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.gitattributes

@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+examples/Margaux_2.wav filter=lfs diff=lfs merge=lfs -text
+examples/Margaux_3.wav filter=lfs diff=lfs merge=lfs -text
+examples/Margaux_4.wav filter=lfs diff=lfs merge=lfs -text
+examples/Margaux_5.wav filter=lfs diff=lfs merge=lfs -text

ENVIRONMENT

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+
+##########################################################################
+#
+# PINOKIO_SHARE_CLOUDFLARE
+# Set this variable to share the app publicly via cloudflare tunnel.
+#
+##########################################################################
+PINOKIO_SHARE_CLOUDFLARE=false
+
+##########################################################################
+#
+# PINOKIO_SHARE_PASSCODE
+#
+# By default, your publicly shared app will be 100% open to anyone
+# with the link via Cloudflare.
+#
+# You can add authorization by protecting it with a passcode.
+# Set this value, and any access to the app will require a pass code input
+#
+##########################################################################
+PINOKIO_SHARE_PASSCODE=
+
+##########################################################################
+#
+# PINOKIO_SCRIPT_DEFAULT
+# If this variable is false, 'default': true menu items in pinokio.js
+# will NOT automatically run
+#
+##########################################################################
+PINOKIO_SCRIPT_DEFAULT=true
+
+##########################################################################
+#
+# GRADIO_TEMP_DIR
+# All the files uploaded through gradio goes here.
+#
+# Delete this line to store the files under PINOKIO_HOME/cache/GRADIO_TEMPDIR
+# or change the path if you want to use a different path
+#
+##########################################################################
+GRADIO_TEMP_DIR=./cache/GRADIO_TEMP_DIR
+
+##########################################################################
+#
+# HF_HOME
+#
+# Huggingface cache
+# All the model files automatically downloaded through libraries like
+# diffusers, transformers, etc. will be stored under this path
+#
+# You can save disk space by deleting this line, which will store all
+# huggingface files under PINOKIO_HOME/cache/HF_HOME without redundancy.
+#
+##########################################################################
+HF_HOME=./cache/HF_HOME
+
+##########################################################################
+#
+# TORCH_HOME
+#
+# Torch hub cache
+# All the files automatically downloaded by pytorch will be stored here
+#
+# You can save disk space by deleting this line, which will store all
+# torch hub files under PINOKIO_HOME/cache/TORCH_HOME without redundancy.
+#
+##########################################################################
+TORCH_HOME=./cache/TORCH_HOME
+
+##########################################################################
+#
+# PINOKIO_SHARE_LOCAL
+# Set this variable to true to share the app on the local network.
+#
+##########################################################################
+PINOKIO_SHARE_LOCAL=false
+
+##########################################################################
+#
+# PINOKIO_SHARE_LOCAL_PORT
+# Set this variable to use fixed port for the local network sharing feature
+# If not specified, a random port will be assigned to the local proxy used
+# for local sharing.
+#
+##########################################################################
+PINOKIO_SHARE_LOCAL_PORT=

app.py

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+import gradio as gr
+from TTS.api import TTS
+import os
+import time
+import torch
+from torch.serialization import add_safe_globals
+from TTS.tts.configs.xtts_config import XttsConfig
+
+# Ajouter XttsConfig comme "safe global" pour éviter les erreurs de désérialisation
+add_safe_globals([XttsConfig])
+
+# Charger le modèle XTTS
+tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2", gpu=False)
+
+# Créer le dossier de sortie
+output_folder = "output_audio"
+os.makedirs(output_folder, exist_ok=True)
+
+def predict(prompt, speaker, agree, subfolder_name, file_name):
+    if not agree:
+        raise gr.Error("Veuillez accepter les conditions d'utilisation.")
+    
+    # Utiliser le nom fourni pour le sous-dossier ou en générer un par défaut
+    subfolder_name = subfolder_name.strip() or f"session_{int(time.time())}"
+    session_folder = os.path.join(output_folder, subfolder_name)
+    os.makedirs(session_folder, exist_ok=True)
+
+    # Utiliser le nom fourni pour le fichier ou un nom par défaut
+    file_name = file_name.strip() or "output.wav"
+    if not file_name.endswith(".wav"):
+        file_name += ".wav"
+    
+    output_path = os.path.join(session_folder, file_name)
+
+    # Charger tous les fichiers WAV du speaker sélectionné
+    speaker_wav_paths = [os.path.join("examples", f) for f in os.listdir("examples") if f.startswith(speaker) and f.endswith(".wav")]
+
+    if not speaker_wav_paths:
+        raise gr.Error(f"Aucun fichier audio trouvé pour le speaker : {speaker}")
+
+    # Synthèse vocale
+    tts.tts_to_file(
+        text=prompt,
+        file_path=output_path,
+        speaker_wav=speaker_wav_paths,  # Liste de fichiers .wav
+        language="fr",
+        split_sentences=False  # Désactiver si le texte est court
+    )
+
+    # Générer une forme d'onde à partir de l'audio
+    waveform = gr.make_waveform(audio=output_path)
+
+    return 100, waveform, output_path
+
+# Interface utilisateur
+custom_css = """
+.gradio-container {
+    font-family: 'Arial', sans-serif;
+    background-color: #f0f4f8;
+}
+.gr-form {
+    background-color: white;
+    border-radius: 10px;
+    padding: 20px;
+    box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
+}
+.gr-button {
+    background-color: #4a90e2;
+    border: none;
+}
+.gr-button:hover {
+    background-color: #3a7bc8;
+}
+"""
+
+title = "Synthèse Vocale XTTS 🎙️"
+
+description = """
+<h3>Bienvenue sur notre outil de synthèse vocale XTTS !</h3>
+<p>Cet outil vous permet de générer une voix naturelle à partir d'un texte en français. 
+Choisissez une voix, entrez votre texte, et écoutez le résultat !</p>
+"""
+
+article = """
+<div style='margin:20px auto; text-align: center;'>
+<p>En utilisant cette démo, vous acceptez les conditions d'utilisation du modèle Coqui Public disponibles sur 
+<a href='https://coqui.ai/cpml' target='_blank'>https://coqui.ai/cpml</a></p>
+</div>
+"""
+
+# Générer la liste des speakers à partir des fichiers WAV dans le dossier examples
+available_speakers = list(set([f.split('_')[0] for f in os.listdir("examples") if f.endswith(".wav")]))
+
+with gr.Blocks(css=custom_css) as demo:
+    gr.Markdown(f"<h1 style='text-align: center;'>{title}</h1>")
+    gr.Markdown(description)
+    
+    with gr.Row():
+        with gr.Column(scale=2):
+            prompt = gr.Textbox(
+                label="Texte pour la synthèse vocale",
+                info="Une ou deux phrases à la fois sont préférables* (max : 10)",
+                placeholder="Bonjour ! Comment allez-vous aujourd'hui ?",
+                lines=10
+            )
+        with gr.Column(scale=1):
+            speaker = gr.Dropdown(
+                label="Voix",
+                choices=available_speakers,
+                value=available_speakers[0] if available_speakers else None
+            )
+            agree = gr.Checkbox(
+                label="J'accepte les conditions d'utilisation",
+                value=True
+            )
+            subfolder_name = gr.Textbox(
+                label="Nom du sous-dossier (facultatif)",
+                placeholder="Nom du sous-dossier pour stocker l'audio"
+            )
+            file_name = gr.Textbox(
+                label="Nom du fichier (facultatif)",
+                placeholder="Nom du fichier audio généré"
+            )
+    
+    generate_btn = gr.Button("Générer la voix", variant="primary")
+    
+    progress = gr.Progress()
+    
+    with gr.Row():
+        audio_output = gr.Audio(label="Audio généré")
+        waveform_output = gr.Video(label="Forme d'onde")
+    
+    generate_btn.click(
+        predict,
+        inputs=[prompt, speaker, agree, subfolder_name, file_name],
+        outputs=[progress, waveform_output, audio_output]
+    )
+    
+    gr.Markdown(article)
+
+demo.launch(debug=True)

examples/Margaux_2.wav

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+size 2359340

examples/Margaux_3.wav

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+size 1645100

examples/Margaux_4.wav

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+size 1776428

examples/Margaux_5.wav

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e71da4c85c5762a4c2e9033ef628d1e45ab32fa7ce9f267d1b1ed299a70bc898
+size 1702700

install.json

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+{
+  "requires": [
+    { "type": "conda", "name": "ffmpeg", "args": "-c conda-forge" },
+    { "platform": "darwin", "name": "brew" },
+    { "platform": "darwin", "type": "brew", "name": "mecab" }
+  ],
+  "run": [
+    {
+      "method": "shell.run",
+      "params": {
+        "message": "{{os.platform() === 'win32' ? '' : 'brew install mecab'}}"
+      }
+    },
+    {
+      "method": "shell.run",
+      "params": {
+        "message": "{{os.platform() === 'win32' ? 'python' : 'python3'}} -m venv env"
+      }
+    },
+    {
+      "method": "shell.start",
+      "params": {
+        "env": {
+          "HF_HOME": "./huggingface"
+        }
+      }
+    },
+    {
+      "method": "shell.enter",
+      "params": {
+        "message": "{{os.platform() === 'win32' ? 'env\\\\Scripts\\\\activate env' : 'source env/bin/activate env'}}",
+        "on": [
+          {
+            "event": null,
+            "return": true
+          }
+        ]
+      }
+    },
+    {
+      "method": "shell.enter",
+      "params": {
+        "message": "npx --yes torchcraft@0.0.14",
+        "on": [
+          {
+            "event": null,
+            "return": true
+          }
+        ]
+      }
+    },
+    {
+      "method": "shell.enter",
+      "params": {
+        "message": "pip install -r torchcraft.txt",
+        "on": [
+          {
+            "event": null,
+            "return": true
+          }
+        ]
+      }
+    },
+    {
+      "method": "shell.enter",
+      "params": {
+        "message": "pip install gradio==3.50.2",
+        "on": [
+          {
+            "event": null,
+            "return": true
+          }
+        ]
+      }
+    },
+    {
+      "method": "shell.enter",
+      "params": {
+        "message": "pip install -r requirements.txt",
+        "on": [
+          {
+            "event": null,
+            "return": true
+          }
+        ]
+      }
+    },
+    {
+      "method": "input",
+      "params": {
+        "title": "Install Success",
+        "description": "Go back to the dashboard and launch the app!"
+      }
+    },
+    {
+      "method": "browser.open",
+      "params": {
+        "uri": "/?selected=XTTS"
+      }
+    }
+  ]
+}

pinokio.js

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+const os = require('os')
+const fs = require('fs')
+const path = require("path")
+const exists = (filepath) => {
+  return new Promise(r=>fs.access(filepath, fs.constants.F_OK, e => r(!e)))
+}
+module.exports = {
+  title: "XTTS",
+  description: "clone voices into different languages by using just a quick 3-second audio clip. (a local version of https://huggingface.co/spaces/coqui/xtts)",
+  icon: "icon.png",
+  menu: async (kernel) => {
+    let installed = await exists(path.resolve(__dirname, "env"))
+    if (installed) {
+      let session = (await kernel.loader.load(path.resolve(__dirname, "session.json"))).resolved
+      return [{
+        when: "start.json",
+        on: "<i class='fa-solid fa-spin fa-circle-notch'></i> Running",
+        type: "label",
+        href: "start.json"
+      }, {
+        when: "start.json",
+        off: "<i class='fa-solid fa-power-off'></i> Launch",
+        href: "start.json?fullscreen=true&run=true",
+      }, {
+        when: "start.json",
+        on: (session && session.url ? "<i class='fa-solid fa-rocket'></i> Open Web UI" : null),
+        href: (session && session.url ? session.url : null),
+        target: "_blank"
+      }, {
+        when: "start.json",
+        on: "<i class='fa-solid fa-desktop'></i> Server",
+        href: "start.json?fullscreen=true"
+      }]
+    } else {
+      return [{
+        html: '<i class="fa-solid fa-plug"></i> Install',
+        type: "link",
+        href: "install.json?run=true&fullscreen=true"
+      }]
+    }
+  }
+}

pinokio_meta.json

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+{
+  "posts": [
+    "https://x.com/cocktailpeanut/status/1702759980263162098"
+  ]
+}

requirements.txt

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+# Bibliothèque TTS
+git+https://github.com/cocktailpeanut/TTS#egg=TTS
+
+# PyTorch (compatible CPU et GPU)
+torch>=2.1
+torchaudio>=2.1
+
+# Librairies scientifiques
+numpy==1.22.0;python_version<="3.10"
+numpy>=1.24.3;python_version>"3.10"
+scipy>=1.11.2
+librosa>=0.10.0
+soundfile>=0.12.0
+scikit-learn>=1.3.0
+
+# Accélération des calculs
+numba==0.55.1;python_version<"3.9"
+numba>=0.57.0;python_version>="3.9"
+
+# Gestion des langues et NLP
+unidecode>=1.3.2
+num2words
+transformers>=4.33.0
+spacy[ja]>=3
+jieba
+pypinyin
+hangul_romanize
+jamo
+nltk
+g2pkk>=0.1.1
+
+# Gradio pour l'interface utilisateur
+gradio>=3.4
+
+# Configuration et gestion des fichiers
+fsspec>=2023.6.0
+pyyaml>=6.0
+packaging>=23.1
+aiohttp>=3.8.1
+
+# Visualisation et notebooks
+matplotlib>=3.7.0
+pandas>=1.4,<2.0
+umap-learn>=0.5.1
+
+# Frameworks supplémentaires (Bark et Tortoise)
+encodec>=0.1.1
+einops>=0.6.0
+
+# Coqui Stack
+trainer>=0.0.36
+coqpit>=0.0.16
+
+# Autres dépendances
+tqdm>=4.64.1
+flask>=2.0.1
+mutagen==1.47.0
+inflect>=5.6.0
+anyascii>=0.3.0
+
+# Support pour le bangla
+bangla
+bnnumerizer
+bnunicodenormalizer

start.json

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+{
+  "run": [
+    {
+      "method": "shell.start",
+      "params": {
+        "env": {
+          "HF_HOME": "./huggingface",
+          "ALLOW_FILE_UPLOAD": "True",
+          "COQUI_TOS_AGREED": "1"
+        }
+      }
+    },
+    {
+      "method": "shell.enter",
+      "params": {
+        "message": "{{os.platform() === 'win32' ? 'env\\\\Scripts\\\\activate env' : 'source env/bin/activate env'}}",
+        "on": [
+          {
+            "event": null,
+            "return": true
+          }
+        ]
+      }
+    },
+    {
+      "method": "shell.enter",
+      "params": {
+        "message": "python app.py",
+        "on": [
+          {
+            "event": "/(http://[0-9.:]+)/",
+            "return": "{{event.matches[0][1]}}"
+          }
+        ]
+      }
+    },
+    {
+      "method": "self.set",
+      "params": {
+        "session.json": {
+          "url": "{{input}}"
+        }
+      }
+    },
+    {
+      "method": "browser.open",
+      "params": {
+        "uri": "{{self.session.url}}",
+        "target": "_blank"
+      }
+    },
+    {
+      "method": "process.wait"
+    }
+  ]
+}