<tr>第 1 个范围＝行"＞第 1 个<td>{{长度}}</td><td>{{ location }}</td><td>{{ state }}</td></tr><tr>第 2 个范围＝行"＞第 2 个<td></td><td></td><td></td></tr><tr>第 3 范围＝行"＞3<td colspan=2"></td><td></td></tr></tbody><ul class="list-group list-group-flush";id="care_list"><li class="list-group-item">请发送电子邮件至 tom@vrifyhealth.com 寻求帮助.</li></节>{% 端块含量 %}
解决方案
它比我们想象的更容易就像我们创建 new Array() 一样，有一个代码 new SpeechRecognition() 来创建语音到文本转换器.不需要外部库来执行此操作.这是代码:-
/* JS 来了 */函数 SpeechRecog() {var output = document.getElementById("输出");var action = document.getElementById("action");var SpeechRecognition = SpeechRecognition ||webkitSpeechRecognition；var 识别 = new SpeechRecognition();//当语音识别服务启动时运行识别.onstart = function() {action.innerHTML = "听着，请说...</small>";};识别.onpeechend = 函数(){action.innerHTML = "<small>停止听，希望你完成了...</small>";识别.停止()；}//当语音识别服务返回结果时运行识别.onresult = 函数(事件){var 成绩单 = event.results[0][0].transcript;var 信心 = event.results[0][0].confidence;输出值=成绩单；};//开始识别识别开始()；}
button{白颜色;背景:蓝色；边界:无；填充:10px；边距:5px；边界半径:1em;}输入{填充:.5em；边距:.5em；}
<p>我是 Aakash1282，<br>你懒惰吗，这里是你的配音师</p><p><button type="button" onclick="SpeechRecog()">用语音书写</button> <span id="action"></span></p><input type="text" id="output">
这些代码在堆栈溢出中出现了一些问题，但在本地文件上运行良好，这里是 Codepen 工作代码:https://codepen.io/aakash1282/pen/xxqeQyM
参考它并根据需要制作表格.
I have a webpage with a web form with flask. Currently, users will need to manually enter their information into the webpage. Then it's appended to a table that they are redirected to once clicking submit. The setup is basically: video is autoplayed and asks user questions, the user fills out their answers manually, once clicking submit, they see their answers are appended to a table.
I want to reduce the clutter of the page and make it so that the user can verbally give their responses to the video questions. I've read about getusermedia, websockets, and WebRTCs, but am getting confused about them. I've looked all over here, youtube, reddit, and the like. Specifically, here, here, here, and here without much luck.
I'm thinking a simply for loop with speech recognizer with the different variable in a dict and then passing the data as is, but i'm not sure how to connect that microphone action with the frontend in particular. Isn't the front end where all of the data resides, so we need an http request to obtain it and analyze it? Here's my code:
main.py:
from flask import render_template, Flask, request
import os
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer as SIA
import nltk
import io
import os
from nltk.corpus import stopwords
import speech_recognition as sr
app = Flask(__name__, static_folder = 'static')
# # set the stopwords to be the english version
# stop_words = set(stopwords.words("english"))
# # create the recognizer
# r = sr.Recognizer()
# # define the microphone
# mic = sr.Microphone(device_index=0)
# r.energy_threshold = 300
# # vader sentiment analyzer for analyzing the sentiment of the text
# sid = SIA()
# user = []
# location = []
# state = []
# info = [user, location, state]
# # patient.name?
@app.route("/", methods=["GET", "POST"])
def home():
user = request.values.get('name')
location = request.values.get('location')
state = request.values.get('state')
# if request.method == "POST":
# with mic as source:
# holder = []
# for x in info:
# audio_data = r.listen(source)
# r.adjust_for_ambient_noise(source)
# text = r.recognize_google(audio_data, language = 'en-IN')
# holder.append(text.lower())
# if x == "state":
# ss = sid.polarity_scores(holder)
# if ss == "neg":
# x.append(str("sad"))
# else:
# x.append(str("not sad"))
# else:
# filtered_words = [words for words in holder if not words in stop_words] # this filters out the stopwords
# x.append(filtered_words.lower())
# return redirect(url_for('care', user = user))
return render_template('index.html', user = user, location=location, state=state)
@app.route("/care", methods=["POST"])
def care():
user = request.values.get('name')
location = request.values.get('location')
state = request.values.get('state')
return render_template('list.html', user = user, location=location, state=state)
if __name__ == "__main__":
#app.run(debug=True)
app.run(debug=True, threaded=True)
index.html:
{% extends "base.html" %}
{% block content %}
<!---------Therapist Section--------->
<section id="therapist">
<div class="container" id="therapist_container">
<script>
window.onload = function() {
</script>
<div id="button">
<button type="button" class="btn btn-primary" id="therapist-button" data-toggle="modal" data-target="#myModal">Talk with Delphi</button>
</div>
<!-- Modal -->
<div class="modal fade" id="myModal" tabindex="-1" role="dialog" aria-labelledby="vid1Title" aria-hidden="true">
<div class="modal-dialog modal-dialog-centered" role="document">
<div class="modal-content">
<div class="modal-body">
<video width="100%" id="video1">
<source src="./static/movie.mp4" type="video/mp4">
</video>
<form action="/care" method="POST">
<input type="text" name="name" placeholder="what's your name?" id="name">
<input type="text" name="location" placeholder="Where are you?" id="location">
<input type="text" name="state" placeholder="how can I help?" id="state">
<input id="buttonInput" class="btn btn-success form-control" type="submit" value="Send">
</form>
</div>
</div>
</div>
</div>
<script>
$('#myModal').on('shown.bs.modal', function () {
$('#video1')[0].play();
})
$('#myModal').on('hidden.bs.modal', function () {
$('#video1')[0].pause();
})
video = document.getElementById('video1');
video.addEventListener('ended',function(){
window.location.pathname = '/care';})
function callback(stream) {
var context = new webkitAudioContext();
var mediaStreamSource = context.createMediaStreamSource(stream);
}
$(document).ready(function() {
navigator.webkitGetUserMedia({audio:true}, callback);
}
</script>
</div>
</section>
{% endblock content %}
list.html:
{% extends "base.html" %}
{% block content %}
<!----LIST------>
<section id="care_list">
<div class="container" id="care_list_container">
<h1 class="jumbotron text-center" id="care_list_title">{{ user }} Care Record</h1>
<div class="container">
<table class="table table-hover">
<thead>
<tr>
<th scope="col">Session #</th>
<th scope="col">Length</th>
<th scope="col">Location</th>
<th scope="col">State</th>
</tr>
</thead>
<tbody>
<tr>
<th scope="row">1</th>
<td>{{ length }}</td>
<td>{{ location }}</td>
<td>{{ state }}</td>
</tr>
<tr>
<th scope="row">2</th>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th scope="row">3</th>
<td colspan="2"></td>
<td></td>
</tr>
</tbody>
</table>
<ul class="list-group list-group-flush" id="care_list">
<li class="list-group-item">Please email tom@vrifyhealth.com for help.</li>
</ul>
</div>
</section>
{% endblock content %}
解决方案
Its more easy than we think
as like we create new Array(), there is a code new SpeechRecognition() to create a voice to text converter. No external library is need to do this.
Here is code:-
/* JS comes here */
function SpeechRecog() {
var output = document.getElementById("output");
var action = document.getElementById("action");
var SpeechRecognition = SpeechRecognition || webkitSpeechRecognition;
var recognition = new SpeechRecognition();
// This runs when the speech recognition service starts
recognition.onstart = function() {
action.innerHTML = "<small>listening, please speak...</small>";
};
recognition.onspeechend = function() {
action.innerHTML = "<small>stopped listening, hope you are done...</small>";
recognition.stop();
}
// This runs when the speech recognition service returns result
recognition.onresult = function(event) {
var transcript = event.results[0][0].transcript;
var confidence = event.results[0][0].confidence;
output.value=transcript;
};
// start recognition
recognition.start();
}
button{
color:white;
background:blue;
border:none;
padding:10px;margin:5px;
border-radius:1em;
}
input{
padding:.5em;margin:.5em;
}
<p>I'm Aakash1282,<br> Are you lazy, here is voice writer for your</p>
<p><button type="button" onclick="SpeechRecog()">Write By Voice</button> <span id="action"></span></p>
<input type="text" id="output">
These codes giving some problem in Stack Overflow, but working perfectly at local files, here is Codepen working codes : https://codepen.io/aakash1282/pen/xxqeQyM
Take its reference and make your form as per you want.
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