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Sur d’autres sites (12715)
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I tried to play the audio on Alexa skill from my S3 Bucket, from the test tab, **it show but in fact, I can't hear any sound
19 avril 2022, par Siti MaynaSo I tried to play the audio on Alexa skill from my S3 Bucket, from the test tab, it show but in fact, I can't hear any sound. Another fact is, that I tried to use the sample audio from https://developer.amazon.com/en-US/docs/alexa/custom-skills/ask-soundlibrary.html and it is worked, but why it won't work when it comes from my own S3 Bucket ?


Notes :


I've tried to test the skill using my mobile phone also.


I've tried to encode the audio using FFmpeg.


I've tried to use Jovo to convert the audio. https://v3.jovo.tech/audio-converter


I don't know how to fix this error.


There is no error message on cloud watch.


Assumptions :
There is some problem related to the audio resources or there is more set to play audio from S3 Bucket since the sample audio is working.


Steps to reproduce :




Build the interaction model






Encode the audio to make it Alexa skill friendly (fulfill the requirements, like sample rate, etc), I used and tried all of these :




A :


ffmpeg -i -ac 2 -codec:a libmp3lame -b:a 48k -ar 16000 -write_xing 0 


B :


ffmpeg -i -ac 2 -codec:a libmp3lame -b:a 48k -ar 24000 -write_xing 0 


C :


ffmpeg -y -i input.mp3 -ar 16000 -ab 48k -codec:a libmp3lame -ac 1 output.mp3




Upload the audio resources on S3Bucket
Audio sample on s3 storage but none of them are produce any sounds






Use the link and insert it to APLA.json





 {
 "type": "APLA",
 "version": "0.91",
 "description": "Simple document that generates speech",
 "mainTemplate": {
 "parameters": [
 "payload"
 ],
 "type": "Sequencer",
 "items": [
 {
 "type": "Audio",
 "source": "https://72578561-d9d8-47b4-811c-cafbcbc5ddb9-us-east-1.s3.amazonaws.com/Media/one-small-step-alexa-24.mp3"
 }
 ]
 }
 }



notes : I change the link sources based on audio that I tried.




the intent on lambda_function.py :




def _load_apl_document(file_path):
 # type: (str) -> Dict[str, Any]
 """Load the apl json document at the path into a dict object."""
 with open(file_path) as f:
 return json.load(f)

class LaunchRequestHandler(AbstractRequestHandler):
 """Handler for Skill Launch."""
 def can_handle(self, handler_input):
 # type: (HandlerInput) -> bool

 return ask_utils.is_request_type("LaunchRequest")(handler_input)

 def handle(self, handler_input):
 # type: (HandlerInput) -> Response
 logger.info("In LaunchRequestHandler")

 # type: (HandlerInput) -> Response
 speak_output = "Hello World!"
 # .ask("add a reprompt if you want to keep the session open for the user to respond")

 return (
 handler_input.response_builder
 #.speak(speak_output)
 .add_directive(
 RenderDocumentDirective(
 token="pagerToken",
 document=_load_apl_document("APLA.json"),
 datasources={}
 )
 )
 .response
 )




Deploy






Test it






The result of the test on my end :

The response for testing




the JSON response :


{
 "body": {
 "version": "1.0",
 "response": {
 "directives": [
 {
 "type": "Alexa.Presentation.APLA.RenderDocument",
 "token": "pagerToken",
 "document": {
 "type": "APLA",
 "version": "0.91",
 "description": "Simple document that generates speech",
 "mainTemplate": {
 "parameters": [
 "payload"
 ],
 "type": "Sequencer",
 "items": [
 {
 "type": "Audio",
 "source": "https://72578561-d9d8-47b4-811c-cafbcbc5ddb9-us-east-1.s3.amazonaws.com/Media/one-small-step-alexa-24.mp3"
 }
 ]
 }
 },
 "datasources": {}
 }
 ],
 "type": "_DEFAULT_RESPONSE"
 },
 "sessionAttributes": {},
 "userAgent": "ask-python/1.16.1 Python/3.7.12"
 }
}




On my cloud Watch :
Cloud Watch




-
How to combine three ffmpeg commands into one ?
26 juillet 2018, par NaneI am pretty confused that how to combine three ffmpeg commnads into one which also consists of two inputs.
// rescale with certain dimension
ffmpeg -i front.mp4 -filter_complex scale=600:400 rescale.mp4
//Attach to image
ffmpeg -i 600800.jpg -i rescale.mp4 -filter_complex "overlay=(W-w)/2:(H-h)/2" final.mp4
// After Changed to specific even size Burn Subtitles with Draw Text
ffmpeg -i final.mp4 -filter_complex "drawtext=fontfile=Lucida Grande.ttf:text='I am TEXT':fontsize=72:fontcolor=white:x=50:y=100,subtitles=sample.srt:force_style='Fontsize=22,OutlineColour=&H55000000,BorderStyle=3'" CheckMe.mp4 -
How can I export a video with a widget overlay in a Flutter app ?
30 juin 2024, par Mohammed BekeleI'm developing a Flutter app for a embedding caption on a videos that need to be export as video file after processing it. I'm utilizing the flutter_ffmpeg_kit package. However, I'm having trouble getting the export to work properly.


Here's the code I'm using :


initially this is my stack :


Expanded(
 child: Stack(
 children: [
 Center(
 child: _videoPlayerController.value.isInitialized
 ? AspectRatio(
 aspectRatio:
 _videoPlayerController.value.aspectRatio,
 child: VideoPlayer(_videoPlayerController),
 )
 : CircularProgressIndicator(),
 ),
 if (_currentCaption.isNotEmpty)
 Positioned.fill(
 child: Center(child: _buildCaptionText()),
 ),
 ],
 ),
 ),


and in export button i executed this function


Future<void> _exportVideo() async {
 setState(() {
 _isProcessing = true;
 });

 try {
 final directory = await getExternalStorageDirectory();
 final rootPath = directory?.parent.parent.parent.parent.path;
 final mobixPath = path.join(rootPath!, 'Mobix App');
 final appPath = path.join(mobixPath, 'Caption');
 final outputPath = path.join(appPath, 'Output');

 // Create the directories if they don't exist
 await Directory(outputPath).create(recursive: true);

 final timestamp = DateTime.now().millisecondsSinceEpoch;
 final outputFilePath = path.join(outputPath, 'output-$timestamp.mp4');


 // Generate the FFmpeg command
 final ffmpegCommand = _generateFFmpegCommand(
 widget.videoPath,
 outputFilePath,
 widget.words,
 _fontSize,
 _isBold,
 _isItalic,
 _fontColor,
 _backgroundColor,
 );

 // Execute the FFmpeg command
 await FFmpegKit.execute(
 ffmpegCommand,
 ).then(
 (session) async {
 // Update progress if needed
 final returnCode = await session.getReturnCode();
 if (ReturnCode.isSuccess(returnCode)) {
 setState(() {
 _outputFilePath = outputFilePath;
 });
 ScaffoldMessenger.of(context).showSnackBar(
 SnackBar(content: Text('Export successful: $_outputFilePath')),
 );
 } else {
 print('Export failed with rc: $returnCode');

 ScaffoldMessenger.of(context).showSnackBar(
 SnackBar(content: Text('Export failed with rc: $returnCode')),
 );
 }
 setState(() {
 _isProcessing = false;
 });
 },
 );
 } catch (e) {
 print('Export failed: $e');
 ScaffoldMessenger.of(context).showSnackBar(
 SnackBar(content: Text('Export failed: $e')),
 );
 setState(() {
 _isProcessing = false;
 });
 }
 }

 String _generateFFmpegCommand(
 String inputPath,
 String outputPath,
 List<dynamic> words,
 double fontSize,
 bool isBold,
 bool isItalic,
 Color fontColor,
 Color backgroundColor,
 ) {
 final ffmpegCommand = StringBuffer();

 // Add input file
 ffmpegCommand.write('-i $inputPath ');

 // Add subtitles filter
 final subtitleFilter = StringBuffer();
 for (var word in words) {
 final startTime = word['startTime'].toDouble();
 final endTime = word['endTime'].toDouble();
 final caption = word['word'];

 final fontStyle = isBold && isItalic
 ? 'bold italic'
 : isBold
 ? 'bold'
 : isItalic
 ? 'italic'
 : 'normal';
 final fontColorHex = fontColor.value.toRadixString(16).substring(2);
 final backgroundColorHex =
 backgroundColor.value.toRadixString(16).substring(2);

 subtitleFilter.write(
 "drawtext=text='$caption':x=(w-tw)/2:y=h-(2*lh):fontcolor=$fontColorHex:fontsize=$fontSize:fontStyle=$fontStyle:box=1:boxcolor=$backgroundColorHex@0.5:boxborderw=5:enable='between(t,$startTime,$endTime)',");
 }
 ffmpegCommand.write('-vf "${subtitleFilter.toString()}" ');

 // Add output file
 ffmpegCommand.write('$outputPath');

 return ffmpegCommand.toString();
 }
</dynamic></void>

When I run this it returns ReturnCode 1. What am i doing wrong ?


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