人工智能2

作者：天景科技苑 | 2024-08-11 02:59:42

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人工智能第二版卢奇 pdf

一.图灵对话

jiehe.py

from aip import AipSpeech,AipNlp
import os, time, requests
""" 你的 APPID AK SK """
APP_ID = '15420917'
API_KEY = 'eP25XkG4vhdRQk7A6ZW3Zf2C'
SECRET_KEY = 'RxwrVkWUodowcBWcyLwS7DWI8B9XE4cH '

nlp = AipNlp(APP_ID, API_KEY, SECRET_KEY)   #nlp 自然语言进程,用作语言比对相似度
client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)

def get_file_content(filePath):
    os.system(f"ffmpeg -y  -i {filePath} -acodec pcm_s16le -f s16le -ac 1 -ar 16000 {filePath}.pcm")
    with open(f"{filePath}.pcm", 'rb') as fp:
        return fp.read()
def audio2text(filePath):
    res = client.asr(get_file_content(filePath), 'pcm', 16000, {
        'dev_pid': 1536,
    })
    print(res)
    return res.get("result")[0]
def text2audio(text):
    filename=f"{time.time()}.mp3"
    result = client.synthesis(text, 'zh', 1, {
        'vol': 5,

    })
    if not isinstance(result,dict):
        with open(filename,"wb") as f:
            f.write(result)
    return filename


def tul(text):
    args = {
        "reqType":0,
        "perception": {
            "inputText": {
                "text": text
            }
        },
        "userInfo": {
            "apiKey": "ebadba9c8a18497e90483f0a1ef5cf29",
            "userId": "1111"
        }
    }

    url = "http://openapi.tuling123.com/openapi/api/v2"
    res = requests.post(url,json=args)
    result = res.json().get("results")[0].get("values").get("text")
    return result






text = audio2text("bjtq.m4a")


if nlp.simnet("你叫什么名字",text).get("score"):  #进行比对
    test="我的名字叫银角大王8"
else:

    test=tul(text)
filename=text2audio(test)
os.system(filename)

二.在线对话

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>Title</title>
</head>
<body>
<audio controls autoplay id="player"></audio>
<p>
    <button οnclick="start_reco()" style="background-color: yellow">录制语音指令</button>
</p>
<p>
    <button οnclick="stop_reco_audio()" style="background-color: blue">发送语音指令</button>
</p>
</body>
<!--<script type="application/javascript" src="/static/Recorder.js"></script>-->
<script type="application/javascript" src="https://cdn.bootcss.com/recorderjs/0.1.0/recorder.js"></script>
<script type="text/javascript" src="/static/jQuery3.1.1.js"></script>

<script type="text/javascript">
    var reco = null;
    var audio_context = new AudioContext();
    navigator.getUserMedia = (navigator.getUserMedia ||
        navigator.webkitGetUserMedia ||
        navigator.mozGetUserMedia ||
        navigator.msGetUserMedia);

    navigator.getUserMedia({audio: true}, create_stream, function (err) {
        console.log(err)
    });

    function create_stream(user_media) {
        var stream_input = audio_context.createMediaStreamSource(user_media);
        reco = new Recorder(stream_input);
    }

    function start_reco() {
        reco.record();
    }


    function stop_reco_audio() {
        reco.stop();
        send_audio();
        reco.clear();
    }


    function send_audio() {
        reco.exportWAV(function (wav_file) {
            var formdata = new FormData();
            formdata.append("record", wav_file);
            console.log(formdata);
            $.ajax({
                url: "http://192.168.13.42:9527/ai",
                type: 'post',
                processData: false,
                contentType: false,
                data: formdata,
                dataType: 'json',
                success: function (data) {
                    document.getElementById("player").src ="http://192.168.13.42:9527/get_audio/" + data.filename
                }
            });

        })
    }



</script>
</html>

index.html

from flask import Flask,render_template,request,jsonify,send_file
from uuid import uuid4
import jiehe

app=Flask(__name__)

@app.route('/')
def index():
    return render_template("index1.html")

@app.route("/ai",methods=["POST"])
def ai():
    audio = request.files.get("record")
    print("audio",audio)
    filename=f'{uuid4()}.wav'
    audio.save(filename)

    q_text =jiehe.audio2text(filename)
    a_text =jiehe.tul(q_text)

    a_file=jiehe.text2audio(a_text)

    return jsonify({'filename':a_file})


@app.route('/get_audio/<filename>')
def get_audio(filename):
    return send_file(filename)



if __name__ == '__main__':
    app.run('0.0.0.0',9527,debug=True)

app.py

转载于:https://www.cnblogs.com/zhangqing979797/p/10274117.html

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人工智能2

一.图灵对话

二.在线对话