Merge pull request #901 from coqui-ai/dev

v0.4.2

.github/workflows/zoo_tests.yml

@@ -0,0 +1,49 @@
+name: zoo-tests
+
+on:
+  push:
+    branches:
+      - main
+  pull_request:
+    types: [opened, synchronize, reopened]
+jobs:
+  check_skip:
+    runs-on: ubuntu-latest
+    if: "! contains(github.event.head_commit.message, '[ci skip]')"
+    steps:
+      - run: echo "${{ github.event.head_commit.message }}"
+
+  test:
+    runs-on: ubuntu-latest
+    strategy:
+      fail-fast: false
+      matrix:
+        python-version: [3.6, 3.7, 3.8, 3.9]
+        experimental: [false]
+    steps:
+      - uses: actions/checkout@v2
+      - uses: actions/cache@v1
+        with:
+          path: ~/.cache/pip
+          key: ${{ runner.os }}-pip-${{ matrix.python-version }}-${{ hashFiles('**/setup.py') }}
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v2
+        with:
+          python-version: ${{ matrix.python-version }}
+          architecture: x64
+      - name: check OS
+        run: cat /etc/os-release
+      - name: Install dependencies
+        run: |
+          sudo apt update
+          sudo apt install -y git make
+          sudo apt install -y python3-wheel gcc
+          make system-deps
+      - name: Upgrade pip
+        run: python3 -m pip install --upgrade pip
+      - name: Install TTS
+        run: |
+          python3 -m pip install .[all]
+          python3 setup.py egg_info
+      - name: Unit tests
+        run: make test_zoo

Makefile

@@ -23,6 +23,9 @@ test_aux:	## run aux tests.
 	nosetests tests.aux_tests -x --with-cov -cov  --cover-erase --cover-package TTS tests.aux_tests --nologcapture --with-id
 	./run_bash_tests.sh
 
+test_zoo:	## run zoo tests.
+	nosetests tests.zoo_tests -x --with-cov -cov  --cover-erase --cover-package TTS tests.zoo_tests --nologcapture --with-id
+
 test_failed:  ## only run tests failed the last time.
 	nosetests -x --with-cov -cov  --cover-erase --cover-package TTS tests --nologcapture --failed
 

TTS/VERSION

@@ -1 +1 @@
-0.4.1
+0.4.2

TTS/tts/models/vits.py

@@ -337,7 +337,7 @@ def init_multispeaker(self, config: Coqpit):
     def _init_speaker_embedding(self, config):
         # pylint: disable=attribute-defined-outside-init
         if config.speakers_file is not None:
-            self.speaker_manager = SpeakerManager(speaker_id_file_path=config.speakers_file_path)
+            self.speaker_manager = SpeakerManager(speaker_id_file_path=config.speakers_file)
 
         if self.num_speakers > 0:
             print(" > initialization of speaker-embedding layers.")

TTS/utils/manage.py

@@ -5,7 +5,6 @@
 from pathlib import Path
 from shutil import copyfile, rmtree
 
-import gdown
 import requests
 
 from TTS.config import load_config
@@ -30,7 +29,6 @@ def __init__(self, models_file=None, output_prefix=None):
             self.output_prefix = get_user_data_dir("tts")
         else:
             self.output_prefix = os.path.join(output_prefix, "tts")
-        self.url_prefix = "https://drive.google.com/uc?id="
         self.models_dict = None
         if models_file is not None:
             self.read_models_file(models_file)
@@ -92,8 +90,6 @@ def download_model(self, model_name):
 
         Args:
             model_name (str): model name as explained above.
-
-        TODO: support multi-speaker models
         """
         # fetch model info from the dict
         model_type, lang, dataset, model = model_name.split("/")
@@ -109,19 +105,8 @@ def download_model(self, model_name):
         else:
             os.makedirs(output_path, exist_ok=True)
             print(f" > Downloading model to {output_path}")
-            output_stats_path = os.path.join(output_path, "scale_stats.npy")
-
-            # download files to the output path
-            if self._check_dict_key(model_item, "github_rls_url"):
-                # download from github release
-                self._download_zip_file(model_item["github_rls_url"], output_path)
-            else:
-                # download from gdrive
-                self._download_gdrive_file(model_item["model_file"], output_model_path)
-                self._download_gdrive_file(model_item["config_file"], output_config_path)
-                if self._check_dict_key(model_item, "stats_file"):
-                    self._download_gdrive_file(model_item["stats_file"], output_stats_path)
-
+            # download from github release
+            self._download_zip_file(model_item["github_rls_url"], output_path)
         # update paths in the config.json
         self._update_paths(output_path, output_config_path)
         return output_model_path, output_config_path, model_item
@@ -168,10 +153,6 @@ def _update_path(field_name, new_path, config_path):
                 config[field_name] = new_path
             config.save_json(config_path)
 
-    def _download_gdrive_file(self, gdrive_idx, output):
-        """Download files from GDrive using their file ids"""
-        gdown.download(f"{self.url_prefix}{gdrive_idx}", output=output, quiet=False)
-
     @staticmethod
     def _download_zip_file(file_url, output_folder):
         """Download the github releases"""

tests/zoo_tests/test_models.py

@@ -0,0 +1,48 @@
+#!/usr/bin/env python3`
+import glob
+import os
+import shutil
+
+from tests import get_tests_output_path, run_cli
+from TTS.tts.utils.speakers import SpeakerManager
+from TTS.utils.generic_utils import get_user_data_dir
+from TTS.utils.manage import ModelManager
+
+
+def test_run_all_models():
+    """Check if all the models are downloadable and tts models run correctly."""
+    print(" > Run synthesizer with all the models.")
+    download_dir = get_user_data_dir("tts")
+    output_path = os.path.join(get_tests_output_path(), "output.wav")
+    manager = ModelManager(output_prefix=get_tests_output_path())
+    model_names = manager.list_models()
+    for model_name in model_names:
+        model_path, _, _ = manager.download_model(model_name)
+        if "tts_models" in model_name:
+            local_download_dir = os.path.dirname(model_path)
+            # download and run the model
+            speaker_files = glob.glob(local_download_dir + "/speaker*")
+            if len(speaker_files) > 0:
+                # multi-speaker model
+                if "speaker_ids" in speaker_files[0]:
+                    speaker_manager = SpeakerManager(speaker_id_file_path=speaker_files[0])
+                elif "speakers" in speaker_files[0]:
+                    speaker_manager = SpeakerManager(d_vectors_file_path=speaker_files[0])
+                speaker_id = list(speaker_manager.speaker_ids.keys())[0]
+                run_cli(
+                    f"tts --model_name  {model_name} "
+                    f'--text "This is an example." --out_path "{output_path}" --speaker_idx "{speaker_id}"'
+                )
+            else:
+                # single-speaker model
+                run_cli(f"tts --model_name  {model_name} " f'--text "This is an example." --out_path "{output_path}"')
+            # remove downloaded models
+            shutil.rmtree(download_dir)
+        else:
+            # only download the model
+            manager.download_model(model_name)
+        print(f" | > OK: {model_name}")
+
+    folders = glob.glob(os.path.join(manager.output_prefix, "*"))
+    assert len(folders) == len(model_names)
+    shutil.rmtree(manager.output_prefix)