Update app.py

app.py

@@ -44,133 +44,28 @@ def convert_yt_to_wav(url):
         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.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)**")
-    
-    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 (reducción de asperezas respiración)", 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)
-                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="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_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)
+    with gr.Tab("模型搜索及上传"):
+        gr.HTML("<h3>搜索AI歌手模型</h3>")
+        search_name = gr.Textbox(placeholder="孙燕姿", label="请填写模型名称进行搜索", show_label=True)
          # Salida
         with gr.Row():
-            sarch_output = gr.Markdown(label="Salida")
+            sarch_output = gr.Markdown(label="搜索结果")
             
-        btn_search_model = gr.Button(value="Buscar")
+        btn_search_model = gr.Button(value="开始搜索吧💖")
         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="Versión", show_label=True)
+        gr.HTML("<h3>上传AI歌手模型至社区，上传完成后您立即可以搜索到您上传的模型</h3>")
+        post_name = gr.Textbox(placeholder="滔滔歌姬", label="请填写模型名称", show_label=True)
+        post_model_url = gr.Textbox(placeholder="https://huggingface.co/kevinwang676/RVC-models/resolve/main/talktalkgirl.zip", label="模型链接", info="1.推荐使用Hugging Face存放模型 2.复制Hugging Face模型链接后，需要将链接中的blob四个字母替换成resolve，使模型可以通过链接直接下载", show_label=True)
+        post_creator = gr.Textbox(placeholder="滔滔AI", label="模型贡献者", info="可填写您的昵称或任何有趣的ID", show_label=True)
+        post_version = gr.Dropdown(choices=["RVC v1", "RVC v2"], value="RVC v2", label="RVC模型版本", show_label=True)
         
          # Salida
         with gr.Row():
-            post_output = gr.Markdown(label="Salida")
+            post_output = gr.Markdown(label="模型上传状态")
             
-        btn_post_model = gr.Button(value="Publicar")
+        btn_post_model = gr.Button(value="开始上传吧💕")
         btn_post_model.click(fn=post_model, inputs=[post_name, post_model_url, post_version, post_creator], outputs=[post_output])
                 
         #     with gr.Column():