Commit 4c764fe4 authored by W.D.R.P. Sandeepa's avatar W.D.R.P. Sandeepa

Merge branch 'it18218640' into 'master'

It18218640

See merge request !175
parents 28cba3bb 2baa12cb
# import MySQLdb
<<<<<<< HEAD
from flask import Flask, render_template, request, jsonify, make_response
from API.model.color.colorModel import save_color_session_details, sendPredictData
from API.model.readModel import save_activity_details, save_session_details
from API.model.userModel import getUser, saveUserSession, logoutUser
from API.model.color.colorModel import get_color_activities1, get_color_activities2, get_color_activity_result, storeResult
=======
from flask import Flask, redirect, url_for, render_template, request, jsonify, make_response
import random
import os
......@@ -9,6 +16,7 @@ from API.model.userModel import *
from API.model.colorModel import get_color_activities1, get_color_activities2, get_color_activity_result, storeResult
from API.model.readModel import get_reading_activities
from API.routers.router import funtion_one
>>>>>>> 6ba28c5f30fd429a3ed34216b55a685d5b3615f0
# from backend.IT18218640.keyword_spotting_service import Keyword_Spotting_service
......@@ -57,59 +65,19 @@ def predict():
try:
data = request.get_json()
fileitem = data['uri']
audioFile = data['uri']
name = data['name']
colorName = data['colorNmae']
# print((f"{colorName}"))
# if fileitem.filename:
# # strip the leading path from the file name
fn = os.path.basename(fileitem)
#
# # open read and write the file into the server
# open(fn, 'wb').write(fileitem.file.read())
response = sendPredictData(audioFile, name)
resp = make_response(request.get_json())
resp.headers['Access-Control-Allow-Origin'] = '*'
resp.headers['Content-Type'] = 'application/json'
return resp
return response
except ValueError:
print(ValueError)
# get audio file and save it
# audio_file = request.files["file"]
# audio_file = request.files["name"]
# print((f"{request.data}"))
# print((f"{request.form}"))
# print((f"{request.values}"))
# print((f"{request.json}"))
# print(f"{request.form['name']}")
# file_name = str(random.randint(0, 100000))
# audio_file.save((file_name))
#
# # get file name
# predict_file_name = audio_file.filename
# predict_file_name = predict_file_name.split("/")
# new_predict_file_name = predict_file_name[1]
# new_predict_file_name = new_predict_file_name.split(".")
# FPFN = new_predict_file_name[0]
# # print(f"{FPFN}")
#
# # invoke keyword spotting service
# kss = Keyword_Spotting_service()
#
#
# # make a prediction
# predicted_keyword = kss.predict(file_name, FPFN)
#
# # remove the audio file
# os.remove(file_name)
#
# # send back the predicted keword in json format
# data = {"Keyword" : predicted_keyword}
# return jsonify("print")
# return "Print"
@app.route("/colorSession", methods=['POST'])
......
......@@ -141,7 +141,7 @@ def insert(sql_query, args):
db = create_con()
cursor = db.cursor()
try:
cursor.execute(sql_query, args)
# cursor.execute(sql_query, args)
db.commit()
db.close()
return 1
......
from flask import jsonify
import os
import random
from flask import jsonify, Flask, request
from API.db.dbConnection import get_all_data, insert_data_json, insert_data, insert, get_data
from API.model.color.keyword_spotting_service import Keyword_Spotting_service
from API.util.util import getUUID
# get color activity 1 fun
......@@ -86,4 +89,43 @@ def save_color_session_details(userId, status):
qry = 'INSERT INTO colorsession (id,userId,token,status) VALUES (NULL, %s, %s, %s)'
args = (userId, token, status)
insert(qry, args)
return token
\ No newline at end of file
return token
#predict audio file
def sendPredictData(audioFile, name):
# print(f"{name}")
# path = "test/green.wav"
# print(f"{path}")
# audio_file = open(path, "rb")
# values = {
# "file": (path, audio_file, "audio/wav")
# }
# audio_file = values["file"]
# file_name = str(random.randint(0, 100000))
# audio_file.save((file_name))
# print(f"{path}")
# get file name
# predict_file_name = audio_file.filename
new_predict_file_name = name.split(".")
FPFN = new_predict_file_name[0]
# invoke keyword spotting service
kss = Keyword_Spotting_service()
# make a prediction
# predicted_keyword = kss.predict(file_name, FPFN)
# remove the audio file
# os.remove(file_name)
# send back the predicted keyword in json format
data = {"Predicted Keyword": FPFN}
print(f"data: {data}")
return jsonify(data)
\ No newline at end of file
import tensorflow.keras as keras
import numpy as np
import librosa
MODEL_PATH = "model.h5"
NUM_SAMPLES_TO_CONSIDER = 22050 # 1 sec
class _Keyword_Spotting_Service:
model = None
_mappings = [
"black",
"blue",
"green",
"red",
"white",
"yellow"
]
_instance = None
# 78293
def predict(self, file_path, FPFN):
print(f"{file_path}")
# extract MFCCs
MFCCs = self.preprocess(file_path) # (# segment, # coefficients)
# convert 2d MFCCs array into 4d array -> (# samples, # segment, # coefficients, # channels)
MFCCs = MFCCs[np.newaxis, ..., np.newaxis]
# make prediction
predictions = self.model.predict(MFCCs)
predicted_index = np.argmax(predictions)
predicted_keyword = self._mappings[predicted_index]
# return predicted_keyword
if predicted_keyword == FPFN:
return predicted_keyword
else:
return "No Prediction"
def preprocess(self, file_path, n_mfcc=13, n_fft=2048, hop_length=512):
# load audio file
signal, sr = librosa.load(file_path)
# ensure consistency in the audio file length
if len(signal) > NUM_SAMPLES_TO_CONSIDER:
signal = signal[:NUM_SAMPLES_TO_CONSIDER]
# extract MFCCs
MFCCs = librosa.feature.mfcc(signal, n_mfcc=n_mfcc, n_fft=n_fft, hop_length=hop_length)
return MFCCs.T
def Keyword_Spotting_service():
# ensure that we only have 1 instance of KSS
if _Keyword_Spotting_Service._instance is None:
_Keyword_Spotting_Service._instance = _Keyword_Spotting_Service()
_Keyword_Spotting_Service.model = keras.models.load_model(MODEL_PATH)
return _Keyword_Spotting_Service._instance
if __name__ == "__main__":
kss = Keyword_Spotting_service()
keyword1 = kss.predict("test/black.wav")
keyword2 = kss.predict("test/blue.wav")
keyword3 = kss.predict("test/green.wav")
keyword4 = kss.predict("test/red.wav")
keyword5 = kss.predict("test/white.wav")
keyword6 = kss.predict("test/yellow.wav")
keyword7 = kss.predict("test/other.wav")
print(f"Predicted Keywords: {keyword1}")
print(f"Predicted Keywords: {keyword2}")
print(f"Predicted Keywords: {keyword3}")
print(f"Predicted Keywords: {keyword4}")
print(f"Predicted Keywords: {keyword5}")
print(f"Predicted Keywords: {keyword6}")
print(f"Predicted Keywords: {keyword7}")
\ No newline at end of file
......@@ -9,6 +9,7 @@ import CountDown from 'react-native-countdown-component';
import client from "../client/Client";
import Voice from '@react-native-voice/voice';
import Tts from 'react-native-tts';
import AudioRecord from 'react-native-audio-record';
import AsyncStorage from '@react-native-async-storage/async-storage';
import BackButton from "../../component/BackButton"
......@@ -28,6 +29,8 @@ export default function Black() {
StatusBar.setHidden(true);
audioInit();
const unsubscribe = navigation.addListener("focus", () => {
Orientation.unlockAllOrientations();
......@@ -51,6 +54,76 @@ export default function Black() {
};
}, []);
function audioInit() {
// console.log('audioInit');
const colorAudio = {
sampleRate: 16000,
channels: 1,
bitsPerSample: 16,
wavFile: 'color.wav', // thise wave file name
};
AudioRecord.init(colorAudio);
}
async function audioStart() {
// console.log('audioStart');
// checkPermission();
AudioRecord.start();
setTimeout(() => {
audioStop();
}, 2000);
}
async function audioStop() {
// console.log('audioStop');
let audioFile = await AudioRecord.stop();
// console.log('userFile', audioFile);
sendAudio(audioFile);
}
function sendAudio(audioFile) {
var obj = {
uri: `file:${audioFile}`,
type: 'audio/wav',
name: secondColor[2]+'.wav',
}
var data = JSON.stringify(obj)
// console.log(data);
client.post("predict", data, {
headers: {
Accept: 'application/json',
'Content-Type': 'application/json',
},
})
.then((response) => {
// setNames(response.data);
console.log('Success part : ', response.data);
})
.catch(function (error) {
if (error.response) {
console.log('Error data : ', error.response.data);
console.log('Error status : ', error.response.status);
console.log('Error headers : ', error.response.headers);
} else if (error.request) {
console.log('Error request : ', error.request);
} else {
console.log('Error message : ', error.message);
}
console.log('Error else part : ', error.config);
});
}
const onSpeechStartHandler = e => {
// console.log('start handler =>> ', e);
};
......@@ -75,12 +148,7 @@ export default function Black() {
sendData(mainColor[2])
// showAlert = () => {
// this.setState({
// showAlert: true
// });
// };
audioStart();
} else {
......
......@@ -8,6 +8,7 @@ import { secondColor } from '../../assets/color/color';
import CountDown from 'react-native-countdown-component';
import client from "../client/Client";
import Voice from '@react-native-voice/voice';
import AudioRecord from 'react-native-audio-record';
import Tts from 'react-native-tts';
import BackButton from "../../component/BackButton"
import AsyncStorage from '@react-native-async-storage/async-storage';
......@@ -26,6 +27,8 @@ export default function Blue2() {
Voice.destroy().then(Voice.removeAllListeners);
StatusBar.setHidden(true);
audioInit();
const unsubscribe = navigation.addListener("focus", () => {
Orientation.unlockAllOrientations();
......@@ -49,6 +52,76 @@ export default function Blue2() {
};
}, []);
function audioInit() {
// console.log('audioInit');
const colorAudio = {
sampleRate: 16000,
channels: 1,
bitsPerSample: 16,
wavFile: 'color.wav', // thise wave file name
};
AudioRecord.init(colorAudio);
}
async function audioStart() {
// console.log('audioStart');
// checkPermission();
AudioRecord.start();
setTimeout(() => {
audioStop();
}, 2000);
}
async function audioStop() {
// console.log('audioStop');
let audioFile = await AudioRecord.stop();
// console.log('userFile', audioFile);
sendAudio(audioFile);
}
function sendAudio(audioFile) {
var obj = {
uri: `file:${audioFile}`,
type: 'audio/wav',
name: secondColor[4]+'.wav',
}
var data = JSON.stringify(obj)
// console.log(data);
client.post("predict", data, {
headers: {
Accept: 'application/json',
'Content-Type': 'application/json',
},
})
.then((response) => {
// setNames(response.data);
console.log('Success part : ', response.data);
})
.catch(function (error) {
if (error.response) {
console.log('Error data : ', error.response.data);
console.log('Error status : ', error.response.status);
console.log('Error headers : ', error.response.headers);
} else if (error.request) {
console.log('Error request : ', error.request);
} else {
console.log('Error message : ', error.message);
}
console.log('Error else part : ', error.config);
});
}
const onSpeechStartHandler = e => {
// console.log('start handler =>> ', e);
};
......@@ -73,11 +146,7 @@ export default function Blue2() {
sendData(mainColor[4]);
showAlert = () => {
this.setState({
showAlert: true
});
};
audioStart();
} else {
......
......@@ -9,8 +9,7 @@ import { secondColor } from '../../assets/color/color';
import client from "../client/Client";
import Voice from '@react-native-voice/voice';
import AsyncStorage from '@react-native-async-storage/async-storage';
import AudioRecord from 'react-native-audio-record';
import BackButton from "../../component/BackButton"
......@@ -29,6 +28,8 @@ export default function Green({ navigation }) {
StatusBar.setHidden(true);
audioInit();
const unsubscribe = navigation.addListener("focus", () => {
Orientation.unlockAllOrientations();
......@@ -50,6 +51,77 @@ export default function Green({ navigation }) {
};
}, []);
function audioInit() {
// console.log('audioInit');
const colorAudio = {
sampleRate: 16000,
channels: 1,
bitsPerSample: 16,
wavFile: 'color.wav', // thise wave file name
};
AudioRecord.init(colorAudio);
}
async function audioStart() {
// console.log('audioStart');
// checkPermission();
AudioRecord.start();
setTimeout(() => {
audioStop();
}, 2000);
}
async function audioStop() {
// console.log('audioStop');
let audioFile = await AudioRecord.stop();
// console.log('userFile', audioFile);
sendAudio(audioFile);
}
function sendAudio(audioFile) {
var obj = {
uri: `file:${audioFile}`,
type: 'audio/wav',
name: secondColor[1]+'.wav',
}
var data = JSON.stringify(obj)
// console.log(data);
client.post("predict", data, {
headers: {
Accept: 'application/json',
'Content-Type': 'application/json',
},
})
.then((response) => {
// setNames(response.data);
console.log('Success part : ', response.data);
})
.catch(function (error) {
if (error.response) {
console.log('Error data : ', error.response.data);
console.log('Error status : ', error.response.status);
console.log('Error headers : ', error.response.headers);
} else if (error.request) {
console.log('Error request : ', error.request);
} else {
console.log('Error message : ', error.message);
}
console.log('Error else part : ', error.config);
});
}
const onSpeechStartHandler = e => {
// console.log('start handler =>> ', e);
};
......@@ -70,17 +142,11 @@ export default function Green({ navigation }) {
if (value.includes(secondColor[1]) == true) {
const value = e.value;
console.log('Your Answer is Correct');
sendData(mainColor[1])
// showAlert = () => {
// this.setState({
// showAlert: true
// });
// };
audioStart();
} else {
......
......@@ -7,7 +7,9 @@ import axios from "axios";
import { secondColor } from '../../assets/color/color';
import CountDown from 'react-native-countdown-component';
import client from "../client/Client";
import Tts from 'react-native-tts';
import Voice from '@react-native-voice/voice';
import AudioRecord from 'react-native-audio-record';
import BackButton from "../../component/BackButton"
import AsyncStorage from '@react-native-async-storage/async-storage';
......@@ -26,6 +28,10 @@ export default function Red({ navigation }) {
StatusBar.setHidden(true);
audioInit();
const unsubscribe = navigation.addListener("focus", () => {
Orientation.unlockAllOrientations();
......@@ -48,6 +54,76 @@ export default function Red({ navigation }) {
};
}, []);
function audioInit() {
// console.log('audioInit');
const colorAudio = {
sampleRate: 16000,
channels: 1,
bitsPerSample: 16,
wavFile: 'color.wav', // thise wave file name
};
AudioRecord.init(colorAudio);
}
async function audioStart() {
// console.log('audioStart');
// checkPermission();
AudioRecord.start();
setTimeout(() => {
audioStop();
}, 2000);
}
async function audioStop() {
// console.log('audioStop');
let audioFile = await AudioRecord.stop();
// console.log('userFile', audioFile);
sendAudio(audioFile);
}
function sendAudio(audioFile) {
var obj = {
uri: `file:${audioFile}`,
type: 'audio/wav',
name: secondColor[0]+'.wav',
}
var data = JSON.stringify(obj)
// console.log(data);
client.post("predict", data, {
headers: {
Accept: 'application/json',
'Content-Type': 'application/json',
},
})
.then((response) => {
// setNames(response.data);
console.log('Success part : ', response.data);
})
.catch(function (error) {
if (error.response) {
console.log('Error data : ', error.response.data);
console.log('Error status : ', error.response.status);
console.log('Error headers : ', error.response.headers);
} else if (error.request) {
console.log('Error request : ', error.request);
} else {
console.log('Error message : ', error.message);
}
console.log('Error else part : ', error.config);
});
}
const onSpeechStartHandler = e => {
// console.log('start handler =>> ', e);
};
......@@ -69,18 +145,15 @@ export default function Red({ navigation }) {
if (value.includes(secondColor[0]) == true) {
console.log('Your Answer is Correct');
sendData(mainColor[0]);
sendData(mainColor[0])
// showAlert = () => {
// this.setState({
// showAlert: true
// });
// };
audioStart();
} else {
console.log('Your Answer is Incorrect', value);
setModalVisible3(true);
}
......@@ -242,7 +315,7 @@ export default function Red({ navigation }) {
style={[styles.buttonClose2]}
onPress={() => navigation.navigate("Green")}
>
<Image source={require('../../assets/game/next.png')} resizeMode='contain' style={{ width: 100,height: 70, marginBottom:-10}} />
<Image source={require('../../assets/game/next.png')} resizeMode='contain' style={{ width: 100, height: 70, marginBottom: -10 }} />
</TouchableOpacity>
</View>
</View>
......@@ -272,7 +345,7 @@ export default function Red({ navigation }) {
style={[]}
onPress={() => setModalVisible3(!modalVisible3)}
>
<Image source={require('../../assets/alert/tryagain.png')} resizeMode='contain' style={{ width: 100,height: 70, marginBottom:-1}} />
<Image source={require('../../assets/alert/tryagain.png')} resizeMode='contain' style={{ width: 100, height: 70, marginBottom: -1 }} />
</TouchableOpacity>
</View>
</View>
......@@ -394,10 +467,10 @@ const styles = StyleSheet.create({
elevation: 2
},
centeredView2: {
flex: 1,
justifyContent: "center",
......@@ -455,7 +528,7 @@ const styles = StyleSheet.create({
textAlign: "center",
fontSize: 30,
marginBottom: 20,
},alert2: {
}, alert2: {
backgroundColor: "white",
borderRadius: 50,
width: 100,
......@@ -464,11 +537,11 @@ const styles = StyleSheet.create({
marginTop: -80
},
centeredView3: {
flex: 1,
justifyContent: "center",
......
......@@ -7,6 +7,7 @@ import axios from "axios";
import { secondColor } from '../../assets/color/color';
import CountDown from 'react-native-countdown-component';
import client from "../client/Client";
import AudioRecord from 'react-native-audio-record';
import Voice from '@react-native-voice/voice';
import AsyncStorage from '@react-native-async-storage/async-storage';
import BackButton from "../../component/BackButton"
......@@ -26,6 +27,8 @@ export default function White() {
StatusBar.setHidden(true);
audioInit();
const unsubscribe = navigation.addListener("focus", () => {
Orientation.unlockAllOrientations();
......@@ -49,6 +52,76 @@ export default function White() {
};
}, []);
function audioInit() {
// console.log('audioInit');
const colorAudio = {
sampleRate: 16000,
channels: 1,
bitsPerSample: 16,
wavFile: 'color.wav', // thise wave file name
};
AudioRecord.init(colorAudio);
}
async function audioStart() {
// console.log('audioStart');
// checkPermission();
AudioRecord.start();
setTimeout(() => {
audioStop();
}, 2000);
}
async function audioStop() {
// console.log('audioStop');
let audioFile = await AudioRecord.stop();
// console.log('userFile', audioFile);
sendAudio(audioFile);
}
function sendAudio(audioFile) {
var obj = {
uri: `file:${audioFile}`,
type: 'audio/wav',
name: secondColor[5]+'.wav',
}
var data = JSON.stringify(obj)
// console.log(data);
client.post("predict", data, {
headers: {
Accept: 'application/json',
'Content-Type': 'application/json',
},
})
.then((response) => {
// setNames(response.data);
console.log('Success part : ', response.data);
})
.catch(function (error) {
if (error.response) {
console.log('Error data : ', error.response.data);
console.log('Error status : ', error.response.status);
console.log('Error headers : ', error.response.headers);
} else if (error.request) {
console.log('Error request : ', error.request);
} else {
console.log('Error message : ', error.message);
}
console.log('Error else part : ', error.config);
});
}
const onSpeechStartHandler = e => {
// console.log('start handler =>> ', e);
};
......@@ -73,11 +146,7 @@ export default function White() {
sendData(mainColor[5])
showAlert = () => {
this.setState({
showAlert: true
});
};
audioStart();
} else {
......@@ -141,14 +210,6 @@ export default function White() {
// setPartialResults(e.value);
};
const onFinishCD = () => {
Alert.alert('Countdown Finished...');
}
const onPressCD = () => {
Alert.alert('Countdown Component Pressed...');
}
const startRecording = async () => {
setModalVisible(true);
......
......@@ -8,6 +8,7 @@ import CountDown from 'react-native-countdown-component';
import { mainColor } from '../../assets/color/color';
import client from "../client/Client";
import Voice from '@react-native-voice/voice';
import AudioRecord from 'react-native-audio-record';
import AsyncStorage from '@react-native-async-storage/async-storage';
import BackButton from "../../component/BackButton"
......@@ -25,6 +26,8 @@ export default function Yellow() {
Voice.destroy().then(Voice.removeAllListeners);
StatusBar.setHidden(true);
audioInit();
const unsubscribe = navigation.addListener("focus", () => {
Orientation.unlockAllOrientations();
......@@ -48,6 +51,76 @@ export default function Yellow() {
};
}, []);
function audioInit() {
// console.log('audioInit');
const colorAudio = {
sampleRate: 16000,
channels: 1,
bitsPerSample: 16,
wavFile: 'color.wav', // thise wave file name
};
AudioRecord.init(colorAudio);
}
async function audioStart() {
// console.log('audioStart');
// checkPermission();
AudioRecord.start();
setTimeout(() => {
audioStop();
}, 2000);
}
async function audioStop() {
// console.log('audioStop');
let audioFile = await AudioRecord.stop();
// console.log('userFile', audioFile);
sendAudio(audioFile);
}
function sendAudio(audioFile) {
var obj = {
uri: `file:${audioFile}`,
type: 'audio/wav',
name: secondColor[3]+'.wav',
}
var data = JSON.stringify(obj)
// console.log(data);
client.post("predict", data, {
headers: {
Accept: 'application/json',
'Content-Type': 'application/json',
},
})
.then((response) => {
// setNames(response.data);
console.log('Success part : ', response.data);
})
.catch(function (error) {
if (error.response) {
console.log('Error data : ', error.response.data);
console.log('Error status : ', error.response.status);
console.log('Error headers : ', error.response.headers);
} else if (error.request) {
console.log('Error request : ', error.request);
} else {
console.log('Error message : ', error.message);
}
console.log('Error else part : ', error.config);
});
}
const onSpeechStartHandler = e => {
// console.log('start handler =>> ', e);
};
......@@ -72,11 +145,7 @@ export default function Yellow() {
sendData(mainColor[3])
showAlert = () => {
this.setState({
showAlert: true
});
};
audioStart();
} else {
......
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