testVocie2voice

app.py

@@ -1,111 +1,176 @@
 import gradio as gr
-import sys
+from gradio_client import Client
 import os
-import logging
-
-now_dir = os.getcwd()
-sys.path.append(now_dir)
-
-# Tabs
-from tabs.inference.inference import inference_tab
-from tabs.train.train import train_tab
-from tabs.extra.extra import extra_tab
-from tabs.report.report import report_tab
-from tabs.download.download import download_tab
-from tabs.tts.tts import tts_tab
-from tabs.voice_blender.voice_blender import voice_blender_tab
-from tabs.settings.presence import presence_tab, load_config_presence
-from tabs.settings.flask_server import flask_server_tab
-from tabs.settings.fake_gpu import fake_gpu_tab, gpu_available, load_fake_gpu
-from tabs.settings.themes import theme_tab
-from tabs.plugins.plugins import plugins_tab
-from tabs.settings.version import version_tab
-from tabs.settings.lang import lang_tab
-from tabs.settings.restart import restart_tab
-
-# Assets
-import assets.themes.loadThemes as loadThemes
-from assets.i18n.i18n import I18nAuto
-import assets.installation_checker as installation_checker
-from assets.discord_presence import RPCManager
-from assets.flask.server import start_flask, load_config_flask
-from core import run_prerequisites_script
-
-run_prerequisites_script("False", "True", "True", "True")
-
-i18n = I18nAuto()
-if load_config_presence() == True:
-    RPCManager.start_presence()
-installation_checker.check_installation()
-logging.getLogger("uvicorn").disabled = True
-logging.getLogger("fairseq").disabled = True
-if load_config_flask() == True:
-    print("Starting Flask server")
-    start_flask()
-
-my_applio = loadThemes.load_json()
-if my_applio:
-    pass
-else:
-    my_applio = "ParityError/Interstellar"
-
-with gr.Blocks(theme=my_applio, title="Applio") as Applio:
-    gr.Markdown("# Applio")
-    gr.Markdown(
-        i18n(
-            "Ultimate voice cloning tool, meticulously optimized for unrivaled power, modularity, and user-friendly experience."
+import tempfile
+
+# Crea il client Gradio per l'inferenza
+inference_client = Client("http://127.0.0.1:6969/")
+
+# Cartella di output in assets
+output_folder = "assets/generated"
+os.makedirs(output_folder, exist_ok=True)
+
+def process_audio(audio_file):
+    if audio_file is None:
+        return None, "Nessun file audio caricato."
+    
+    # Ottieni il percorso temporaneo del file caricato
+    input_file = audio_file.name
+    
+    try:
+        # Prepara il percorso di output
+        output_filename = f"generated_{os.path.basename(input_file)}"
+        output_path = os.path.join(output_folder, output_filename)
+
+        # Esegui la predizione
+        result = inference_client.predict(
+            -24,  # Pece
+            0,    # Raggio del filtro
+            0,    # Rapporto feature di ricerca
+            0,    # Inviluppo del volume
+            0,    # Proteggi le consonanti sorde
+            1,    # Lunghezza del luppolo
+            "pm", # Algoritmo di estrazione del passo
+            input_file,  # Percorso del file audio di input
+            output_path, # Percorso del file audio di output
+            "logs/master/master.pth", # Modello vocale
+            "logs/master/added_IVF124_Flat_nprobe_1_master-v2_v2.index", # File di indice
+            True, # Dividere l'audio
+            True, # Sintonizzazione automatica
+            True, # Audio pulito
+            0,    # Forza pulita
+            "WAV", # Export Format
+            api_name="/run_infer_script"
         )
-    )
-    gr.Markdown(
-        i18n(
-            "[Support](https://discord.gg/IAHispano) — [Discord Bot](https://discord.com/oauth2/authorize?client_id=1144714449563955302&permissions=1376674695271&scope=bot%20applications.commands) — [Find Voices](https://applio.org/models) — [GitHub](https://github.com/IAHispano/Applio)"
-        )
-    )
-    with gr.Tab(i18n("Inference")):
-        inference_tab()
-
-    with gr.Tab(i18n("Train")):
-        if gpu_available() or load_fake_gpu():
-            train_tab()
-        else:
-            gr.Markdown(
-                i18n(
-                    "Currently, training is unsupported due to the absence of a GPU. If you have a PC with a GPU and wish to train a model, please refer to our installation guide here: [Applio Installation Guide](https://docs.applio.org/get-started/installation/). For those without a GPU-enabled PC, explore alternative options here: [Applio Alternatives](https://docs.applio.org/get-started/alternatives/)."
-                )
-            )
-
-    with gr.Tab(i18n("TTS")):
-        tts_tab()
-
-#    with gr.Tab(i18n("Voice Blender")):
-#        voice_blender_tab()
-
-#    with gr.Tab(i18n("Plugins")):
-#        plugins_tab()
-
-    with gr.Tab(i18n("Download")):
-        download_tab()
-
-    with gr.Tab(i18n("Report a Bug")):
-        report_tab()
-
-    with gr.Tab(i18n("Extra")):
-        extra_tab()
-
-#    with gr.Tab(i18n("Settings")):
-#        presence_tab()
-#        flask_server_tab()
-#        if not gpu_available():
-#            fake_gpu_tab()
-#        theme_tab()
-#        version_tab()
-#        lang_tab()
-#        restart_tab()
-
-
-def launch_gradio():
-    Applio.launch()
-
 
-if __name__ == "__main__":
-    launch_gradio()
+        return output_path, f"Elaborazione completata. File salvato in {output_path}"
+
+    except Exception as e:
+        return None, f"Errore durante l'elaborazione: {str(e)}"
+
+# Creazione dell'interfaccia Gradio
+iface = gr.Interface(
+    fn=process_audio,
+    inputs=gr.Audio(type="filepath", label="Carica file audio (WAV o MP3)"),
+    outputs=[
+        gr.Audio(type="filepath", label="Audio elaborato"),
+        gr.Textbox(label="Messaggio")
+    ],
+    title="Elaborazione Audio con Applio",
+    description="Carica un file audio WAV o MP3 per elaborarlo con Applio."
+)
+
+# Avvio dell'interfaccia
+iface.launch()
+
+# import gradio as gr
+# import sys
+# import os
+# import logging
+
+# now_dir = os.getcwd()
+# sys.path.append(now_dir)
+
+# # Tabs
+# from tabs.inference.inference import inference_tab
+# from tabs.train.train import train_tab
+# from tabs.extra.extra import extra_tab
+# from tabs.report.report import report_tab
+# from tabs.download.download import download_tab
+# from tabs.tts.tts import tts_tab
+# from tabs.voice_blender.voice_blender import voice_blender_tab
+# from tabs.settings.presence import presence_tab, load_config_presence
+# from tabs.settings.flask_server import flask_server_tab
+# from tabs.settings.fake_gpu import fake_gpu_tab, gpu_available, load_fake_gpu
+# from tabs.settings.themes import theme_tab
+# from tabs.plugins.plugins import plugins_tab
+# from tabs.settings.version import version_tab
+# from tabs.settings.lang import lang_tab
+# from tabs.settings.restart import restart_tab
+
+# # Assets
+# import assets.themes.loadThemes as loadThemes
+# from assets.i18n.i18n import I18nAuto
+# import assets.installation_checker as installation_checker
+# from assets.discord_presence import RPCManager
+# from assets.flask.server import start_flask, load_config_flask
+# from core import run_prerequisites_script
+
+# run_prerequisites_script("False", "True", "True", "True")
+
+# i18n = I18nAuto()
+# if load_config_presence() == True:
+#     RPCManager.start_presence()
+# installation_checker.check_installation()
+# logging.getLogger("uvicorn").disabled = True
+# logging.getLogger("fairseq").disabled = True
+# if load_config_flask() == True:
+#     print("Starting Flask server")
+#     start_flask()
+
+# my_applio = loadThemes.load_json()
+# if my_applio:
+#     pass
+# else:
+#     my_applio = "ParityError/Interstellar"
+
+# with gr.Blocks(theme=my_applio, title="Applio") as Applio:
+#     gr.Markdown("# Applio")
+#     gr.Markdown(
+#         i18n(
+#             "Ultimate voice cloning tool, meticulously optimized for unrivaled power, modularity, and user-friendly experience."
+#         )
+#     )
+#     gr.Markdown(
+#         i18n(
+#             "[Support](https://discord.gg/IAHispano) — [Discord Bot](https://discord.com/oauth2/authorize?client_id=1144714449563955302&permissions=1376674695271&scope=bot%20applications.commands) — [Find Voices](https://applio.org/models) — [GitHub](https://github.com/IAHispano/Applio)"
+#         )
+#     )
+#     with gr.Tab(i18n("Inference")):
+#         inference_tab()
+
+#     with gr.Tab(i18n("Train")):
+#         if gpu_available() or load_fake_gpu():
+#             train_tab()
+#         else:
+#             gr.Markdown(
+#                 i18n(
+#                     "Currently, training is unsupported due to the absence of a GPU. If you have a PC with a GPU and wish to train a model, please refer to our installation guide here: [Applio Installation Guide](https://docs.applio.org/get-started/installation/). For those without a GPU-enabled PC, explore alternative options here: [Applio Alternatives](https://docs.applio.org/get-started/alternatives/)."
+#                 )
+#             )
+
+#     with gr.Tab(i18n("TTS")):
+#         tts_tab()
+
+# #    with gr.Tab(i18n("Voice Blender")):
+# #        voice_blender_tab()
+
+# #    with gr.Tab(i18n("Plugins")):
+# #        plugins_tab()
+
+#     with gr.Tab(i18n("Download")):
+#         download_tab()
+
+#     with gr.Tab(i18n("Report a Bug")):
+#         report_tab()
+
+#     with gr.Tab(i18n("Extra")):
+#         extra_tab()
+
+# #    with gr.Tab(i18n("Settings")):
+# #        presence_tab()
+# #        flask_server_tab()
+# #        if not gpu_available():
+# #            fake_gpu_tab()
+# #        theme_tab()
+# #        version_tab()
+# #        lang_tab()
+# #        restart_tab()
+
+
+# def launch_gradio():
+#     Applio.launch()
+
+
+# if __name__ == "__main__":
+#     launch_gradio()