Make xtts runnable by version names

TTS/api.py

@@ -80,6 +80,8 @@ def __init__(
                 self.load_tts_model_by_name(model_name, gpu)
             elif "voice_conversion_models" in model_name:
                 self.load_vc_model_by_name(model_name, gpu)
+            else:
+                self.load_model_by_name(model_name, gpu)
 
         if model_path:
             self.load_tts_model_by_path(
@@ -149,6 +151,15 @@ def download_model_by_name(self, model_name: str):
         vocoder_path, vocoder_config_path, _ = self.manager.download_model(model_item["default_vocoder"])
         return model_path, config_path, vocoder_path, vocoder_config_path, None
 
+    def load_model_by_name(self, model_name: str, gpu: bool = False):
+        """Load one of the 🐸TTS models by name.
+
+        Args:
+            model_name (str): Model name to load. You can list models by ```tts.models```.
+            gpu (bool, optional): Enable/disable GPU. Some models might be too slow on CPU. Defaults to False.
+        """
+        self.load_tts_model_by_name(model_name, gpu)
+
     def load_vc_model_by_name(self, model_name: str, gpu: bool = False):
         """Load one of the voice conversion models by name.
 

TTS/utils/manage.py

@@ -1,5 +1,6 @@
 import json
 import os
+import re
 import tarfile
 import zipfile
 from pathlib import Path
@@ -276,13 +277,15 @@ def set_model_url(model_item: Dict):
             model_item["model_url"] = model_item["hf_url"]
         elif "fairseq" in model_item["model_name"]:
             model_item["model_url"] = "https://coqui.gateway.scarf.sh/fairseq/"
+        elif "xtts" in model_item["model_name"]:
+            model_item["model_url"] = "https://coqui.gateway.scarf.sh/xtts/"
         return model_item
 
     def _set_model_item(self, model_name):
         # fetch model info from the dict
-        model_type, lang, dataset, model = model_name.split("/")
-        model_full_name = f"{model_type}--{lang}--{dataset}--{model}"
         if "fairseq" in model_name:
+            model_type = "tts_models"
+            lang = model_name.split("/")[1]
             model_item = {
                 "model_type": "tts_models",
                 "license": "CC BY-NC 4.0",
@@ -291,10 +294,38 @@ def _set_model_item(self, model_name):
                 "description": "this model is released by Meta under Fairseq repo. Visit https://github.com/facebookresearch/fairseq/tree/main/examples/mms for more info.",
             }
             model_item["model_name"] = model_name
+        elif "xtts" in model_name and len(model_name.split("/")) != 4:
+            # loading xtts models with only model name (e.g. xtts_v2.0.2)
+            # check model name has the version number with regex
+            version_regex = r"v\d+\.\d+\.\d+"
+            if re.search(version_regex, model_name):
+                model_version = model_name.split("_")[-1]
+            else:
+                model_version = "main"
+            model_type = "tts_models"
+            lang = "multilingual"
+            dataset = "multi-dataset"
+            model = model_name
+            model_item = {
+                "default_vocoder": None,
+                "license": "CPML",
+                "contact": "info@coqui.ai",
+                "tos_required": True,
+                "hf_url": [
+                    f"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/{model_version}/model.pth",
+                    f"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/{model_version}/config.json",
+                    f"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/{model_version}/vocab.json",
+                    f"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/{model_version}/hash.md5"
+                ],
+            }
+            print(model_item)
         else:
             # get model from models.json
+            model_type, lang, dataset, model = model_name.split("/")
             model_item = self.models_dict[model_type][lang][dataset][model]
             model_item["model_type"] = model_type
+
+        model_full_name = f"{model_type}--{lang}--{dataset}--{model}"
         md5hash = model_item["model_hash"] if "model_hash" in model_item else None
         model_item = self.set_model_url(model_item)
         return model_item, model_full_name, model, md5hash