Commit b66bac08 authored by Lihinikaduwa D.N.R.  's avatar Lihinikaduwa D.N.R.

Merge branch

parents 935e189f a82d7ac4
# import MySQLdb
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, save_color_session_details
from flask import Flask, redirect, url_for, render_template, request, jsonify, make_response
import random
import os
from API.model.colorModel import get_color_activities1, get_color_activities2, get_color_activity_result, \
save_color_session_details
from API.model.readModel import *
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
......@@ -57,72 +60,31 @@ def predict():
try:
data = request.get_json()
fileitem = data['uri']
colorName = data['colorNmae']
# print((f"{colorName}"))
audioFile = data['uri']
name = data['name']
# 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'])
def color_session():
req = request.get_json()
userId = req['userId']
token = save_color_session_details(userId, 1)
data = {
token = save_color_session_details(1)
response = {
"token": token,
"message": "Success",
"status": 200
}
body = jsonify(data)
body = jsonify(response)
return make_response(body)
......@@ -251,4 +213,4 @@ def get_completed_levels(userId):
if __name__ == "__main__":
app.run(host='192.168.1.101')
app.run(host='192.168.8.100')
......@@ -12,7 +12,7 @@ def create_con():
database="helply",
host="127.0.0.1",
user="root",
password="12345678"
password="rp19970520"
)
return db
......
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
......@@ -81,9 +84,48 @@ def get_color_activity_result(userId):
return jsonify(data_dic)
# store color activity session fun
def save_color_session_details(userId, status):
def save_color_session_details(status):
token = getUUID()
qry = 'INSERT INTO colorsession (id,userId,token,status) VALUES (NULL, %s, %s, %s)'
args = (userId, token, status)
qry = 'INSERT INTO colorsession (id,token,status) VALUES (NULL, %s, %s)'
args = (token, status)
insert(qry, args)
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
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......@@ -42,6 +42,7 @@ import GameScreenSixAll from '../screen/memory/elementry/GameScreenSixAll';
import GameOverScreen from '../screen/memory/GameOverScreen';
import Sam from '../screen/sample/sam';
import Progress from '../screen/Progress';
const Stack = createNativeStackNavigator();
......@@ -261,6 +262,11 @@ const AppRouter = () => {
name="Sam"
component={Sam}
/>
<Stack.Screen
options={{headerShown: false}}
name="Progress"
component={Progress}
/>
</Stack.Navigator>
</NavigationContainer>
);
......
......@@ -17,6 +17,7 @@ export default function Color(props) {
React.useEffect(() => {
setType(props.route.params.type);
// AsyncStorage.removeItem('colorToken');
// const type2 = props.route.params.type2;
......@@ -31,11 +32,26 @@ export default function Color(props) {
return unsubscribe;
}, [navigation]);
const getColorSession = () => {
const data = {
userId: 1,
const checkColorSession = () => {
AsyncStorage.getItem('colorToken')
.then(value => {
if (value == null) {
console.log('colorToken', value);
getColorSession(value);
} else {
console.log(value);
console.log('colorToken');
navigation.navigate("PrimaryType", { title: 'Primary Activities', id: 1 })
}
})
.catch(error => {
console.log(error);
});
};
client.post('colorSession', JSON.stringify(data), {
const getColorSession = () => {
client.post('colorSession', {
headers: {
Accept: 'application/json',
'Content-Type': 'application/json',
......@@ -48,7 +64,7 @@ export default function Color(props) {
const colorToken = res.data.token;
try {
AsyncStorage.setItem('colorToken', colorToken);
console.log(colorToken)
// console.log(colorToken)
} catch (error) {
console.log(error);
}
......@@ -76,7 +92,7 @@ export default function Color(props) {
</View> */}
<View style={{ marginTop: 40 }}>
<TouchableOpacity onPress={() => { getColorSession(); }}
<TouchableOpacity onPress={() => { checkColorSession(); }}
style={styles.card}>
<View style={[{ flexDirection: "row" }]}>
......@@ -192,7 +208,7 @@ const styles = StyleSheet.create({
left: 50,
bottom: 50
},
card : {
card: {
borderWidth: 5,
borderColor: "purple",
marginVertical: 20,
......@@ -211,7 +227,7 @@ const styles = StyleSheet.create({
shadowOpacity: 0.3,
shadowRadius: 1.5,
},
card2 : {
card2: {
borderWidth: 5,
borderColor: "orange",
marginVertical: 20,
......@@ -229,7 +245,7 @@ const styles = StyleSheet.create({
},
shadowOpacity: 0.3,
shadowRadius: 1.5,
},card3 : {
}, card3: {
borderWidth: 5,
borderColor: "lightblue",
marginVertical: 20,
......@@ -247,20 +263,20 @@ const styles = StyleSheet.create({
},
shadowOpacity: 0.3,
shadowRadius: 1.5,
},cardTitle: {
}, cardTitle: {
fontWeight: "bold",
color: "white",
fontSize: 35,
marginLeft: 10,
marginTop: 80,
},cardTitle3: {
}, cardTitle3: {
fontWeight: "bold",
color: "white",
fontSize: 35,
marginLeft: 35,
marginTop: 80,
}
,cardImage: {
, cardImage: {
padding: 0,
flex: 0.7,
},
......
......@@ -2,6 +2,7 @@ import React from "react";
import { StyleSheet, View, Text, Pressable, SafeAreaView, ScrollView, Image } from 'react-native';
import Orientation from 'react-native-orientation-locker';
import ImageButton from "../component/ImageButton";
import AsyncStorage from '@react-native-async-storage/async-storage';
export default function Home({ navigation }){
......@@ -10,6 +11,9 @@ export default function Home({ navigation }){
}
React.useEffect(() => {
AsyncStorage.removeItem('colorToken');
const unsubscribe = navigation.addListener("focus", () => {
Orientation.unlockAllOrientations();
Orientation.lockToPortrait();
......@@ -49,7 +53,7 @@ export default function Home({ navigation }){
style={styles.image}
source={require('../assets/color/background.png')}
resizeMode="contain"></Image>
<ImageButton path="Progress" title="Progress Check" />
<ImageButton path="Progress" title="Progress" />
</View>
{/* <View style={styles.imageView}>
<Image
......
import React, { Component } from 'react'
import { StyleSheet, TouchableOpacity, View, Text, Pressable, SafeAreaView, ScrollView, Image, ImageBackground, Dimensions, Animated, Easing, NativeModules } from 'react-native';
export default function Progress(){
return (
<View><Text>ddddddd</Text></View>
)
}
......@@ -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 {
......@@ -194,7 +260,7 @@ export default function Green({ navigation }) {
onFinish={() => setModalVisible(false)}
digitStyle={{ backgroundColor: '#FFF', borderWidth: 2, borderColor: 'black' }}
digitTxtStyle={{ color: 'black' }}
timeLabelStyle={{ color: 'white', fontWeight: 'bold' }}
timeLabelStyle={{ color: 'green', fontWeight: 'bold' }}
separatorStyle={{ color: 'black' }}
timeToShow={['S']}
timeLabels={{ s: 'Seconds' }}
......
......@@ -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);
};
......@@ -70,17 +146,14 @@ export default function Red({ navigation }) {
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);
}
......@@ -119,6 +192,8 @@ export default function Red({ navigation }) {
AsyncStorage.getItem('colorToken')
.then(res => {
console.log(res)
var date = new Date().getDate();
var month = new Date().getMonth() + 1;
var year = new Date().getFullYear();
......@@ -169,7 +244,7 @@ export default function Red({ navigation }) {
const startRecording = async () => {
setModalVisible(true);
// setModalVisible(true);
try {
await Voice.start('en-US');
......@@ -242,7 +317,7 @@ 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 +347,7 @@ 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>
......@@ -455,7 +530,7 @@ const styles = StyleSheet.create({
textAlign: "center",
fontSize: 30,
marginBottom: 20,
},alert2: {
}, alert2: {
backgroundColor: "white",
borderRadius: 50,
width: 100,
......
......@@ -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 {
......
......@@ -2,6 +2,6 @@ import axios from 'axios';
// export default axios.create({ baseURL: 'http://192.168.8.102:5000/', timeout: 15000, });
export default axios.create({
baseURL: 'http://192.168.1.101:5000/',
baseURL: 'http://192.168.8.100:5000/',
timeout: 15000,
});
{
"name": "21_22j-38",
"lockfileVersion": 2,
"requires": true,
"packages": {}
}
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