使用腾讯ai搭建人机交互play

# -*- coding: utf-8 -*-
# coded by 伊玛目的门徒
import hashlib
import time
import random
import string
from urllib.parse import quote
import pandas as pd
import requests

import os
import pyaudio
import wave
import base64
import time

app_key = '************'
audio = pyaudio.PyAudio()

FORMAT = pyaudio.paInt16
CHANNELS = 2
RATE = 8000#44100
CHUNK = 1024
RECORD_SECONDS = 3

def curlmd5(src):
    m = hashlib.md5(src.encode('UTF-8'))
    # 将得到的MD5值所有字符转换成大写
    return m.hexdigest().upper()

def get_params(plus_item):
    # 请求时间戳（秒级），用于防止请求重放（保证签名5分钟有效）
    t = time.time()
    time_stamp=str(int(t))
    # 请求随机字符串，用于保证签名不可预测
    nonce_str = ''.join(random.sample(string.ascii_letters + string.digits, 10))
    # 应用标志，这里修改成自己的id和key
    app_id = '*************'
    app_key = '************'
    params = {'app_id':app_id,
              'question':plus_item,
              'time_stamp':time_stamp,
              'nonce_str':nonce_str,
              'session':'10000'
             }
    sign_before = ''
    # 要对key排序再拼接
    for key in sorted(params):
        # 键值拼接过程value部分需要URL编码，URL编码算法用大写字母，例如%E8。quote默认大写。
        sign_before += '{}={}&'.format(key,quote(params[key], safe=''))
    # 将应用密钥以app_key为键名，拼接到字符串sign_before末尾
    sign_before += 'app_key={}'.format(app_key)
    # 对字符串sign_before进行MD5运算，得到接口请求签名
    sign = curlmd5(sign_before)
    params['sign'] = sign
    return params





def record():




    # start Recording
    stream = audio.open(format=FORMAT, channels=CHANNELS,
                    rate=RATE, input=True,
                    frames_per_buffer=CHUNK)
    print("listening...")
    frames = []
    for i in range(0, int(RATE / CHUNK * RECORD_SECONDS)):
        data = stream.read(CHUNK)
        frames.append(data)
    # stop Recording
    stream.stop_stream()
    stream.close()

    voice = b''.join(frames)
    b64voice = base64.b64encode(voice)

    url_asr = 'https://api.ai.qq.com/fcgi-bin/aai/aai_asr'
    nonce_str = ''.join(random.sample(string.ascii_letters + string.digits, 16))
    data = {
        'app_id':  '************8',
        'time_stamp': str(int(time.time())),
        'nonce_str': nonce_str,
        'format': '1',
        'speech': b64voice.decode()

    }
    sign_before = ''

    for key in sorted(data):
        # 键值拼接过程value部分需要URL编码，URL编码算法用大写字母，例如%E8。quote默认大写。
        sign_before += '{}={}&'.format(key,quote(data[key], safe=''))
        #    将应用密钥以app_key为键名，拼接到字符串sign_before末尾
    sign_before += 'app_key={}'.format(app_key)
    # 对字符串sign_before进行MD5运算，得到接口请求签名
    #print (sign_before)
    sign = curlmd5(sign_before)
    data['sign'] = sign

    #print (data['sign'])


    r = requests.post(url_asr, data=data)
    #print (r.text)
    question = r.json()['data']['text']
    return question


def get_content(plus_item):
    # 聊天的API地址
    url = "https://api.ai.qq.com/fcgi-bin/nlp/nlp_textchat"
    # 获取请求参数
    plus_item = plus_item.encode('utf-8')
    #调用md5加密后的电子签名
    payload = get_params(plus_item)
    # r = requests.get(url,params=payload)
    r = requests.post(url,data=payload)
    return r.json()["data"]["answer"]



# In[385]:


def playsound(voice):
    stream = audio.open(
        format = FORMAT,
        channels = CHANNELS,
        rate = RATE,
        output = True)
    stream.write(voice)
    stream.close()


# In[386]:


def speak(text):
    text = text[:50]

    app_id = '************'
    app_key = '*************'
    url_speak = 'https://api.ai.qq.com/fcgi-bin/aai/aai_tts'
    nonce_str = ''.join(random.sample(string.ascii_letters + string.digits, 16))
    data = {
        'app_id': app_id,
        'time_stamp': str(int(time.time())),
        'nonce_str': nonce_str,
        'text': text,
        'speaker': '6',
        'format': '2',
        'volume': '0',
        'speed': '100',
        'aht': '0',
        'apc': '58',
    }

    sign_before = ''

    for key in sorted(data):
        # 键值拼接过程value部分需要URL编码，URL编码算法用大写字母，例如%E8。quote默认大写。
        sign_before += '{}={}&'.format(key,quote(data[key], safe=''))
        #    将应用密钥以app_key为键名，拼接到字符串sign_before末尾
    sign_before += 'app_key={}'.format(app_key)
    # 对字符串sign_before进行MD5运算，得到接口请求签名
    #print (sign_before)
    sign = curlmd5(sign_before)
    data['sign'] = sign


    r = requests.post(url_speak, data=data)
    voice = r.json()['data']['speech']
    voice = base64.b64decode(voice)
    playsound(voice)

df=pd.DataFrame({'And':[......],
                'Or':['0',[......],
                 'result':[......]

})

#print (df)


def judge_index(content):
    for  a in df['And']:

        if str(a) in content:
            pp=df[(df.And==a)].index.values
            pp=pp.tolist()
            #print(pp[0])
            t=pp[0]
            #print  (type(df.ix[t,'Or']))
            for item in df.ix[t,'Or']:
                if item in content:
                    #print (t)
                    return (t)


        else:
            pass
    return -1

def judge(content):
    f=judge_index(content)

    if  f>-1:

        return f
    else:
        return  False






if __name__ == '__main__':
    while True:
        question = record()
        print(question)
        if '结束'in question:
            break
        if judge(question):

            answer = df.ix[judge(question),'result']
        else:
            answer = get_content(question)
        print(answer)
        speak(answer)
结果展示：https://www.bilibili.com/video/av30723860/
使用腾讯ai搭建人机交互play

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