vc_input = gr.Audio(label="Audio de entrada"+' (menos de 20 segundos)' if limitation else '')
                             vc_transpose = gr.Number(label="Transpose", value=0)
                             vc_f0method = gr.Radio(
-                                label="Pitch extraction algorithm, PM is fast but Harvest is better for low frequencies",
+                                label="Pitch extraction algorithm, PM is fast but Harvest is better for low frequencies /Algoritmo de extracción de tono, PM es rápido pero Harvest es mejor para frecuencias bajas",
                                 choices=["pm", "harvest"],
                                 value="pm",
                                 interactive=True,
@@ -195,17 +195,17 @@ if __name__ == '__main__':
                             vc_index_ratio = gr.Slider(
                                 minimum=0,
                                 maximum=1,
-                                label="Retrieval feature ratio",
+                                label="Relacion respecto al audio",
                                 value=0.6,
                                 interactive=True,
                             )
-                            tts_mode = gr.Checkbox(label="tts (use edge-tts as input)", value=False)
-                            tts_text = gr.Textbox(visible=False,label="TTS text (100 words limitation)" if limitation else "TTS text")
-                            tts_voice = gr.Dropdown(label="Edge-tts speaker", choices=voices, visible=False, allow_custom_value=False, value="en-US-AnaNeural-Female")
-                            vc_submit = gr.Button("Generate", variant="primary")
+                            tts_mode = gr.Checkbox(label="Texto a Voz (usa edge-tts como entrada)", value=False)
+                            tts_text = gr.Textbox(visible=False,label="Texto (100 palabras limite)" if limitation else "Texto TTS")
+                            tts_voice = gr.Dropdown(label="Hablante Edge-tts", choices=voices, visible=False, allow_custom_value=False, value="en-US-AnaNeural-Female")
+                            vc_submit = gr.Button("Generar", variant="primary")
                         with gr.Column():
-                            vc_output1 = gr.Textbox(label="Output Message")
-                            vc_output2 = gr.Audio(label="Output Audio")
+                            vc_output1 = gr.Textbox(label="Mensaje de salida")
+                            vc_output2 = gr.Audio(label="Audio de salida")
                 vc_submit.click(vc_fn, [vc_input, vc_transpose, vc_f0method, vc_index_ratio, tts_mode, tts_text, tts_voice], [vc_output1, vc_output2])
                 tts_mode.change(change_to_tts_mode, [tts_mode], [vc_input, tts_text, tts_voice])
         gr.Markdown('# <center>Changelog 2023.05.15')