deploy tts

app.py

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+import tempfile
+from typing import Optional
+import gradio as gr
+import numpy as np
+from TTS.config import load_config
+from TTS.utils.manage import ModelManager
+from TTS.utils.synthesizer import Synthesizer
+
+MAX_TXT_LEN = 100
+manager = ModelManager()
+model_name="DigitalUmuganda/Kinyarwanda_YourTTS"
+def generate_audio(text):
+    if len(text) > MAX_TXT_LEN:
+        text = text[:MAX_TXT_LEN]
+        print(f"Input text was cutoff since it went over the {MAX_TXT_LEN} character limit.")
+    model_path, config_path, model_item = manager.download_model(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, None, vocoder_path, vocoder_config_path,
+    )
+    if synthesizer is None:
+        raise NameError("model not found")
+    wavs = synthesizer.tts(text)
+
+    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
+        synthesizer.save_wav(wavs, fp)
+        return fp.name
+
+iface = gr.Interface(
+    fn=generate_audio,
+    inputs=[
+        gr.inputs.Textbox(
+            label="Input Text",
+            default="This sentence has been generated by a speech synthesis system.",
+        ),
+    ],
+    outputs=gr.outputs.Audio(label="Output"),
+    title="Kinyarwanda tts Demo",
+    description="Kinyarwanda tts build with ",
+    allow_flagging=False,
+    flagging_options=['error', 'bad-quality', 'wrong-pronounciation'],
+    layout="vertical",
+    live=False
+)
+iface.launch(share=False)

packages.txt

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+libsndfile1
+espeak-ng

requirements.txt

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+git+https://github.com/coqui-ai/TTS@0910cb76bcd85df56bf43654bb31427647cdfd0d#egg=TTS