From ca647cf222b071483145e2e2504350780a3e9173 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Eren=20G=C3=B6lge?= <erogol@hotmail.com>
Date: Fri, 22 Jan 2021 02:35:43 +0100
Subject: [PATCH] Model Manager to download released models

---
 TTS/utils/manage.py | 103 ++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 103 insertions(+)
 create mode 100644 TTS/utils/manage.py

diff --git a/TTS/utils/manage.py b/TTS/utils/manage.py
new file mode 100644
index 00000000..68bc92d2
--- /dev/null
+++ b/TTS/utils/manage.py
@@ -0,0 +1,103 @@
+import json
+import gdown
+from pathlib import Path
+import os
+
+from TTS.utils.io import load_config
+
+
+class ModelManager(object):
+    """Manage TTS models defined in .models.json.
+    It provides an interface to list and download
+    models defines in '.model.json'
+
+    Models are downloaded under '.TTS' folder in the user's
+    home path.
+
+    Args:
+        models_file (str): path to .model.json
+    """
+    def __init__(self, models_file):
+        super().__init__()
+        self.output_prefix = os.path.join(str(Path.home()), '.tts')
+        self.url_prefix = "https://drive.google.com/uc?id="
+        self.models_dict = None
+        self.read_models_file(models_file)
+
+    def read_models_file(self, file_path):
+        """Read .models.json as a dict
+
+        Args:
+            file_path (str): path to .models.json.
+        """
+        with open(file_path) as json_file:
+            self.models_dict = json.load(json_file)
+
+    def list_langs(self):
+        print(" Name format: type/language")
+        for model_type in self.models_dict:
+            for lang in self.models_dict[model_type]:
+                print(f" >: {model_type}/{lang} ")
+
+    def list_datasets(self):
+        print(" Name format: type/language/dataset")
+        for model_type in self.models_dict:
+            for lang in self.models_dict[model_type]:
+                for dataset in self.models_dict[model_type][lang]:
+                    print(f" >: {model_type}/{lang}/{dataset}")
+
+    def list_models(self):
+        print(" Name format: type/language/dataset/model")
+        for model_type in self.models_dict:
+            for lang in self.models_dict[model_type]:
+                for dataset in self.models_dict[model_type][lang]:
+                   for model in self.models_dict[model_type][lang][dataset]:
+                        print(f" >: {model_type}/{lang}/{dataset}/{model} ")
+
+    def download_model(self, model_name):
+        """Download model files given the full model name.
+        Model name is in the format
+            'type/language/dataset/model'
+            e.g. 'tts_model/en/ljspeech/tacotron'
+
+        Args:
+            model_name (str): model name as explained above.
+
+        TODO: support multi-speaker models
+        """
+        # fetch model info from the dict
+        type, lang, dataset, model = model_name.split("/")
+        model_full_name = f"{type}--{lang}--{dataset}--{model}"
+        model_item = self.models_dict[type][lang][dataset][model]
+        # set the model specific output path
+        output_path = os.path.join(self.output_prefix, model_full_name)
+        output_model_path = os.path.join(output_path, "model_file.pth.tar")
+        output_config_path = os.path.join(output_path, "config.json")
+        if os.path.exists(output_path):
+            print(f" > {model_name} is already downloaded.")
+        else:
+            os.makedirs(output_path, exist_ok=True)
+            print(f" > Downloading model to {output_path}")
+            output_stats_path = None
+            # download files to the output path
+            self._download_file(model_item['model_file'], output_model_path)
+            self._download_file(model_item['config_file'], output_config_path)
+            if model_item['stats_file'] is not None and len(model_item['stats_file']) > 1:
+                output_stats_path = os.path.join(output_path, 'scale_stats.npy')
+                self._download_file(model_item['stats_file'], output_stats_path)
+                # set scale stats path in config.json
+                config_path = output_config_path
+                config = load_config(config_path)
+                config["audio"]['stats_path'] = output_stats_path
+                with open(config_path, "w") as jf:
+                    json.dump(config, jf)
+        return output_model_path, output_config_path
+
+    def _download_file(self, id, output):
+        gdown.download(f"{self.url_prefix}{id}", output=output)
+
+
+
+
+
+