init

README.md

@@ -1,7 +1,7 @@
 ---
-title: Tts
+title: TTS
 emoji: 🏃
-colorFrom: green
+colorFrom: blue
 colorTo: purple
 sdk: gradio
 sdk_version: 4.38.1

app.py

@@ -0,0 +1,44 @@
+import wave
+import numpy as np
+from io import BytesIO
+from flask import Flask, request, send_file
+from flask_cors import CORS
+from huggingface_hub import hf_hub_download
+from piper import PiperVoice
+
+app = Flask(__name__)
+CORS(app)
+
+def synthesize_speech(text, sentence_silence, length_scale):
+    model_path = hf_hub_download(repo_id="csukuangfj/vits-piper-en_US-lessac-medium", filename="en_US-lessac-medium.onnx")
+    config_path = hf_hub_download(repo_id="csukuangfj/vits-piper-en_US-lessac-medium", filename="en_US-lessac-medium.onnx.json")
+
+    voice = PiperVoice.load(model_path, config_path)
+
+    buffer = BytesIO()
+    with wave.open(buffer, 'wb') as wav_file:
+        wav_file.setframerate(voice.config.sample_rate)
+        wav_file.setsampwidth(2)
+        wav_file.setnchannels(1)
+        voice.synthesize(text, wav_file, sentence_silence=sentence_silence, length_scale=length_scale)
+
+    buffer.seek(0)
+    return buffer
+
+@app.route('/')
+def index():
+    return "Server is running"
+
+@app.route('/tts', methods=['POST'])
+def tts():
+    data = request.json
+    text = data.get('text', '')
+    sentence_silence = float(data.get('sentence_silence', 0.1))
+    length_scale = float(data.get('length_scale', 1.0))
+
+    audio_buffer = synthesize_speech(text, sentence_silence, length_scale)
+
+    return send_file(audio_buffer, mimetype="audio/wav", as_attachment=True, download_name="output.wav")
+
+if __name__ == '__main__':
+    app.run(host='0.0.0.0', port=5000)

requirements.txt

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+numpy==1.26.4
+piper-tts==1.1.0
+flask
+Flask-Cors