Initial commit.

.gitignore

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+venv/
+.idea/

README.md

@@ -1,8 +1,8 @@
 ---
-title: Mandarin Tts
-emoji: 💻
-colorFrom: indigo
-colorTo: pink
+title: Mandarin Text-to-Speech
+emoji: 🦜
+colorFrom: pink
+colorTo: green
 sdk: gradio
 app_file: app.py
 pinned: false

app.py

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+import gradio as gr
+import numpy as np
+from TTS.utils.manage import ModelManager
+from TTS.utils.synthesizer import Synthesizer
+
+
+title = "Mandarin Text-to-Speech (TTS)"
+description = "Generate mandarin speech from text using a Tachotron2 model with Coqui TTS 🐸, " \
+              "a deep learning toolkit for Text-to-Speech."
+article = "<p style='text-align: center'><a href='https://github.com/eugenesiow/practical-ml'>Github</a></p>"
+examples = [
+    ["语音合成是通过机械的、电子的方法产生人造语音的技术。"],
+    ["李显龙总理表示，我国要达到像意大利的开放程度，几乎回到冠病疫情前的生活，还需要一段时间。"]
+]
+
+
+manager = ModelManager()
+model_path, config_path, model_item = manager.download_model("tts_models/zh-CN/baker/tacotron2-DDC-GST")
+synthesizer = Synthesizer(
+    model_path, config_path, None, None, None,
+)
+
+
+def inference(text: str):
+    print(text)
+    wavs = synthesizer.tts(text)
+    output = (synthesizer.output_sample_rate, np.array(wavs))
+    return output
+
+
+gr.Interface(
+    fn=inference,
+    inputs=[
+        gr.inputs.Textbox(
+            label="Input",
+            default="你好吗？我很好。",
+        ),
+    ],
+    outputs=gr.outputs.Audio(label="Output"),
+    title=title,
+    description=description,
+    article=article,
+    examples=examples,
+    enable_queue=True,
+    allow_flagging=False,
+    ).launch(debug=False)