Відео

Hi @rahuljaguar5638! Yes, it should. The CLI supports a --language parameter - for example: las --language it-it The source code is in GitHub here if you want to take a look: github.com/RobertoPrevato/Like-a-srt/blob/main/likeasrt/commands/srt.py - I didn't try much with other languages, though.

@@RobertoPrevato86 thank you

Hi! Thank You for your kind words. You don´t need a server in all use cases, but I thought it would be a useful example because in many applications, you can have a Web API that implements authentication using JWT Bearer tokens issued by Azure Active Directory (or another identity provider implementing OAuth flows), and you can have a Client Application that interacts with that API, authenticating using the client credentials flow with secret, or with certificate, to obtain access tokens for that API.

​@@RobertoPrevato86 follow up question, I set permissions (instead of a role) to have application access. I am getting an invalid audience error when using the token. Could that have anything to do with it?

​@@wilsonrodriguez6625 in this situation, start by checking the value of the "aud" claim in the access token you get (you can inspect it at jwt.ms). The issue might be caused by something silly like an extra or missing "/" slash at the end of the audience you configured as valid audience. Otherwise, if the audience is completely different than what you expected, it might depend on the scopes you configured.

Apologies for replying late. You could configure a service principal with sufficient privileges to read App Registrations and their credentials, and a job running periodically either in YAML Pipelines / GitHub Workflows / Azure Automation Account, fetching app credentials for each app registration and updating them automatically. The challenge is that you would need to also write those secrets where necessary.

Hi James, sorry for replying late. Yes, Azure Cognitive Services offer Text to Speech feature. I just took a look at the examples, and it doesn't seem to offer out of the box support for .srt to mp3. Something similar to my "Like-a-srt" would be needed but working the other way around. If I wasn't busy with other projects, I could extend my CLI with support for that scenario.

Glad it helped!

I'm happy my video helped. I recommend to take a look at the new build systems (pyproject.toml and build back-ends like hatchling). You can see some examples on my GitHub account, looking at the Makefile, and GitHub workflows file: for example here github.com/Neoteroi/rodi

Thank You Abdullah for your kind words, and I apologize for replying late. (Lately I dedicated more time to my open source projects in GitHub). I welcome your advice and I'll be careful to add more links to my existing videos and future ones. I plan to do more videos but right now I am giving priority to my projects in GitHub.

Thanks for your kind words, Abdullah! By the way, this video explains how to use setup.py. If you wish to see an example that uses `pyproject.toml` instead (which is a more modern way to pack Python libraries), you can see examples here: github.com/RobertoPrevato/pyproject-templates and github.com/Neoteroi/mkdocs-plugins - I should do more videos! But I'm also maintaining projects in GitHub and time is limited.

@@RobertoPrevato86 Right now, I've plan to watch your GitHub workflow series but I'll check your provided link for sure. Thanks again for your help :)

Hi Faisal, sorry for replying late. As written in the README and explained in the video, Python 3.9 is required (this is a limitation of the official SDK from Microsoft, although I didn't check if the situation changed recently). And about how to run it in Python code, you can do it this way: in general, Python console applications have their commands described in `setup.py` files (legacy) or in pyproject.toml files (more modern way) - in "entry_points" or "[project.scripts]" respectively. To find the answer in any kind of situation, check these entry points or "[project.scripts]" to know how to run the code directly in Python without using a CLI. In this specific case, you are looking for: `from likeasrt.domain.azurespeech import generate_srt_from_file`. You can find the source code here: github.com/RobertoPrevato/Like-a-srt/blob/main/likeasrt/commands/srt.py

Hi Faisal, I replied under the other comment.

Glad it was helpful!

Thank You for your kind words. By the way, the same principles apply almost completely to Auth0 and Okta, too. I wished I knew these things when I started working with Azure. ☺

Thank You for your kind words, I'm glad that you found it useful. :)

Hi! Sorry for the late reply - somehow I missed your message. You probably found the answer by now, but I reply for future readers. To include "groups" claims you need to edit the App Registration manifest. I don't recommend including "groups" claims - I did it in the past, then had problems like iOS truncating headers because they exceeded the max length - only for users or apps belonging to many groups. I recommend using App Roles. Some information on groups can be found here learn.microsoft.com/en-us/azure/active-directory/hybrid/how-to-connect-fed-group-claims

Hi, I apologize for replying so late. I didn't have time at first, then forgot to reply. I don't know about that subject, I cannot help.

You are right. I have many examples in GitHub, I leave a comment in the description. For new projects I recommend, if possible, to use GitHub Actions. I published other tutorials for them.

Thank You! I'm glad it helped.

Hi Mohammad, I just checked the source code I wrote months ago, and I see this is currently not configurable. I created a issue in GitHub for this github.com/RobertoPrevato/Like-a-srt/issues/4 - I can fix this easily.

Hi Roberto, actually my doubt is let's say we have 2 audio sentence which is splitting by long pause like 4-5 second pause .But In second sentence there is a small pause let say 2 second. So when we are passing the audio file in the azure cognitive speech to text then we see it split the sentence into 3 text line because in the 2 sentence we have a small pause but actually we want 2 text sentence and we are getting 3 text sentence. So can we control the pause in the azure cognitive speech to text? Sorry i m writing too much, but i m explaining my problem.

@@mohammadamerkhan1934 the feature I described is related to the detail you are describing. The Azure Speech API returns information about when sounds started and how much time they lasted. The splitting of words into groups is done by my function in Python - by default it splits words into groups that last 3 seconds each. It's better to discuss on GitHub. :)

As far as I know, it's not possible to control the pause in Azure Cognitive Speech.

Thank You for your kind words. Sorry for replying so late. In the last months I had less time for my open source projects. I definitely want to do tutorial for BlackSheep. In the last days I worked on custom extensions for MkDocs to improve the BlackSheep documentation website, and I am preparing for a certification exam, but I want to make time for more tutorials.

Thank You for your comment!

Thank You!

Yes

@@RobertoPrevato86 thx

@@qzeq_c you're welcome :) if you take a look at my projects in GitHub, you can find examples of YAML files for GitHub Workflows that test, create distribution packages, and deploy packages to PyPi when a release is created. If you need to use Azure DevOps, it would be easy to convert them to Azure DevOps YAML pipelines. For example this one -> github.com/Neoteroi/essentials/blob/main/.github/workflows/build.yml

Sorry for replying late. I'm planning to work on video tutorials for BlackSheep, yes. However these days I am still working on additional features for the framework and I am not sure when I will have time to record new videos. At the moment there are two written tutorials in the documentation.

Thank You for your kind words! What was the most challenging part in your case? In my case, I think getting the DevOps part right, and using cloud services. Now I can work on several projects and keep them alive, thanks to the experience I made in the last 3-4 years.

Hi! I open sourced this project, it's available here -> github.com/Neoteroi/Torino

Hi Anil, Sorry I missed your comment. It was Numix theme and related icons.

Hi Erick, thank you for leaving a kind comment! If it can be of interest for you, I just configured a pipeline using GitHub actions that does the same: build and test a Python package upon push (including PR validation), then when a release is created in GitHub using tags, it automatically publishes a package to Test PyPi and PyPi. You can find it here in GitHub: github.com/Neoteroi/essentials-openapi

Hi! I'm glad that was useful. These days I prepared some new tutorials that describe how I am now handling Python projects in GitHub, and how I use GitHub Workflows / Actions to validate the code, create distribution packages, and publish to PyPi.

Thank You for your kind words. I would love to produce more videos, but right now I really lack time for this.

There is no code for this specific tutorial. However, you can find examples of Azure Pipelines YAML files in my repositories in GitHub, for example here github.com/RobertoPrevato/BlackSheep/blob/master/azure-pipelines.yml - and also examples of GitHub Workflows YAML here github.com/Neoteroi/essentials-openapi (under .github/workflows folder)

Hi Vaibhav, I am so sorry for missing your question and not replying earlier. Today I would focus on GitHub Workflows instead, and thank you for your recommendation, it's indeed something worth documenting. I have a setup done to build wheels in my web framework in GitHub, under workflows -> github.com/Neoteroi/BlackSheep

My pleasure!

Some commands are different in Windows, most of them will be equal. I recommend to take a look at pipelines defined in YAML, for both Azure DevOps and GitHub workflows. In other comments I added above, you can find links to working examples I have in my open source projects.

Hi Pablo, as I just wrote under Arjun's comment below (I reply very late), lately I have no time for videos, unfortunately. I will try to convince my employers to let me some time to prepare more tutorials. If you wish, you might take a look at my GitHub account: if you look at GitHub workflows and Azure Pipelines YAML files, you will find working examples of pipelines that build Python packages, run tests, run Flake8 linter to validate code formatting, and such. For example my web framework project has an `azure-pipelines.yml`: github.com/RobertoPrevato/BlackSheep

@@RobertoPrevato86 Thanks for you reply!

Hi! Sorry for replying so late, I'm very busy lately. You can see several examples in my GitHub account. For example, here github.com/RobertoPrevato/rodi you can see a project where I am both using GitHub workflows (defined by the YAML file inside the repository) to validate my code (running Flake8 linter and unit tests), and in the README you find a link to an Azure DevOps project with pipelines. Please also take a look at azure-pipelines.yml file in my web framework project: github.com/RobertoPrevato/BlackSheep

The first times configuring pipelines is tricky. :) If you take a look at my GitHub account, in several places you will find YAML files for GitHub workflows and Azure Pipelines, they are working and can be taken as example.

Thank You! I recently started again working on video tutorials (in the last years I've been 100% focused on open source contributions in GitHub). Soon I will make an updated version of this tutorial.