Flask框架中文网
建议在开发环境和生产环境下都使用虚拟环境来管理项目的依赖。虚拟环境可以为每一个项目安装独立的 Python 库，这样就可以隔离不同项目之间的 Python 库，也可以隔离项目与操作系统之间的 Python 库。
如果你使用Python 3版本，可以按以下方式配置虚拟环境和Flask环境。
创建虚拟环境创建一个项目文件夹 cd 文件夹路径 mkdir myproject cd myproject python3 -m venv venv pip3 install virtualenv
如果此时提醒诸如WARNING: You are using pip version 22.0.4; however, version 22.1.2 is available.就按照提示升级PHP版本。
在Windows下
py -3 -m venv venv Python27Scriptsvirtualenv.exe venv pip3 install Flask激活虚拟环境
. venv/bin/activate
在Windows下
> venvScriptsactivate安装Flask
在已激活的虚拟环境中可以使用如下命令安装 Flask：
pip install FlaskSQLite
前往SQLite下载或SQLite中文下载载预编译的二进制文件。Windows系统请下载
基于您的电脑选择适用于32位或64位的文件。
创建文件夹 C:sqlite，并在此文件夹下解压上面两个压缩文件，将得到以下文件：
添加 C:sqlite 到 PATH 环境变量
运行sqlite3
百度语音识别
login.html
登录
FLASK实现五子棋逻辑判断
judgement.py
import json
from flask import request, jsonify
from BlackChess import BlackChess
from WhiteChess import WhiteChess
from Subject import Subject
def judge(i, j):
result = json.loads(request.form.get('data'))
# result = request.form.get('data')
checkBox = result.get('checkBox')
value = checkBox[i][j]
winner = 0
# flag = result.get('flag')
flag = False
for x in range(j - 4, j + 5):
if x >= 0 and x + 4 < 15:
if checkBox[i][x] == value and checkBox[i][x + 1] == value and checkBox[i][x + 2] == value and checkBox[i][
x + 3] == value and checkBox[i][x + 4] == value:
flag = True
break
pass
for x in range(i - 4, i + 5): # 纵向有没有出现5连（在边缘依次逐一遍历，是否五个棋子的类型一样）
if x >= 0 and x + 4 < 15:
if checkBox[x][j] == value and
checkBox[x + 1][j] == value and
checkBox[x + 2][j] == value and
checkBox[x + 3][j] == value and
checkBox[x + 4][j] == value:
flag = True
break
pass
# 先判断右斜方向的对角下输赢 x 列轴， y是行轴 ， i 是行 j 是列（右斜向）（在边缘依次逐一遍历，是否五个棋子的类型一样）
for x, y in zip(range(j + 4, j - 5, -1), range(i - 4, i + 5)):
if x >= 0 and x + 4 < 15 and y + 4 >= 0 and y < 15:
if checkBox[y][x] == value and
checkBox[y - 1][x + 1] == value and
checkBox[y - 2][x + 2] == value and
checkBox[y - 3][x + 3] == value and
checkBox[y - 4][x + 4] == value:
flag = True
# 2、判断左斜对角下输赢 x 列轴， y是行轴 ， i 是行 j 是列（左斜向）（在边缘依次逐一遍历，是否五个棋子的类型一样）
for x, y in zip(range(j - 4, j + 5), range(i - 4, i + 5)):
if x >= 0 and x + 4 < 15 and y >= 0 and y + 4 < 15:
if checkBox[y][x] == value and
checkBox[y + 1][x + 1] == value and
checkBox[y + 2][x + 2] == value and
checkBox[y + 3][x + 3] == value and
checkBox[y + 4][x + 4] == value:
flag = True
if flag:
subject = Subject()
black_chess = BlackChess(x, y, subject)
white_chess = WhiteChess(x, y, subject)
if value == 2:
winner = 1
subject.setWiner(white_chess)
else:
winner = 2
subject.setWiner(black_chess)
return winner
语音控制功能
AudioLocation.py
import wave
import pyaudio
import requests
import time
import base64
from pyaudio import paInt16
framerate = 16000 # 采样率
num_samples = 2000 # 采样点
channels = 1 # 声道
sampwidth = 2 # 采样宽度2bytes
FILEPATH = 'speech.wav'
HOST = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=这里写百度语音识别的API Key&client_secret=这里写百度语音识别的Secret Key'
response = requests.get(HOST)
if response:
print(response.json())
def getToken(host):
res = requests.post(host)
print(res.json())
return res.json()['access_token']
def save_wave_file(filepath, data):
wf = wave.open(filepath, 'wb')
wf.setnchannels(channels)
wf.setsampwidth(sampwidth)
wf.setframerate(framerate)
wf.writeframes(b''.join(data))
wf.close()
def my_record():
pa = pyaudio.PyAudio()
stream = pa.open(format=paInt16, channels=channels,
rate=framerate, input=True, frames_per_buffer=num_samples)
my_buf = []
# count = 0
t = time.time()
print('正在录音...')
while time.time() < t + 4: # 秒
string_audio_data = stream.read(num_samples)
my_buf.append(string_audio_data)
print('录音结束.')
save_wave_file(FILEPATH, my_buf)
stream.close()
def get_audio(file):
with open(file, 'rb') as f:
data = f.read()
# print(data)
return data
def speech2text(speech_data, token, dev_pid=1537):
FORMAT = 'wav'
RATE = '16000'
CHANNEL = 1
CUID = 'DC-71-96-C9-44-E6'
SPEECH = base64.b64encode(speech_data).decode('utf-8')
data = {
'format': FORMAT,
'rate': RATE,
'channel': CHANNEL,
'cuid': CUID,
'len': len(speech_data),
'speech': SPEECH,
'token': token,
'dev_pid': dev_pid
}
url = 'http://vop.baidu.com/server_api'
headers = {'Content-Type': 'application/json'}
# r=requests.post(url,data=json.dumps(data),headers=headers)
print('正在识别...')
r = requests.post(url, json=data, headers=headers)
Result = r.json()
if 'result' in Result:
return Result['result'][0]
else:
return Result
def getLocation():
my_record()
TOKEN = getToken(HOST)
speech = get_audio(FILEPATH)
result = speech2text(speech, TOKEN, int(1537))
print(result)
return result
源码
源码见：基于Python Flask框架、SQLite的语音识别五子棋web小游戏
