First commit

README.md

@@ -1,6 +1,6 @@
 ---
-title: CoquiTTS
-emoji: 💩
+title: CoquiTTS (Official)
+emoji: 🐸
 colorFrom: green
 colorTo: red
 sdk: gradio
@@ -26,7 +26,7 @@ Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gr
 Can be either `gradio`, `streamlit`, or `static`
 
 `sdk_version` : _string_
-Only applicable for `streamlit` SDK.  
+Only applicable for `streamlit` SDK.
 See [doc](https://hf.co/docs/hub/spaces) for more info on supported versions.
 
 `app_file`: _string_

app.py

@@ -0,0 +1,105 @@
+import tempfile
+from typing import Optional
+from TTS.config import load_config
+import gradio as gr
+import numpy as np
+from TTS.utils.manage import ModelManager
+from TTS.utils.synthesizer import Synthesizer
+
+
+MODELS = {}
+SPEAKERS = {}
+
+
+manager = ModelManager()
+MODEL_NAMES = manager.list_tts_models()
+
+# reorder models
+ddc = MODEL_NAMES[1]
+MODEL_NAMES[1] = MODEL_NAMES[0]
+MODEL_NAMES[0] = ddc
+
+
+# filter out multi-speaker models
+filters = ["vctk", "your_tts"]
+MODEL_NAMES = [model_name for model_name in MODEL_NAMES if not any(f in model_name for f in filters)]
+print(MODEL_NAMES)
+
+
+def tts(text: str, model_name: str, speaker_idx: str=None):
+    print(text, model_name)
+    # download model
+    model_path, config_path, model_item = manager.download_model(f"tts_models/{model_name}")
+    vocoder_name: Optional[str] = model_item["default_vocoder"]
+    # download vocoder
+    vocoder_path = None
+    vocoder_config_path = None
+    if vocoder_name is not None:
+        vocoder_path, vocoder_config_path, _ = manager.download_model(vocoder_name)
+    # init synthesizer
+    synthesizer = Synthesizer(
+        model_path, config_path, None, None, vocoder_path, vocoder_config_path,
+    )
+    # synthesize
+    if synthesizer is None:
+        raise NameError("model not found")
+    wavs = synthesizer.tts(text, speaker_idx)
+    # return output
+    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
+        synthesizer.save_wav(wavs, fp)
+        return fp.name
+
+
+
+article= """
+### Visit us on <a href=https://coqui.ai>Coqui.ai</a> and drop a 🌟 to <a href=https://github.com/coqui-ai/TTS>CoquiTTS</a>.
+
+### You can run CoquiTTS on your machine. Check out our <a href="https://tts.readthedocs.io/en/latest/inference.html">documentation</a>.
+
+
+```bash
+$ pip install TTS
+...
+$ tts --list_models
+...
+$ tts --text "Text for TTS" --model_name "<type>/<language>/<dataset>/<model_name>" --out_path folder/to/save/output.wav
+```
+
+### 👑 Model contributors
+
+- <a href="https://github.com/nmstoker/">@nmstoker</a>
+- <a href="https://github.com/kaiidams/">@kaiidams</a>
+- <a href="https://github.com/WeberJulian/">@WeberJulian,</a>
+- <a href="https://github.com/Edresson/">@Edresson</a>
+- <a href="https://github.com/thorstenMueller/">@thorstenMueller</a>
+- <a href="https://github.com/r-dh/">@r-dh</a>
+- <a href="https://github.com/kirianguiller/">@kirianguiller</a>
+- <a href="https://github.com/robinhad/">@robinhad</a>
+
+Drop a ✨PR✨ on 🐸TTS to share a new model and have it included here.
+"""
+
+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,
+        ),
+        # gr.inputs.Dropdown(label="Select a speaker", choices=SPEAKERS, default=None)
+        # gr.inputs.Audio(source="microphone", label="Record your voice.", type="numpy", label=None, optional=False)
+    ],
+    outputs=gr.outputs.Audio(label="Output"),
+    title="🐸💬 CoquiTTS Demo",
+    theme="grass",
+    description="🐸💬  Coqui TTS - a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",
+    article=article,
+    allow_flagging=False,
+    flagging_options=['error', 'bad-quality', 'wrong-pronounciation'],
+    live=False
+)
+iface.launch(share=False)

packages.txt

@@ -0,0 +1 @@
+libsndfile1

requirments.txt

@@ -0,0 +1 @@
+TTS==0.5.0