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app.py
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app.py
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from flask import Flask, render_template, request, jsonify,redirect, url_for
from werkzeug.utils import secure_filename
import requests
import random
import json
import os
import time
import xlrd
from flask_cors import CORS
from requests_toolbelt import MultipartEncoder
app = Flask(__name__)
#CORS(app, supports_credentials=True) #For跨域请求
#app.config['SEND_FILE_MAX_AGE_DEFAULT'] = timedelta(seconds=1) #缓存控制时长
# 语音识别api
ASR_URL = 'https://voice.lenovomm.com/lasf/asr'
def send(ixid, pidx, over, session, voice):
files = {'voice-data': voice}
data = {
'param-data': 'cpf=windows&dtp=iO2S&ver=1.1.9&did=270931c188c281ca&uid=6922073&'
'dev=lenovo.ecs.vt&app=com.lenovo.menu_assistant&stm=1494237601458&'
'ssm=true&vdm=all&rvr=&sce=long&ntt=wifi&aue=speex-wb;7&'
'auf=audio%2FL16%3Brate%3D16000&ixid=' + str(ixid) + '&pidx=' + str(pidx) + '&over=' + str(over)
}
header = {
'lenovokey': 'LENOVO-VOICE-4a817ca65xb7fa574yf252',
'secretkey': 'BBDAB59701C1CEA201968DFB7E3DAAD7',
'channel': 'cloudasr'
}
response = session.post(ASR_URL, headers=header, data=data, files=files, verify=False, timeout=30)
print(response.text)
return response
# 根据语音识别内容 选择图片
def filter(text):
word_list=["天空","阳光","云","海","草","花","山","楼","车","路"]
result=[1 if i in text else 0 for i in word_list]
keyWords = result
book = xlrd.open_workbook("./static/image/test.xlsx")
sheet1 = book.sheet_by_index(0) # 打开索引号为0的表
scores = {}
lists = []
# 读取图片权重分值
for i in range(sheet1.nrows):
row = sheet1.row_values(i) # 逐行读取
scores[row[0]] = [row[1:11]]
# 计算加权平均数
for name in scores:
total = 0
for x in scores[name]:
for i in range(len(x)):
total += x[i]*keyWords[i]
lists.append([name,total])
# 排序
def takeSecond(elem):
return elem[1]
lists.sort(key = takeSecond, reverse = True)
tem = lists[0]
name = tem[0]
name_num = name[-2:]
name_num_int = int(name_num)
nameNum = name_num_int*10 + random.randint(0,3)
fileName = './static/image/'+'image' + str (nameNum) + '.jpg'
return fileName
@app.route('/')
def home():
return render_template('index.html')
@app.route('/receiveAudio', methods=['POST'])
def receiveAudio():
session = requests.session()
ixid = int(round(time.time() * 1000))
pidx = 1
file = request.files['file'].read()
txt = send(ixid, pidx, 1, session, file).json().get("rawText","") #识别的语音内容
imgUrl = filter(txt) #对应的图片
return imgUrl
if __name__ == '__main__':
app.run(debug=True)