app.py

from flask import Flask, request, send_file
import subprocess
import os
import sys
from huggingface_hub import hf_hub_download

app = Flask(__name__)

# =========================
# Hàm chạy F5-TTS
# =========================
def run_f5_tts(ref_audio_path, ref_text, gen_text, model="F5TTS_Base", speed=1.2, vocoder_name="vocos"):
    current_dir = os.path.dirname(os.path.abspath(__file__))
    infer_cli_path = os.path.join(current_dir, "src", "f5_tts", "infer", "infer_cli.py")
    tests_dir = os.path.join(current_dir, "tests")

    # Dùng huggingface_hub để tải file model và vocab từ repo 'nguyensu27/TTS'
    vocab_file = hf_hub_download(repo_id="nguyensu27/TTS", filename="vocab.txt")
    ckpt_file = hf_hub_download(repo_id="nguyensu27/TTS", filename="model_last.pt")

    os.environ['PYTHONIOENCODING'] = 'utf-8'

    command = [
        sys.executable,
        infer_cli_path,
        "--model", model,
        "--ref_audio", ref_audio_path,
        "--ref_text", ref_text,
        "--gen_text", gen_text,
        "--speed", str(speed),
        "--vocoder_name", vocoder_name,
        "--vocab_file", vocab_file,
        "--ckpt_file", ckpt_file
    ]

    try:
        result = subprocess.run(
            command,
            check=True,
            capture_output=True,
            text=True,
            encoding='utf-8'
        )

        if os.path.exists(tests_dir):
            wav_files = [f for f in os.listdir(tests_dir) if f.endswith('.wav')]
            if wav_files:
                latest_wav = max(
                    wav_files, key=lambda x: os.path.getmtime(os.path.join(tests_dir, x))
                )
                output_file = os.path.join(tests_dir, latest_wav)
                return True, output_file

        return False, "Không tìm thấy file âm thanh trong thư mục tests"
    except subprocess.CalledProcessError as e:
        return False, e.stderr
    except Exception as e:
        return False, str(e)


# =========================
# Routes
# =========================
@app.route('/')
def home():
    return "F5-TTS API is running. Use POST /api/generate to generate audio."


@app.route('/api/generate', methods=['POST'])
def generate_speech():
    if 'ref_audio' not in request.files:
        return {"error": "Missing ref_audio"}, 400
    ref_audio = request.files['ref_audio']
    ref_text = request.form.get('ref_text', '')
    gen_text = request.form.get('gen_text', '')
    model = request.form.get('model', 'F5TTS_Base')
    speed = float(request.form.get('speed', 1.2))

    ref_audio_path = 'temp_ref.wav'
    ref_audio.save(ref_audio_path)

    success, result = run_f5_tts(ref_audio_path, ref_text, gen_text, model, speed)
    os.remove(ref_audio_path)

    if success:
        return send_file(result, mimetype='audio/wav')
    else:
        return {"error": result}, 500


# =========================
# Main
# =========================
if __name__ == "__main__":
    port = int(os.environ.get("PORT", 7860))
    app.run(host="0.0.0.0", port=port, debug=False)