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app (1).py

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+import tempfile
+from typing import Optional
+
+import gradio as gr
+import numpy as np
+
+from TTS.utils.manage import ModelManager
+from TTS.utils.synthesizer import Synthesizer
+
+MODEL_NAMES = [
+    # "en/ek1/tacotron2",
+    "en/ljspeech/tacotron2-DDC",
+    # "en/ljspeech/tacotron2-DDC_ph",
+    # "en/ljspeech/glow-tts",
+    # "en/ljspeech/tacotron2-DCA",
+    # "en/ljspeech/speedy-speech-wn",
+    # "en/ljspeech/vits",
+    # "en/vctk/sc-glow-tts",
+    # "en/vctk/vits",
+    # "en/sam/tacotron-DDC",
+    # "es/mai/tacotron2-DDC",
+    "fr/mai/tacotron2-DDC",
+    "zh-CN/baker/tacotron2-DDC-GST",
+    "nl/mai/tacotron2-DDC",
+    "de/thorsten/tacotron2-DCA",
+    # "ja/kokoro/tacotron2-DDC",
+]
+MODELS = {}
+
+manager = ModelManager()
+
+for MODEL_NAME in MODEL_NAMES:
+    print(f"downloading {MODEL_NAME}")
+    model_path, config_path, model_item = manager.download_model(f"tts_models/{MODEL_NAME}")
+    vocoder_name: Optional[str] = model_item["default_vocoder"]
+    vocoder_path = None
+    vocoder_config_path = None
+    if vocoder_name is not None:
+        vocoder_path, vocoder_config_path, _ = manager.download_model(vocoder_name)
+
+    synthesizer = Synthesizer(
+        model_path, config_path, None, vocoder_path, vocoder_config_path,
+    )
+    MODELS[MODEL_NAME] = synthesizer
+
+
+def tts(text: str, model_name: str):
+    print(text, model_name)
+    synthesizer = MODELS.get(model_name, None)
+    if synthesizer is None:
+        raise NameError("model not found")
+    wavs = synthesizer.tts(text)
+    # output = (synthesizer.output_sample_rate, np.array(wavs))
+    # return output
+    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
+        synthesizer.save_wav(wavs, fp)
+        return fp.name
+
+
+
+iface = gr.Interface(
+    fn=tts,
+    inputs=[
+        gr.inputs.Textbox(
+            label="Input",
+            default="Hello, how are you?",
+        ),
+        gr.inputs.Radio(
+            label="Pick a TTS Model",
+            choices=MODEL_NAMES,
+        ),
+    ],
+    outputs=gr.outputs.Audio(label="Output"),
+    title="🐸💬 - Coqui TTS",
+    description="🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production",
+    article="more info at https://github.com/coqui-ai/TTS",
+)iface.launch(share=True)  # Muestra el botón de la API

packages.txt

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+libsndfile1-dev

requirements.txt

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+TTS==0.2.1
+Werkzeug==2.0.3