flask_api_full_song.py

import numpy as np
import soundfile
from flask import Flask, request, send_file, jsonify

from inference import infer_tool, slicer

import requests
import os
import uuid
import threading
from qcloud_cos import CosConfig
from qcloud_cos import CosS3Client

tasks = {}
running_threads = 0
condition = threading.Condition()

def infer(audio_path, tran, spk, wav_format, task_id):
    global running_threads
    with condition:
        while running_threads >= 1:
            tasks[task_id] = {"status": "queue"}
            condition.wait()
        running_threads += 1
    tasks[task_id] = {"status": "processing"}
    try:
        audio_name = audio_path.split('/')[-1]
        infer_tool.format_wav(audio_path)
        chunks = slicer.cut(audio_path, db_thresh=-40)
        audio_data, audio_sr = slicer.chunks2audio(audio_path, chunks)

        audio = []
        for (slice_tag, data) in audio_data:
            print(f'#=====segment start, {round(len(data) / audio_sr, 3)}s======')

            length = int(np.ceil(len(data) / audio_sr * svc_model.target_sample))
            if slice_tag:
                print('jump empty segment')
                _audio = np.zeros(length)
            else:
                # padd
                pad_len = int(audio_sr * 0.5)
                data = np.concatenate([np.zeros([pad_len]), data, np.zeros([pad_len])])
                raw_path = io.BytesIO()
                soundfile.write(raw_path, data, audio_sr, format="wav")
                raw_path.seek(0)
                out_audio, out_sr = svc_model.infer(spk, tran, raw_path)
                svc_model.clear_empty()
                _audio = out_audio.cpu().numpy()
                pad_len = int(svc_model.target_sample * 0.5)
                _audio = _audio[pad_len:-pad_len]

            audio.extend(list(infer_tool.pad_array(_audio, length)))
        out_wav_path = "/tmp/" + audio_name
        soundfile.write(out_wav_path, audio, svc_model.target_sample, format=wav_format)
        out_wav_path.seek(0)
    
        # 提供文件的永久直链
        result_audio_url = f"/download/{os.path.basename(out_wav_path)}"

        # 更新任务状态
        tasks[task_id] = {
            "status": "completed",
            "url": result_audio_url,
        }
    except Exception as e:
        tasks[task_id] = {
            "status": "error",
            "message": str(e)
        }
    with condition:
            running_threads -= 1
            condition.notify_all()

app = Flask(__name__)


@app.route("/wav2wav", methods=["GET"])
def wav2wav():
    task_id = str(uuid.uuid4())
    tasks[task_id] = {"status": "processing"}
    audio_result = requests.get(request.args.get('audio_path'))
    if audio_result.status_code != 200:
        raise Exception("无效的 URL")
    with open("/tmp/" + request.args.get("audio_path", "").split('/')[-1], 'wb') as f:
        f.write(audio_result.content)
    audio_path = "/tmp/" + request.args.get("audio_path", "").split('/')[-1]  # wav文件地址
    tran = int(float(request.args.get("tran", 0)))  # 音调
    spk = request.args.get("spk", 0)  # 说话人(id或者name都可以,具体看你的config)
    wav_format = request.args.get("wav_format", 'wav')  # 范围文件格式
    threading.Thread(target=infer, args=(audio_path, tran, spk, wav_format, task_id)).start()
    return jsonify({"task_id": task_id}), 202

@app.route('/api/tasks/<task_id>', methods=['GET'])
def get_task_status(task_id):
    task = tasks.get(task_id)
    if task:
        return jsonify(task)
    else:
        return jsonify({"error": "Task not found"}), 404

@app.route('/download/<filename>', methods=['GET'])
def download(filename):
    return send_file("/tmp/" + filename, as_attachment=True)


if __name__ == '__main__':
    secret_id = os.getenv('SECRET_ID')
    secret_key = os.getenv('SECRET_KEY')
    region = 'na-siliconvalley'
    bucket_name = 'xiaohei-cat-ai-1304646510'

    config = CosConfig(Region=region, SecretId=secret_id, SecretKey=secret_key)
    client = CosS3Client(config)

    response1 = client.get_object(
        Bucket=bucket_name,
        Key="models/So-VITS-SVC/Koxia-Full/G_full.pth"
    )

    with open("/tmp/G_full.pth", 'wb') as local_file:
        for chunk in response1['Body'].iter_chunks():
            local_file.write(chunk)

    response2 = client.get_object(
        Bucket=bucket_name,
        Key="models/So-VITS-SVC/Koxia-Full/config.json"
    )

    with open("/tmp/config.json", 'wb') as local_file:
        for chunk in response2['Body'].iter_chunks():
            local_file.write(chunk)
    
    model_name = "/tmp/G_full.pth"  # 模型地址
    config_name = "/tmp/config.json"  # config地址
    svc_model = infer_tool.Svc(model_name, config_name)
    app.run(port=1145, host="0.0.0.0", debug=False, threaded=False)