Create app.py

app.py

@@ -0,0 +1,194 @@
+from original import *
+import shutil, glob
+from easyfuncs import download_from_url, CachedModels
+os.makedirs("dataset",exist_ok=True)
+model_library = CachedModels()
+
+with gr.Blocks(title="🔊",theme=gr.themes.Base(primary_hue="rose",neutral_hue="zinc")) as app:
+    with gr.Row():
+        gr.HTML("<img  src='file/a.png' alt='image'>")
+    with gr.Tabs():
+        with gr.TabItem("Inference"):
+            with gr.Row():
+                voice_model = gr.Dropdown(label="Model Voice", choices=sorted(names), value=lambda:sorted(names)[0] if len(sorted(names)) > 0 else '', interactive=True)
+                refresh_button = gr.Button("Refresh", variant="primary")
+                spk_item = gr.Slider(
+                    minimum=0,
+                    maximum=2333,
+                    step=1,
+                    label="Speaker ID",
+                    value=0,
+                    visible=False,
+                    interactive=True,
+                )
+                vc_transform0 = gr.Number(
+                    label="Pitch", 
+                    value=0
+                )
+                but0 = gr.Button(value="Convert", variant="primary")
+            with gr.Row():
+                with gr.Column():
+                    with gr.Row():
+                        dropbox = gr.File(label="Drop your audio here & hit the Reload button.")
+                    with gr.Row():
+                        record_button=gr.Audio(source="microphone", label="OR Record audio.", type="filepath")
+                    with gr.Row():
+                        paths_for_files = lambda path:[os.path.abspath(os.path.join(path, f)) for f in os.listdir(path) if os.path.splitext(f)[1].lower() in ('.mp3', '.wav', '.flac', '.ogg')]
+                        input_audio0 = gr.Dropdown(
+                            label="Input Path",
+                            value=paths_for_files('audios')[0] if len(paths_for_files('audios')) > 0 else '',
+                            choices=paths_for_files('audios'), # Only show absolute paths for audio files ending in .mp3, .wav, .flac or .ogg
+                            allow_custom_value=True
+                        )
+                    with gr.Row():
+                        audio_player = gr.Audio()
+                        input_audio0.change(
+                            inputs=[input_audio0],
+                            outputs=[audio_player],
+                            fn=lambda path: {"value":path,"__type__":"update"} if os.path.exists(path) else None
+                        )
+                        record_button.stop_recording(
+                            fn=lambda audio:audio, #TODO save wav lambda
+                            inputs=[record_button], 
+                            outputs=[input_audio0])
+                        dropbox.upload(
+                            fn=lambda audio:audio.name,
+                            inputs=[dropbox], 
+                            outputs=[input_audio0])
+                with gr.Column():
+                    with gr.Accordion("Change Index", open=False):
+                        file_index2 = gr.Dropdown(
+                            label="Change Index",
+                            choices=sorted(index_paths),
+                            interactive=True,
+                            value=sorted(index_paths)[0] if len(sorted(index_paths)) > 0 else ''
+                        )
+                        index_rate1 = gr.Slider(
+                            minimum=0,
+                            maximum=1,
+                            label="Index Strength",
+                            value=0.5,
+                            interactive=True,
+                        )
+                    vc_output2 = gr.Audio(label="Output")
+                    with gr.Accordion("General Settings", open=False):
+                        f0method0 = gr.Radio(
+                            label="Method",
+                            choices=["pm", "harvest", "crepe", "rmvpe"]
+                            if config.dml == False
+                            else ["pm", "harvest", "rmvpe"],
+                            value="rmvpe",
+                            interactive=True,
+                        )
+                        filter_radius0 = gr.Slider(
+                            minimum=0,
+                            maximum=7,
+                            label="Breathiness Reduction (Harvest only)",
+                            value=3,
+                            step=1,
+                            interactive=True,
+                        )
+                        resample_sr0 = gr.Slider(
+                            minimum=0,
+                            maximum=48000,
+                            label="Resample",
+                            value=0,
+                            step=1,
+                            interactive=True,
+                            visible=False
+                        )
+                        rms_mix_rate0 = gr.Slider(
+                            minimum=0,
+                            maximum=1,
+                            label="Volume Normalization",
+                            value=0,
+                            interactive=True,
+                        )
+                        protect0 = gr.Slider(
+                            minimum=0,
+                            maximum=0.5,
+                            label="Breathiness Protection (0 is enabled, 0.5 is disabled)",
+                            value=0.33,
+                            step=0.01,
+                            interactive=True,
+                        )
+                        if voice_model != None: vc.get_vc(voice_model.value,protect0,protect0)
+                    file_index1 = gr.Textbox(
+                        label="Index Path",
+                        interactive=True,
+                        visible=False#Not used here
+                    )
+                    refresh_button.click(
+                        fn=change_choices,
+                        inputs=[],
+                        outputs=[voice_model, file_index2],
+                        api_name="infer_refresh",
+                    )
+                    refresh_button.click(
+                        fn=lambda:{"choices":paths_for_files('audios'),"__type__":"update"}, #TODO check if properly returns a sorted list of audio files in the 'audios' folder that have the extensions '.wav', '.mp3', '.ogg', or '.flac'
+                        inputs=[],
+                        outputs = [input_audio0],   
+                    )
+                    refresh_button.click(
+                        fn=lambda:{"value":paths_for_files('audios')[0],"__type__":"update"} if len(paths_for_files('audios')) > 0 else {"value":"","__type__":"update"}, #TODO check if properly returns a sorted list of audio files in the 'audios' folder that have the extensions '.wav', '.mp3', '.ogg', or '.flac'
+                        inputs=[],
+                        outputs = [input_audio0],   
+                    )
+            with gr.Row():
+                f0_file = gr.File(label="F0 Path", visible=False)
+            with gr.Row():
+                vc_output1 = gr.Textbox(label="Information", placeholder="Welcome!",visible=False)
+                but0.click(
+                    vc.vc_single,  
+                    [
+                        spk_item,
+                        input_audio0,
+                        vc_transform0,
+                        f0_file,
+                        f0method0,
+                        file_index1,
+                        file_index2,
+                        index_rate1,
+                        filter_radius0,
+                        resample_sr0,
+                        rms_mix_rate0,
+                        protect0,
+                    ],
+                    [vc_output1, vc_output2],
+                    api_name="infer_convert",
+                )  
+                voice_model.change(
+                    fn=vc.get_vc,
+                    inputs=[voice_model, protect0, protect0],
+                    outputs=[spk_item, protect0, protect0, file_index2, file_index2],
+                    api_name="infer_change_voice",
+                )
+        with gr.TabItem("Download Models"):
+            with gr.Row():
+                url_input = gr.Textbox(label="URL to model", value="",placeholder="https://...", scale=6)
+                name_output = gr.Textbox(label="Save as", value="",placeholder="MyModel",scale=2)
+                url_download = gr.Button(value="Download Model",scale=2)
+                url_download.click(
+                    inputs=[url_input,name_output],
+                    outputs=[url_input],
+                    fn=download_from_url,
+                )
+            with gr.Row():
+                model_browser = gr.Dropdown(choices=list(model_library.models.keys()),label="OR Search Models (Quality UNKNOWN)",scale=5)
+                download_from_browser = gr.Button(value="Get",scale=2)
+                download_from_browser.click(
+                    inputs=[model_browser],
+                    outputs=[model_browser],
+                    fn=lambda model: download_from_url(model_library.models[model],model),
+                )
+        
+
+    if config.iscolab:
+        app.queue(concurrency_count=511, max_size=1022).launch(share=True)
+    else:
+        app.queue(concurrency_count=511, max_size=1022).launch(
+            server_name="0.0.0.0",
+            inbrowser=not config.noautoopen,
+            server_port=config.listen_port,
+            quiet=True,
+        )