first do you know what language google used to create the speech to text search?
then can you create a speech to text django or google apps engine using python? i'm not a vb.net programmer and yes i know that such applications are usually created in java, couldn't they be created in jython? i have a django app i would like to introduce this feature to it.
i can use ispeech (not free!) or similar services, but before working with APIs (i don't like working with APIs to be honest unless it is facebook or google API), i'm looking to see if there's a python or jython library for that (i prefer python)
i found so far pyspeech it works on windows and my vps is linux so won't do me any good
Unlikely.
As you cannot install binaries in the Google App Engine environment, you would need build an entire speech recognition engine from scratch. This would be ..non-trival.
If you are not limited to Google App Engine however, there are Python bindings to existing packages, such as Sphinx
Related
I have a chatbot application that has backend modules coded in Java, AI features implemented with Python coding and frontend in ReactJs. My problem statement is:
The chatbot is such that it can be placed onto websites, but now I need to find a solution, how can I install this chatbot in an android app/iOS app? Perhaps, it is through an SDK.
I searched over multiple places but couldn't find an answer to how can I build an SDK including all these modules of different coding languages under one structure? Each of the modules have their own dependencies and not that the same module has been coded in a different language.
Need help here.
We working on a project which involves ML/AI integration to the native mobile application. We are programing our ML/AI code in python. Python code has dependencies, that we need to include in our mobile application.
We have tried with kivy but they only create .apk files and apk files can't be called from other apks. So, we need to create libraries that can be included in the android and ios projects.
Also, we tried chequopy but that doesn't support mediapipe which is in heart of our implementation.
Any guidance in that direction will go long way for us.
If your app was entirely self-contained in python including dependencies using recipes should be possible. If rewriting the native app is not an option maybe one idea is to serve the ML over an HTTP API running on a local server (eg flask). Quite cumbersome as users would need to install two apps
Can the pandas data analysis module run on Google App Engine?
My first inclination is no: the web page states "critical code paths compiled to C". So since this is not a purely python package, you cannot simply copy a directory or ZIP file into your app engine project.
Is it possible to "disable" the C extensions and have the module run in pure python (albeit slower)?
As of today, Google App Engine Python 2.7 runtime doesn't currently allow running arbitrary C extensions.
But it does allow inclusion of third party library that have been hand selected by the engineering team based on their popularity and developer demand.
You can request for a specific library to be included by filling a feature request on the public issue tracker. If it gets enough ☆☆☆ it is likely to be considered for inclusion in an upcoming release.
Basically I have a webfaction space (assume for the purposes of this question that its free).
I am trying to learn python by created some simple web applications on Google App Engine using Eclipse + Pydev for development.
So far I have some basic functionality working in App Engine, though I have had some frustration with some library imports not working and whatnot (this may not be app engine specific).
So, is it worth it to switch now to webfaction, and leave GAE?
I am trying to learn python by created
some simple web applications on Google
App Engine using Eclipse + Pydev for
development.
This seems reasonable. Nothing wrong with using GAE, Eclipse, and Pydev to learn to do Python web dev.
So far I have some basic functionality
working in App Engine, though I have
had some frustration with some library
imports not working and whatnot (this
may not be app engine specific).
So, is it worth it to switch now to
webfaction, and leave GAE?
You haven't provided much of a reason to leave GAE now that you've started there. I think that "some frustration" is normal for learning on any platform.
Beyond that I think this could descend into a general GAE good for learning vs. GAE bad for learning discussion.
So let me get that started...
Since GAE is a 'Platform as a service' (PaaS) it makes deployment and maintenance very simple. You can get right to coding and not worry about the platform. As well, this platform provides some services, such as e-mail and authentication that make those tasks very easy. For example, on first pass you can just make use of their authentication API (supports Google and now openID authentication I think) and leave more complicated authentication options for later.
On the other hand, this platform is kinda' non-standard. The datastore is the main issue and that affects Django. That's a pain because it means that the Django running on GAE is slightly different then the standard Django and the Django docs that you are reading might not apply for GAE, etc.
Here is a current thread about getting started with Django on GAE (which addresses the datastore issue):
http://groups.google.com/group/google-appengine-python/browse_thread/thread/8d1c945d27b6305f
Hope that helps.
I am developing a wiki using django which i plan to deploy later in google appengine. Is it possible to deploy textdiff like system in appengine?
The difflib package can be useful for generating diffs. It's written in pure Python and it's in the standard Python library, so I'd expect it to be available in Google App Engine.