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Persian_Automatic_Speech_Recognition-asr
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Kamtera commited on
Commit
4a684d4
·
1 Parent(s): d3e1b2e

Update app.py

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Files changed (1) hide show
  1. app.py +80 -5
app.py CHANGED
@@ -5,9 +5,82 @@ import os
5
  import speech_recognition as sr
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7
 
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- html_seeker='''
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- <html> <head> <meta charset="utf-8" /> <title>Gentle</title> <style> html, body { margin: 0; padding: 0; min-width: 900px; } #header { position: fixed; top: 0; left: 0; height: 50px; min-width: 900px; line-height: 50px; width: 100%; background-color: #999; box-shadow: 0px 0px 5px 0px rgba(0,0,0,0.5); font-family: Helvetica, sans-serif; } #header, #header a { color: white; } .home { margin: 0; font-weight: bold; text-transform: lowercase; width: 100px; } h4.home { margin: 0; background: #666; padding-left: 25px; padding-right: 30px; margin-right: 20px; float: left; text-decoration: none; } .home:hover a { background: #555; } #audio { margin-top: 9px; width: 500px; display: inline-block; } #transcript { margin: 0 15px; margin-bottom: 5em; white-space: pre-wrap; line-height: 2em; max-width: 600px; color: #999; clear: both; margin-top: 75px; /*direction: rtl;*/ } .success { color: black; } .success:hover { text-decoration: underline; } .active { color: magenta; background-color: yellow; } #preloader { visibility: hidden; } </style> </head> <body> <div id="header"> <h4 class="home">Model name</h4>'''
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- html_seeker1='''</div>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  </div>
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@@ -17,6 +90,7 @@ html_seeker1='''</div>
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  <script>
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  var $a = document.querySelector("audio");
 
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  window.onkeydown = function(ev) {
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  if(ev.keyCode == 32) {
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  ev.preventDefault();
@@ -97,7 +171,8 @@ function update() {
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  }
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  var INLINE_JSON='''
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- html_seeker2=''';update();
 
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  </script>'''
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  '''
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  model_name = "voidful/wav2vec2-xlsr-multilingual-56"
@@ -122,7 +197,7 @@ def predict_fa(speech,model):
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  text = model0(speech,return_timestamps="word" )
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  '''
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  text={"text": "\u0627\u06cc\u0646\u0627\u0646 \u06a9\u0631\u0627\u0644\u0627\u0644 \u0648 \u06a9\u0648\u0631\u0646\u062f \u0648 \u0644\u0632\u0627 \u0627\u0632 \u06af\u0645\u0631\u0627\u0647\u06cc \u0628\u0647 \u0631\u0627\u0647 \u0628\u0627\u0632 \u0646\u0645\u06cc\u06a9\u0631\u062f\u0646\u062f", "chunks": [{"text": "\u0627\u06cc\u0646\u0627\u0646", "timestamp": [0.0, 0.72]}, {"text": "\u06a9\u0631\u0627\u0644\u0627\u0644", "timestamp": [0.92, 1.6]}, {"text": "\u0648", "timestamp": [1.72, 1.74]}, {"text": "\u06a9\u0648\u0631\u0646\u062f", "timestamp": [1.9, 2.54]}, {"text": "\u0648", "timestamp": [2.76, 2.78]}, {"text": "\u0644\u0632\u0627", "timestamp": [2.88, 3.16]}, {"text": "\u0627\u0632", "timestamp": [3.4, 3.5]}, {"text": "\u06af\u0645\u0631\u0627\u0647\u06cc", "timestamp": [3.64, 4.3]}, {"text": "\u0628\u0647", "timestamp": [4.6, 4.68]}, {"text": "\u0631\u0627\u0647", "timestamp": [4.78, 5.12]}, {"text": "\u0628\u0627\u0632", "timestamp": [5.3, 5.58]}, {"text": "\u0646\u0645\u06cc\u06a9\u0631\u062f\u0646\u062f", "timestamp": [5.68, 7.14]}]}
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- return [text['text'],json.dumps(text),html_seeker+speech+html_seeker1+json.dumps(text)+html_seeker2]
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  def convert_to_wav(filename):
 
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  import speech_recognition as sr
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+ html_seeker='''<style>
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+ html, body {
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+ margin: 0;
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+ padding: 0;
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+ min-width: 900px;
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+ }
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+ #header {
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+ /*position: fixed;*/
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+ top: 0;
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+ left: 0;
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+ height: 50px;
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+ min-width: 900px;
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+ line-height: 50px;
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+ width: 100%;
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+ background-color: #999;
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+ box-shadow: 0px 0px 5px 0px rgba(0,0,0,0.5);
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+ font-family: Helvetica, sans-serif;
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+ }
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+ #header, #header a {
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+ color: white;
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+ }
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+
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+ .home {
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+ margin: 0;
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+ font-weight: bold;
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+ text-transform: lowercase;
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+ width: 100px;
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+ }
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+ h4.home {
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+ margin: 0;
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+ background: #666;
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+ padding-left: 25px;
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+ padding-right: 30px;
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+ margin-right: 20px;
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+ float: left;
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+ text-decoration: none;
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+ }
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+ .home:hover a {
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+ background: #555;
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+ }
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+ #audio {
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+ margin-top: 9px;
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+ width: 500px;
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+ display: inline-block;
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+ }
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+ #transcript {
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+ margin: 0 15px;
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+ margin-bottom: 5em;
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+ white-space: pre-wrap;
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+ line-height: 2em;
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+ max-width: 600px;
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+ color: #999;
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+ clear: both;
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+ margin-top: 75px;
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+ /*direction: rtl;*/
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+ }
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+ .success {
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+ color: black;
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+
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+ }
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+ .success:hover {
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+ text-decoration: underline;
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+ }
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+ .active {
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+ color: magenta;
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+ background-color: yellow;
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+ }
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+ #preloader {
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+ visibility: hidden;
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+ }
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+
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+
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+ </style><div id="header">
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+ <h4 class="home">Model name</h4>
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+ <audio id="audio" src="17.mp3" controls="true"></audio>
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+ </div>
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  </div>
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86
 
 
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  <script>
91
 
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  var $a = document.querySelector("audio");
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+ $a.src=document.querySelector('audio').src;
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  window.onkeydown = function(ev) {
95
  if(ev.keyCode == 32) {
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  ev.preventDefault();
 
171
  }
172
 
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  var INLINE_JSON='''
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+ html_seeker2=''';
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+ update();
176
  </script>'''
177
  '''
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  model_name = "voidful/wav2vec2-xlsr-multilingual-56"
 
197
  text = model0(speech,return_timestamps="word" )
198
  '''
199
  text={"text": "\u0627\u06cc\u0646\u0627\u0646 \u06a9\u0631\u0627\u0644\u0627\u0644 \u0648 \u06a9\u0648\u0631\u0646\u062f \u0648 \u0644\u0632\u0627 \u0627\u0632 \u06af\u0645\u0631\u0627\u0647\u06cc \u0628\u0647 \u0631\u0627\u0647 \u0628\u0627\u0632 \u0646\u0645\u06cc\u06a9\u0631\u062f\u0646\u062f", "chunks": [{"text": "\u0627\u06cc\u0646\u0627\u0646", "timestamp": [0.0, 0.72]}, {"text": "\u06a9\u0631\u0627\u0644\u0627\u0644", "timestamp": [0.92, 1.6]}, {"text": "\u0648", "timestamp": [1.72, 1.74]}, {"text": "\u06a9\u0648\u0631\u0646\u062f", "timestamp": [1.9, 2.54]}, {"text": "\u0648", "timestamp": [2.76, 2.78]}, {"text": "\u0644\u0632\u0627", "timestamp": [2.88, 3.16]}, {"text": "\u0627\u0632", "timestamp": [3.4, 3.5]}, {"text": "\u06af\u0645\u0631\u0627\u0647\u06cc", "timestamp": [3.64, 4.3]}, {"text": "\u0628\u0647", "timestamp": [4.6, 4.68]}, {"text": "\u0631\u0627\u0647", "timestamp": [4.78, 5.12]}, {"text": "\u0628\u0627\u0632", "timestamp": [5.3, 5.58]}, {"text": "\u0646\u0645\u06cc\u06a9\u0631\u062f\u0646\u062f", "timestamp": [5.68, 7.14]}]}
200
+ return [text['text'],json.dumps(text),html_seeker+json.dumps(text)+html_seeker2]
201
 
202
 
203
  def convert_to_wav(filename):